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Purpose: Some universal accessibility practitioners have voiced that they experience a mismatch in the research focus and the need for knowledge within specialized problem domains. This study thus set out to identify the balance of research into the main areas of accessibility, the impact of this research, and how the research profile varies over time and across geographical regions. Method: All UAIS papers indexed in Scopus were analysed using bibliometric methods. The WCAG taxonomy of accessibility was used for the analysis, namely perceivable, operable, and understandable. Results: The results confirm the expectation that research into visual impairment has received more attention than papers addressing operable and understandable. Although papers focussing on understandable made up the smallest group, papers in this group attracted more citations. Funded research attracted fewer citations than research without funding. The breakdown of research efforts appears consistent over time and across different geographical regions. Researchers in Europe and North America have been active throughout the last two decades, while Southeast Asia, Latin America, and Middle East became active in during the last five years. There is also seemingly a growing trend of out-of-scope papers. Conclusions: Based on the findings, several recommendations are proposed to the UAIS editorial board.

Geoenvironmental Disasters - an open access journal of the International Consortium on Geo-disaster Reduction (ICGdR) - is being published since 2014. This contribution aims at characterising 115 papers published in the first five volumes of the journal (2014–2018) and outlining some future perspectives. It is shown what research topics (types of natural hazards and disasters) are a subject of published papers, what methods are employed to investigate them and what is the geographical focus. Further, it is shown who publishes research results in Geoenvironmental Disasters, international cooperation network and the impact of published papers. Based on these findings, we conclude that Geoenvironmental Disasters became established journal for disseminating results of research on diverse typers of natural disasters in various geographical environments accross the globe, and we opine that further advancement of the journal might be achieved by onward indexing efforts.

During Eugene Garfield's (EG's) lengthy career as information scientist, he published about 1,500 papers. In this study, we use the impressive oeuvre of EG to introduce a new type of bibliometric networks: keyword co-occurrences networks based on the context of citations, which are referenced in a certain paper set (here: the papers published by EG). The citation context is defined by the words which are located around a specific citation. We retrieved the citation context from Microsoft Academic. To interpret and compare the results of the new network type, we generated two further networks: co-occurrence networks which are based on title and abstract keywords from (1) EG's papers and (2) the papers citing EG's publications. The comparison of the three networks suggests that papers of EG and citation contexts of papers citing EG are semantically more closely related to each other than to titles and abstracts of papers citing EG. This result accords with the use of citations in research evaluation that is based on the premise that citations reflect the cognitive influence of the cited on the citing publication.

Four journals also say they are scrutinizing papers coauthored by Cao Xuetao after scientists raise questions about images on Twitter and PubPeer. Four journals also say they are scrutinizing papers coauthored by Cao Xuetao after scientists raise questions about images on Twitter and PubPeer.

Background Cannabis, cannabinoids and endocannabinoids are heavily investigated topics with many articles published every year. We aimed to identify the 100 most cited manuscripts among the vast literature and analyze their contents. Methods Web of Science (WoS) Core Collection was searched to identify the 100 most cited relevant manuscripts, which were analyzed with reference to (1) authorship, (2) institution, (3) country, (4) document type, (5) journal, (6) publication year, (7) WoS category, and (8) citation count. Semantic content and citation data of the manuscripts were analyzed with VOSviewer. Results The most cited manuscripts were published between 1986 and 2016, with the majority being published in the 2000s (n = 51). The number of citations for the top 100 articles ranged from 469 to 3651, with a median citation count of 635.5. The most prolific authors were Vincenzo Di Marzo (n = 11) and Daniele Piomelli (n = 11). The major contributing countries were USA (n = 49), Italy (n = 22), UK (n = 19), and France (n = 11). The most prolific institutions were University of California (n = 14), National Research Council of Italy (n = 12) and National Institutes of Health USA (n = 12). The manuscripts consisted of original articles (n = 75), reviews (n = 24) and a note (n = 1). The most dominant journal was Nature (n = 15). The major WoS categories associated were Multidisciplinary sciences (n = 31), Neurosciences (n = 20), Pharmacology / Pharmacy (n = 16), and General / Internal Medicine (n = 11). Conclusions The top-ranked manuscripts among the 100 were concerning analgesia, weight loss, long-term potentiation, depolarization-induced suppression of inhibition, opiates and other topics. Cannabinoid type 1 (CB1) receptor was studied by more of the top 100 papers in comparison to cannabinoid type 2 (CB2) receptor. The most frequently mentioned chemicals in these publications were 2-arachidonoylglycerol, tetrahydrocannabinol, and anandamide. Together, these manuscripts comprise the most highly cited publications in the topic, literally the molecular neuroscience at its “high”.

Background Compulsory submission of a checklist from the relevant reporting guideline is one of the most widespread journal requirements aiming to improve completeness of reporting. However, the current suboptimal levels of adherence to reporting guidelines observed in the literature may indicate that this journal policy is not having a significant effect. Findings We explored whether authors provided the appropriate CONSORT checklist extension for their study and whether there were inconsistencies between what authors claimed on the submitted checklist and what was actually reported in the published paper. We randomly selected 12 randomized trials from three journals that provide the originally submitted checklist and analyzed six core CONSORT items. Only one paper used the appropriate checklist extension and had no inconsistencies between what was claimed in the submitted checklist and what was reported in the published paper. Conclusion Journals should take further actions to take full advantage of the requirement for the submission of fulfilled CONSORT checklists, thus ensuring that these checklists reflect what is reported in the manuscript. Electronic supplementary material The online version of this article (10.1186/s13063-018-2475-0) contains supplementary material, which is available to authorized users.

Background The preliminary results of a study are usually presented as an abstract in conference meetings. The reporting quality of those abstracts and the relationship between their study designs and full paper publication rate is unknown. We hypothesized that randomized controlled trials are more likely to be published as full papers than observational studies. Methods 154 oral abstracts presented at the World Congress of Sports Injury Prevention 2005 Oslo and the corresponding full paper publication were identified and analysed. The main outcome measures were frequency of publication, time to publication, impact factor, CONSORT (for Consolidated Standards of Reporting Trials) score, STROBE (for Strengthening the Reporting of Observational Studies in Epidemiology) score, and minor and major inconsistencies between the abstract and the full paper publication. Results Overall, 76 of the 154 (49%) presented abstracts were published as full papers in a peer-reviewed journal with an impact factor of 1.946 ± 0.812. No significant difference existed between the impact factor for randomized controlled trials (2.122 ± 1.015) and observational studies (1.913 ± 0.765, p = 0.469). The full papers for the randomized controlled trials were published after an average (SD) of 17 months (± 13 months); for observational studies, the average (SD) was 12 months (± 14 months) (p = 0.323). A trend was observed in this study that a higher percentage of randomized controlled trial abstracts were published as full papers (71% vs. 47%, p = 0.078) than observational trials. The reporting quality of abstracts, published as full papers, significantly increased compared to conference abstracts both in randomized control studies (CONSORT: 5.7 ± 0.7 to 7.2 ± 1.3; p = 0.018, CI -2.7 to -0.32) and in observational studies (STROBE: 8.2 ± 1.3 to 8.6 ± 1.4; p = 0.007, CI -0.63 to -0.10). All of the published abstracts had at least one minor inconsistency (title, authors, research center, outcome presentation, conclusion), while 65% had at least major inconsistencies (study objective, hypothesis, study design, primary outcome measures, sample size, statistical analysis, results, SD/CI). Comparing the results of conference and full paper; results changed in 90% vs. 68% (randomized, controlled studies versus observational studies); data were added (full paper reported more result data) in 60% vs. 30%, and deleted (full paper reported fewer result data) in 40% vs. 30%. Conclusions No significant differences with respect to type of study (randomized controlled versus observational), impact factor, and time to publication existed for the likelihood that a World Congress of Sports Injury conference abstract could be published as a full paper.

Forcing research to fit the mould of high-impact journals weakens it. Hiring decisions should be based on merit, not impact factor, says Reinhard Werner.

[EN] Peer-to-peer (P2P) lending uses two-sided platforms to link borrowers with a crowd of lenders. Despite considerable diversity in crowdlending research, studies in this area typically focus on several common research topics, including information asymmetries, social capital, communication channels, and rating-based models. This young research field is still expanding. However, its importance has increased considerably since 2018. This rise in importance suggests that P2P lending may offer a promising new scientific research field. This paper presents a bibliometric study based on keyword co-occurrence, author and reference co-citations, and bibliographic coupling. The paper thus maps the key features of P2P lending research. Although many of the most cited papers are purely financial, some focus on behavioral finance. The trend in this field is toward innovative finance based on new technologies. The conclusions of this study provide valuable insight for researchers, managers, and policymakers to understand the current and future status of this field. The variables that affect new financial contexts and the strategies that promote technology-based financial environments must be investigated in the future., Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.

Many believe that the quality of a scientific publication is as good as the science it cites. However, quantifications of how features of reference lists affect citations remain sparse. We examined seven numerical characteristics of reference lists of 50,878 research articles published in 17 ecological journals between 1997 and 2017. Over this period, significant changes occurred in reference lists’ features. On average, more recent papers have longer reference lists and cite more high Impact Factor papers and fewer non-journal publications. We also show that highly cited articles across the ecological literature have longer reference lists, cite more recent and impactful references, and include more self-citations. Conversely, the proportion of ‘classic’ papers and non-journal publications cited, as well as the temporal span of the reference list, have no significant influence on articles’ citations. From this analysis, we distill a recipe for crafting impactful reference lists, at least in ecology.

Open access (OA) publications have changed the paradigm of dissemination of scientific research. Their benefits to low-income countries underline their value; however, critics question exorbitant publication fees as well as their effect on the peer review process and research quality.This study reports on the prevalence of OA publishing in orthopaedic research and compares benchmark citation indices as well as evidence quality derived from OA journals with conventional subscription based orthopaedic journals.All 63 orthopaedic journals listed in ISI's Web of Knowledge Journal Citation Report (JCR) were examined. Bibliometric data attributed to each journal for the year 2012 was acquired from the JCR. Studies that fulfilled the criteria of level I evidence were identified for each journal within PubMed. Individual journal websites were reviewed to identify their open access policy. A total of 38 (60.3 %) journals did not offer any form of OA publishing; however, 20 (31.7 %) hybrid journals were identified which offered authors the choice to publish their work as OA if a publication fee was paid. Only five (8 %) journals published all their articles as OA. There was variability amongst the different publication fees for OA articles. Journals that published OA articles did not differ from subscription based journals on the basis of 2012 impact factor, citation number, self citation proportion or the volume of level I evidence published (p 0.05).OA journals are present in orthopaedic research, though in small numbers. Over a third of orthopaedic journals catalogued in the ISI Web of Knowledge JCR® are hybrid journals that provide authors with the opportunity to publish their articles as OA after a publication fee is paid. This study suggests equivalent importance and quality of articles between OA and subscription based orthopaedic journals based on bibliometric data and the volume of level I evidence produced. Orthopaedic researchers must recognize the potential benefits of OA publishing and its emerging presence within the field. Further examination and consensus is required in orthopaedic research to generate an OA system that is robustly regulated and maintains research quality.

Metabolic surgery has become a powerful treatment for obese type 2 diabetes (T2DM). Experts have been devoting to the research of metabolic surgery in the treatment of T2DM. The debate continues, and there is no comprehensive statistical and intuitive analysis for it. To explore the current research status, the latest hotspots and the changing trend in this field, we conducted a bibliometric analysis. This paper made a bibliometric analysis based on the data source from Science Core Collection Network (WoSCC). Vosviewer v.1.6.10 software is used to construct a knowledge map. From 2011 to 2020, 1424 peer-reviewed papers on metabolic surgery for T2DM were retrieved. The United States contributed the most publications and gained global impact with the most citations. Obesity Surgery was the most prolific journal in this field. Prof. Schauer Philip R., Prof. Buchwald H. and Prof. Sjostrom L. were the most renowned experts in this aspect. The top cited references discussed the status of metabolic surgery for the treatment of T2DM worldwide and the importance of regular evaluation. The extracted keywords mainly formed three clusters: (1) research on the selection of different metabolic surgery methods; (2) possible mechanisms; (3) improvement of T2DM complications by metabolic surgery. Our study makes a comprehensive and objective analysis of metabolic surgery in obese patients with T2DM, providing valuable information for further clinical application and related scientific research. Researchers can quickly locate research hotspots in a large number of relevant literature.

To analyze the top 100 cited papers on ophthalmic trauma.A literature search of Ophthalmology journals within the ISI Web of Science database for the most cited papers related to ophthalmic trauma.The most cited articles were published between 1943 and 2013, the greatest number being published in 2000. Ophthalmology (45), Archives of Ophthalmology (17), and the American Journal of Ophthalmology (15) published most of the articles. The institutions with the highest number of publications were Wilmer Eye Institute (10) and Massachusetts Eye and Ear Infirmary (7). Sixty-seven percent of the articles originated from the USA. The most common type of trauma studied was non-open-globe injuries and the most frequent topic studied were pathological conditions secondary to trauma (34), particularly endophthalmitis (8), and optic neuropathy (6). Articles presenting a standardized classification system for eye injury received the highest average of citations per publication. Types of research most frequently cited were observational clinical studies (62) and epidemiological studies (30); the least frequent were clinical trials (2).This bibliographic study provides a historical perspective of the literature and identifies trends within the most highly influential papers on ophthalmic trauma. Many of these articles emerged within the past three decades and came from Ophthalmology journals that remain high impact to this day. Clinical trials have been difficult to conduct and are lacking, reflecting a critical need in ophthalmic trauma research, as most of our understanding of ophthalmic trauma comes from observational and epidemiological studies.

The aim of this study is to provide a bibliometric analysis and mapping of existing scientific papers, focusing on microalgae cultivation coupled with biomass production and bioremediation of wastewater from cassava, dairy, and coffee industries. Using the Web of Science (WoS) database for the period 1996–2019, a search was performed using a keyword strategy, aiming at segregating the papers in groups. The keywords used in this search were “wastewater treatment,” “microalgae,” “cassava,” “dairy,” and “coffee” for the first step, resulting in 114 papers; for the second step, we used the keywords “wastewater treatment,” “biomass productivity,” “microalgae,” “economic viability,” and “environmental impacts,” which resulted in 29 scientific papers. In these papers, keywords such as “carbon dioxide biofixation” and “removal of nutrients by the production of biomass by microalgae” followed by “environmental and economic impacts” were highlighted. Some of these papers also presented an analysis of the economic feasibility of the process, including costs of production systems, which reveal the state-of-the-art setup required to make the cultivation of microalgae economically viable. Research in eco-industrial parks is needed to improve the integration of microalgae production systems using wastewater as a source of nutrients, aiming to achieve the global goal of bioremediation and clean alternatives for renewable energy generation.

This paper develops a methodological framework to review the literature relevant to the implications of social cohesion for entrepreneurs collaborating in the pursuit of innovation. The framework is then used to understand the current state of the art for that phenomenon. Thirdly, a theoretical model is developed for areas of concern in the stewardship of collaborating entrepreneurs. The abstracts of 631 academic resources between 1950 and 2020 are analyzed using Webster and Watson’s (MIS Quarterly, 26(2):xiii–xxiii, 2002) methodology. Sixty-four salient resources are identified and critically analyzed, categorizing research methodology, subject area, and additional, pertinent bibliometrics. Entrepreneurial collaboration is an emerging field of research that draws from a variety of disciplines and requires clarification in its use of terminology for both entrepreneurial collaboration and social cohesion. In addition to making those clarifications, the tendency of managers to maintain a hands-off approach in their oversight of entrepreneurial cadres is challenged. The theoretical model provides a useful overview of related concepts for future research and encourages managers to rethink their agency as necessary and not as a matter of interference. This paper contributes to the growing field of entrepreneurial collaboration by proposing the moderation of social cohesion as a means to sustain innovation.

Research and development are central to economic growth, and a key challenge for countries of the global South is that their research performance lags behind that of the global North. Yet, among Southern researchers, a few significantly outperform their peers and can be styled research “positive deviants” (PDs). In this paper we ask: who are those PDs, what are their characteristics and how are they able to overcome some of the challenges facing researchers in the global South? We examined a sample of 203 information systems researchers in Egypt who were classified into PDs and non-PDs (NPDs) through an analysis of their publication and citation data. Based on six citation metrics, we were able to identify and group 26 PDs. We then analysed their attributes, attitudes, practices, and publications using a mixed-methods approach involving interviews, a survey and analysis of publication-related datasets. Two predictive models were developed using partial least squares regression; the first predicted if a researcher is a PD or not using individual-level predictors and the second predicted if a paper is a paper of a PD or not using publication-level predictors. PDs represented 13% of the researchers but produced about half of all publications, and had almost double the citations of the overall NPD group. At the individual level, there were significant differences between both groups with regard to research collaborations, capacity development, and research directions. At the publication level, there were differences relating to the topics pursued, publication outlets targeted, and paper features such as length of abstract and number of authors.

Background The number of citations an article receives is a marker of its scientific influence within a particular specialty. This bibliometric analysis intended to recognise the top 100 cited articles in minimally-invasive cardiac surgery, to determine the fundamental subject areas that have borne considerable influence upon clinical practice and academic knowledge whilst also considering bibliometric scope. This is increasingly relevant in a continually advancing specialty and one where minimally-invasive cardiac procedures have the potential for huge benefits to patient outcomes. Methods The Web of Science (Clarivate Analytics) data citation index database was searched with the following terms: [Minimal* AND Invasive* AND Card* AND Surg*]. Results were limited to full text English language manuscripts and ranked by citation number. Further analysis of the top 100 cited articles was carried out according to subject, author, publication year, journal, institution and country of origin. Results A total of 4716 eligible manuscripts were retrieved. Of the top 100 papers, the median (range) citation number was 101 (51–414). The most cited paper by Lichtenstein et al. (Circulation 114(6):591–596, 2006) published in Circulation with 414 citations focused on transapical transcatheter aortic valve implantation as a viable alternative to aortic valve replacement with cardiopulmonary bypass in selected patients with aortic stenosis. The Annals of Thoracic Surgery published the most papers and received the most citations (n = 35; 3036 citations). The United States of America had the most publications and citations (n = 52; 5303 citations), followed by Germany (n = 27; 2598 citations). Harvard Medical School, Boston, Massachusetts, published the most papers of all institutions. Minimally-invasive cardiac surgery pertaining to valve surgery (n = 42) and coronary artery bypass surgery (n = 30) were the two most frequent topics by a large margin. Conclusions This work establishes a comprehensive and informative analysis of the most influential publications in minimally-invasive cardiac surgery and outlines what constitutes a citable article. Undertaking a quantitative evaluation of the top 100 papers aids in recognising the contributions of key authors and institutions as well as guiding future efforts in this field to continually improve the quality of care offered to complex cardiac patients.

Background With the development of digital pathology and the renewal of deep learning algorithm, artificial intelligence (AI) is widely applied in tumor pathology. Previous researches have demonstrated that AI-based tumor pathology may help to solve the challenges faced by traditional pathology. This technology has attracted the attention of scholars in many fields and a large amount of articles have been published. This study mainly summarizes the knowledge structure of AI-based tumor pathology through bibliometric analysis, and discusses the potential research trends and foci. Methods Publications related to AI-based tumor pathology from 1999 to 2021 were selected from Web of Science Core Collection. VOSviewer and Citespace were mainly used to perform and visualize co-authorship, co-citation, and co-occurrence analysis of countries, institutions, authors, references and keywords in this field. Results A total of 2753 papers were included. The papers on AI-based tumor pathology research had been continuously increased since 1999. The United States made the largest contribution in this field, in terms of publications (1138, 41.34%), H-index (85) and total citations (35,539 times). We identified the most productive institution and author were Harvard Medical School and Madabhushi Anant, while Jemal Ahmedin was the most co-cited author. Scientific Reports was the most prominent journal and after analysis, Lecture Notes in Computer Science was the journal with highest total link strength. According to the result of references and keywords analysis, “breast cancer histopathology” “convolutional neural network” and “histopathological image” were identified as the major future research foci. Conclusions AI-based tumor pathology is in the stage of vigorous development and has a bright prospect. International transboundary cooperation among countries and institutions should be strengthened in the future. It is foreseeable that more research foci will be lied in the interpretability of deep learning-based model and the development of multi-modal fusion model.

The order in which authors of a scientific paper place their names on the byline follows in many research fields some implicit rules. In most fields, the first author is considered to be the one who contributed most to the intellectual effort described in the paper. Additionally, the last author is normally the most senior researcher and in many situations the contribution to the paper is more indirect. In this manuscript, we intend to analyse the evolution of the positions of computer science (CS) researchers on the bylines of scientific papers throughout their careers. In particular, this bibliometic study considers the Association for Computing Machinery (ACM) Fellows (the most prestigious members) that present a long and rich publication record. Our hypothesis is that young CS authors tend to have their names placed in the first positions of the bylines, while senior CS researchers are often considered as last authors. Several statistical analyses were conducted by using biblometric data collected from ACM Fellows and other CS researchers. Overall, the obtained results do confirm our initial hypothesis., This work has been supported by FCT—Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020. We would also like to thank the anonymous reviewers for the insightful comments that helped improving the contents of the manuscript.

Background Bibliometric have been widely applied to the evaluation of academic productivity. However, those of individuals or institutions on a specific disease have not been explored. The aim of the present study is to conduct a bibliometric analysis of particular rare disease and investigate whether those doctors and hospitals with higher index screened by this method specialize in this disease. Methods A representative rare disease, Wilson disease (WD), was searched on Clarivate Analytics’ Web of Science and Elsevier’s Scopus, which was published in English between 1 January 2001 and 31 December 2020. Clinical authors and medical institutions with the most papers were screened, and their total number of publications and citations, h-index and g-index were computed and then ranked by h-index. Results A total of 6856 and 6193 papers and 200 and 160 authors were got from WoS and Scopus, respectively. Scopus provided 160 institutions. The above bibliometric indices were calculated in 100 researchers and 80 institutions, and top 30 authors (Top-30a) and top 20 institutions (Top-20i) of them based on the h-index were listed in the tables. Top-30a came from seven specialties and 13 countries whose median (interquartile range) h-index was 14 (12–19.5) (range 10–28) which was located between associate and full professors in some other disciplines. Top-20i was distributed in 13 countries whose mean ± standard deviation of the h-index was 15 ± 4.9 (range 10–27). Conclusions The related specialists and medical institutions of WD screened by specific disease bibliometric analysis are eminent and credible and benefit WD patients to obtain reliable medical treatment. This model may be suitable for other rare diseases.

Background Coronavirus disease 2019 (COVID-19) has had a significant influence on nutritional status. There have been several studies on dietary habits and nutritional status in connection with COVID-19. However, there has been no research on the bibliometric analysis of these papers. Therefore, our objective was to assess the most relevant scientific research on nutrition and COVID-19, as well as to assess current hot themes. Methods We obtained data from the Scopus database on June 30, 2021. Qualitative and quantitative analyzes were conducted based on the Scopus. Collaboration and term analysis was performed using VOSviewer software version 1.6.16. Results At the time of data collection, there were 177,946 documents in COVID-19. Scopus found 1885 articles related to nutrition and COVID-19 after narrowing the search to those terms. This includes 1309 (69.44%) research articles, 268 (14.22%) review papers, and 308 other types of document. The USA was the largest producer, with 24.83% of the documents, followed by Italy with 11.88% (n = 224), the UK with 10.82% (n = 204), and China with 7.59% (n = 143). The most active institution was Sapienza Università di Roma (n = 30, 1.59%). The leading journal in COVID-19 nutrition research was Nutrients (n = 115, 6.10%). The article with 310 citations published by Di Renzo et al. in 2020 was the most influential reference. The hot topics were stratified into three clusters: (1) “Food security in the COVID-19 pandemic”; (2) “nutritional determinants and COVID-19 outcomes”; and (3) “changes in dietary habits during the COVID-19 pandemic and its consequences”. Conclusions This is the first bibliometric research to offer comprehensive information on COVID-19 and nutrition in the published literature. Research will likely be helpful to scholars and policymakers. This study sheds light on the growth and development of nutrition and covid-19-related research and should contribute to the expansion of the global frontier in the major hot topics, including “food security in the COVID-19 pandemic”; “nutritional determinants and COVID-19 outcomes”; and “changes in diet habits during the COVID-19 pandemic and its consequences”.

A publically available database of the most highly cited scientists in all disciplines was used to identify people that belonged to the subject category “forensic science and legal medicine.” This bibliometric information was derived from Elsevier’s SCOPUS database containing eight million scientists with at least five articles as author or co-author. The top 100,000 most highly cited scientists were identified and ranked according to six citation metrics; total number of citations, H-index, H-index adjusted for co-authorship, citations to single-authored papers, citations to single or first author papers and, citations to single, first, or last-authored papers. The eight million entries in the SCOPUS database were sub-divided into 22 main subject categories and 176 sub-categories, one of which was legal and forensic medicine. The citation databases were provided as supplementary material in two articles published in PLoS Biology in 2019 and 2020. Among the top 100,000 most highly cited scientists, there were only 30 allocated to the legal and forensic medicine category, according to the 2019 PLoS Biology article. The updated database from 2020 also included the names of people within the top-cited 2% of their scientific discipline. This increased the number of forensic practitioners to 215 from a total of 10,158 individuals in this subject category. This article takes a closer look at these highly cited forensic scientists, the countries where they work, the particular research field in which they publish, and their composite citation scores with and without self-citations. The top ten most cited individuals in both databases (2019 and 2020) were the same and these should therefore be considered an elite group among all forensic practitioners. Supplementary Information The online version contains supplementary material available at 10.1007/s00414-020-02491-x.

The interdependence of science and technology has been of high interest for researchers from different fields for several decades now. As they represent different means of knowledge output protection, patents and research articles generally have different reasons for creation and different audiences. However, some of the inventors may be interested in making an impact on the scientific community and vice versa. This interaction between technology space (patents) and science space (articles) is especially important for high-technology fields, where both research institutions and enterprises play important roles in the innovative environment. This paper investigates the interaction between science and technology in the case of German plant biotechnology. With the help of network analysis tools, the evolution and co-evolution of co-inventors’ and co-authors’ networks for the period 1995–2015 is explored. Finally, the topics of the patents and papers from the overlap were analyzed with the help of text mining tools in order to identify the differences of topics between science/technology and their overlap. As a result, sizable differences in nature and advancement are observed between the two network types. Although the overlap between these spheres of innovative activities increased over time, the role author-inventors played in the science or technology space varied.

As an emerging and applicable method, deep learning (DL) has attracted much attention in recent years. With the development of DL and the massive of publications and researches in this direction, a comprehensive analysis of DL is necessary. In this paper, from the perspective of bibliometrics, a comprehensive analysis of publications of DL is deployed from 2007 to 2019 (the first publication with keywords “deep learning” and “machine learning” was published in 2007). By preprocessing, 5722 publications are exported from Web of Science and they are imported into the professional science mapping tools: VOS viewer and Cite Space. Firstly, the publication structures are analyzed based on annual publications, and the publication of the most productive countries/regions, institutions and authors. Secondly, by the use of VOS viewer, the co-citation networks of countries/regions, institutions, authors and papers are depicted. The citation structure of them and the most influential of them are further analyzed. Thirdly, the cooperation networks of countries/regions, institutions and authors are illustrated by VOS viewer. Time-line review and citation burst detection of keywords are exported from Cite Space to detect the hotspots and research trend. Finally, some conclusions of this paper are given. This paper provides a preliminary knowledge of DL for researchers who are interested in this area, and also makes a conclusive and comprehensive analysis of DL for these who want to do further research on this area.

Percentiles are statistics pointing to the standing of a paper’s citation impact relative to other papers in a given citation distribution. Percentile Ranks (PRs) often play an important role in evaluating the impact of researchers, institutions, and similar lines of study. Because PRs are so important for the assessment of scholarly impact, and because citations differ greatly across time and fields, various percentile approaches have been proposed to time- and field-normalize citations. Unfortunately, current popular methods often face significant problems in time- and field-normalization, including when papers are assigned to multiple fields or have been published by more than one unit (e.g., researchers or countries). They also face problems for estimating citation counts for pre-defined PRs (e.g., the 90th PR). We offer a series of guidelines and procedures that, we argue, address these problems and others and provide a superior means to make the use of percentile methods more accurate and informative. In particular, we introduce two approaches, CP-IN and CP-EX, that should be preferred in bibliometric studies because they consider the complete citation distribution and can be accurately interpreted. Both approaches are based on cumulative frequencies in percentages (CPs). The paper further shows how bar graphs and beamplots can present PRs in a more meaningful and accurate manner.

On January 1, 2015, the Republic of Armenia joined the (Russian-led) Eurasian Economic Union (EAEU) and actually refrained from entering into the alternative Association Agreement with the European Union (EU). Nevertheless, despite the prevalence of historic ties with the scientific community of the EAEU member-states and some push towards that direction, Armenian researchers demonstrate a certain scientific autonomy, which is expressed in numerous international scientific collaborations with researchers from many European countries. This paper proposes a bibliometric analysis of the international scientific collaboration between (i) Armenia and EU countries, and (ii) Armenia and EAEU countries, based on the papers indexed by the Web of Science Core Collection database and the Russian Science Citation Index database. Results indicate that the international collaboration with researchers from countries of both blocks gradually grows, displaying similarities and differences. Globally, Armenian researchers seem to collaborate more with researchers from EU countries rather than EAEU countries. Despite this, individual collaborations with Russia continue to prevail over those with other individual European countries, primarily Germany. Finally, it has been noted that “megaprojects” significantly influence the scientific collaborations between Armenian and foreign researchers.

Probabilistic linguistic term set (PLTS) has been proposed to tackle qualitative information efficiently in the decision-making process to achieve computing with expressions, which can be regarded as an advanced process of computing with words. The PLTS plays an important role in decision making by providing a comprehensive way for representing complex linguistic information. Owning to its usefulness and efficiency, the PLTS has attracted a lot of researchers’ attention, and fruitful research achievements regarding it has been published since it was introduced in 2016. As the probabilistic linguistic theory is still in its infancy, a survey of it contributes to understanding the previous topics and the current issues, and predicting the future research directions in this area. To implement these goals, this paper is organized by bibliometric analysis, definitions, multiple criteria decision-making methods, preference relations, and applications. Twelve future research directions related to the probabilistic linguistic decision-making theory are indicated. This paper provides some insights for researchers and practitioners who have interest in complex linguistic decision making.

Child sexual abuse (CSA) is a serious public health problem (Gilbert et al. in Lancet 373(9658):167–180, 2009a. https://doi.org/10.1016/S0140-6736(08)61707-9; Singh et al. in J Fam Med Prim Care 3(4):430–435, 2014. https://doi.org/10.4103/2249-4863.148139; Veenema et al. in Int J Nurs Stud 52(4):864–881, 2015. https://doi.org/10.1016/j.ijnurstu.2014.10.017) and a risk factor for child development (Barth et al. in Int J Public Health 58(3):469–483, 2013. https://doi.org/10.1007/s00038-012-0426-1). The present bibliometric analysis evaluated research performance and trends of CSA research from 1991 to 2017. The analysis was based on data extracted from Science Citation Index Expanded. The results revealed a progressive increase in the volume of indexed articles that sharply grows between 2009 and 2017. The majority of the papers analyzed were in the area of psychiatry. In total, these articles were published mostly in English and in 777 journals, the largest volume of articles were in the field of pediatrics. The journal authors come from 105 countries, with the United States ranking on the top in all bibliometrics indicators assessed, including number of articles produced by institution. Three thousand seven hundred and fourteen articles (3714) articles on CSA were utilized to calculate the Y-index for authors. From the authors, J.D. Bremner and G. Hornor have the highest contributions with a Y-index of 24 (0.7854). Other findings indicated that the peak of citations per publication occured in the 5th year. The most frequently cited and most impactful article was from Felitti et al. (Am J Prev Med 14(4):245–258, 1998. https://doi.org/10.1016/S0749-3797(98)00017-8). Six of the ten highly cited papers maintained their impact according to the 2017 citations. Data also revealed that research trends in the field of CSA can be clustered into 11 categories, with violence being the one that concentrates the greatest number of terms used in the papers. The three main hotspots are sexual abuse, maltreatment and sexual development. Lastly, this article discusses the type of research that contributes to the body of knowledge about CSA and the challenges this poses for the projection of future studies.

This study is aim to determine significant changes and trends in neuroscience literature concerning Medical Subject Headings (MeSH) from 2000 to 2017. This article encourage researchers to help identify perhaps the most influential studies and combine detailed evidence into study-considered higher education. To our knowledge and understanding, almost no study found alterations in neuroscientific literature during the last decade in Turkey. In this study, the main aim is to present a science map of “Neuroscience literature”, is a growing field of research in Turkey. This study explores maps of scientific publications related to research in Neuroscience that accuracy of clustering and classification of scientific fields is enhanced by incorporation of algorithms and main bibliometric analysis. Data were extracted from the Web of Science (WoS) database and matched with PubMed database via PubMed ID. Only articles published in journals classified under the Web of science category (WC) “Neurosciences” over the period of interest were included. MeSH term, abstract fields and references of each included publication were extracted and analyzed via Bibliotools software to identify recurring terms with high relative citation scores. MeSH term maps were produced for publications over the study period to illustrate the extent of co-occurrence, and the impact of terms was evaluated based on their relative citation scores. To further describe the recent research priority or “hot spots,” MeSH terms, Journals, authors with the highest relative citation scores were identified annually. We focused on two successive periods: in 2000–2007 there are 1807 publications in WoS and 1510 publications in the bibliographic coupling (BC). 1291 publications gathered in 16 top clusters and 1103 publications gathered in 47 subtop clusters. In 2008–2017: there are 3668 publications in WoS, 3312 publications in the BC network. 2924 publications gathered in 20 top clusters and 2500 publications gathered in 87 subtop clusters. In the corpus description interface, interactive tools are used to explore the nature of the two studied corpora by listing MeSH terms, references, categories, authors, journals, institutions, countries, etc. by frequency of use. In the BC interface, interactive tools are used to explore the multiple dimensions of the topics (or clusters) unveiled by our analysis. The two periods were studied independently, and although we use matching colors for topics that obviously correspond to one another from one-time period to another. We focused on two successive periods: in 2000–2007 there are 1807 publications in WoS and 1510 publications in the bibliographic coupling (BC). 1291 publications gathered in 16 top clusters and 1103 publications gathered in 47 subtop clusters. In 2008–2017: there are 3668 publications in WoS, 3312 publications in the BC network. 2924 publications gathered in 20 top clusters and 2500 publications gathered in 87 subtop clusters. In the corpus description interface, interactive tools are used to explore the nature of the two studied corpora by listing MeSH terms, references, categories, authors, journals, institutions, countries, etc. by frequency of use. In the BC interface, interactive tools are used to explore the multiple dimensions of the topics (or clusters) unveiled by our analysis. The two periods were studied independently, and although we use matching colors for topics that obviously correspond to one another from one-time period to another. In recent years, because of an increase in the size of the aging population, the trend of neuroscience research has been increased. Neuroscience is currently the fastest growing area in basic scientific research. This paper gives a contemporary summary to scientists and medical professionals interested in research and innovation in this field. Furthermore, Neuroscience research plays a vital role in the development of instruments categories of emerging medical technology. It is clear that this paper helps researchers who study the neuroscience to recognize significant changes and trends in the literature of neurosciences.

Insufficient penile erection to facilitate vaginal penetration is a medical condition referred to as erectile dysfunction (ED). By the year 2025, the number of ED cases across the world is expected to reach 322 million. There are numerous publications and studies in the field of ED over the past decades. Our aim is to comprehensively analyze the global scientific outputs of ED research and show the trends and hotspots in ED research. Data of publications were downloaded from the Web of Science Core Collection. We used CiteSpace IV and Excel 2016 to analyze literature information, including journals, countries/regions, institutes, authors, citation reports, and research frontiers. Until October 26, 2018, a total of 8880 papers in ED research were identified as published between 2008 and 2018. Journal of Sexual Medicine published the most articles. The United States contributed the most publications and occupied leading positions in H-index value and the number of ESI top papers. Maggi M owned the highest co-citations. The keyword “Oxidative stress” ranked first in the research front-line. The amount of articles published in ED research has been stable from 2008 to 2018. The United States showed enormous progress in ED research, and is still the dominant country. Oxidative stress, vardenafil, and late-onset hypogonadism were the latest research frontiers and should be paid more attention.

This study is intended to facilitate fair research evaluations in economics. Field- and time-normalisation of citation impact is the standard method in bibliometrics. Since citation rates for journal papers differ substantially across publication years and Journal of Economic Literature classification codes, citation rates should be normalised for the comparison of papers across different time periods and economic subfields. Without normalisation, both factors that are independent of research quality might lead to misleading results of citation analyses. We apply two normalised indicators in economics, which are the most important indicators in bibliometrics: (1) the mean normalised citation score (MNCS) compares the citation impact of a focal paper with the mean impact of similar papers published in the same economic subfield and publication year. (2) PPtop 10 % is the share of papers that belong to the 10% most cited papers in a certain subfield and time period. Since the MNCS is based on arithmetic averages despite skewed citation distributions, we recommend using PPtop 10 % for fair comparisons of entities in economics. In this study, we apply the normalisation methods to 294 journals (including normalised scores for 192,524 papers). We used the PPtop 10 % results for assigning the journals to four citation impact classes. Seventeen journals have been identified as outstandingly cited. Two journals, Quarterly Journal of Economics and Journal of Economic Literature, perform statistically significantly better than all other journals. Thus, only two journals can be clearly separated from the rest in economics.

The increasing importance of academic entrepreneurship as a key mechanism for new innovative advancements and regional economic developments fostered a development of this research domain. The burgeoning literature examining key antecedents and consequences of academic entrepreneurship resulted in complex, multifaceted concept development, which hinder both the possibilities to grasp the crucial interlinkages and a comprehensive assessment of the latest theoretical contributions. Thus, to decrease the current risk of the field’s further fragmentation and to support the comparison with the new emerging patterns, this paper seeks to develop new bibliometric insights and outline a nuanced research agenda for further advancements. To conduct a quantitative literature review, this paper employs bibliographic coupling on a sample of 615 Web of Science peer-reviewed articles on academic entrepreneurship. To conduct a comprehensive interpretation of the bibliometric findings, I perform additional hierarchical clustering of the frequent terms and content analysis of the publications. The results indicate that the academic entrepreneurship research field is based on four interconnected clusters: (1) the anatomy of an entrepreneurial university and its main components, (2) university spinoffs and technology commercialization, (3) the identities of academic entrepreneurs and their motivations and barriers in entrepreneurial activities, and (4) knowledge transfer and regional economic impacts. These findings are of high importance to academics who seek to enhance entrepreneurial processes and to policymakers interested in stimulating academic entrepreneurship.

Recently, the integrated impact indicator (I3) was introduced where citations are weighted in accordance with the percentile rank class of each publication in a set of publications. I3 can also be used as a field-normalized indicator. Field-normalization is common practice in bibliometrics, especially when institutions and countries are compared. Publication and citation practices are so different among fields that citation impact is normalized for cross-field comparisons. In this study, we test the ability of the indicator to discriminate between quality levels of papers as defined by Faculty members at F1000Prime. F1000Prime is a post-publication peer review system for assessing papers in the biomedical area. Thus, we test the convergent validity of I3 (in this study, we test I3/N—the size-independent variant of I3 where I3 is divided by the number of papers) using assessments by peers as baseline and compare its validity with several other (field-normalized) indicators: the mean-normalized citation score, relative-citation ratio, citation score normalized by cited references, characteristic scores and scales, source-normalized citation score, citation percentile, and proportion of papers which belong to the x% most frequently cited papers (PPtop x%). The results show that the PPtop 1% indicator discriminates best among different quality levels. I3 performs similar as (slightly better than) most of the other field-normalized indicators. Thus, the results point out that the indicator could be a valuable alternative to other indicators in bibliometrics.

Bibliometrics is an important branch in the field of information science, and it is widely used in many disciplines in modern research. A current active research subject can be analyzed and summarized from many aspects, such as the core institutions, core authors, highly cited papers, and keywords by using bibliometrics. This paper describes a bibliometric analysis regarding soil arsenic content by using the database from Web of Science to compare relevant research from work done domestically and abroad from 2005 to 2016. The results show that the relevant publications in China and overseas both dramatically increased from 2009, which indicates that research activity is expanding. The USA produced 27.3% of all relevant articles followed by China with 26.9% and India with 9.5%. Key issues mainly focused on agriculture and environmental science. Major journals studied include the following: Science of the Total Environment, Environmental and Experimental Botany, Environmental Pollution, Chemosphere, Journal of Hazardous Materials, Journal of Environmental Chemical Engineering, Journal of Geochemical Exploration, Ecotoxicology and Environmental Safety, Environmental Research, Talanta, and Applied Geochemistry. These are the most important journals in this field. In light of cooperation between countries, it is clear that China and the United States occupy the leading position.

While environmental governance has been a significant topic in environmental studies, the shared understanding of diverse streams of literature on environmental governance remains unclear because of the vast number of publications on the topic without explicit and systemic interlinkages among them. To understand the diverse trajectories of environmental governance in a systematic manner, this paper conducts a quantitative citation network analysis on a comprehensive sample of research papers regarding environmental governance. Consequently, eight major research clusters were identified: Market; Conceptual development; Transparency and information; Scale; Global environment (State); Global environment (Non-state); Participation and democracy; and Collaboration. These categories are partly consistent with the findings of previous reviews; however, several new clusters have been identified. The central papers for each cluster are also identified as major studies to be referred to in the future research. The academic landscape of environmental governance studies uncovered in this study enables the systematic accumulation and integration of fragmented knowledge on environmental governance to improve future studies.

While novel technologies have tremendous competitive potential, they also involve certain risks. Maturity assessment analyzes how well a technological development can fulfill an expected task. The technology readiness level (TRL) has been considered to be one of the most promising approaches for addressing technological maturity. Nonetheless, its assessment requires opinions of the experts, which is costly and implies the risk of personal bias. To fill this gap, this paper presents a Bibliometric Method for Assessing Technological Maturity (BIMATEM). It is a repeatable framework that assesses maturity quantitatively. Our method is based on the assumption that each technology life cycle stage can be matched to technology records contained in scientific literature, patents, and news databases. The scientific papers and patent records of mature technologies display a logistic growth behavior, while news records follow a hype-type behavior. BIMATEM determines the maturity level by curve fitting technology records to these behaviors. To test our approach, BIMATEM was applied to additive manufacturing (AM) technologies. Our results revealed that material extrusion, material jetting, powder bed fusion and vat photopolymerization are the most mature AM technologies with TRL between 6 and 7, followed by directed energy deposition with TRL between 4 and 5, and binder jetting and sheet lamination, the least mature, with TRL between 1 and 2. BIMATEM can be used by competitive technology intelligence professionals, policymakers, and further decision makers whose main interests include assessing the risk of implementing new technologies. Future research can focus on testing the method with regard to altmetrics. Electronic supplementary material The online version of this article (10.1007/s11192-018-2941-1) contains supplementary material, which is available to authorized users.

Under framings of grand challenges, robotics has been proposed as a solution to a wide range of societal issues such as road safety, ageing society, economic productivity and climate change. However, what exactly is robotics research? From its inception, robotics has been an inherently interdisciplinary field, bringing together diverse domains such as engineering, cognitive science, computer science and, more recently, knowledge from social sciences and humanities. Previous research on interdisciplinarity shows that this mode of knowledge production is often driven by societal concerns and political choices. The politics of who gets to make these choices and on what terms is the focus of empirical research in this paper. Using a novel mixed-method approach combining bibliometrics, desk-based analysis and fieldwork, this article builds a narrative of interdisciplinarity at the UK’s largest public robotics lab, the Bristol Robotics Laboratory. This paper argues for the recognition of the plural ways of knowing interdisciplinarity. From citation analysis, through tracing of the emerging fields and disciplines, to, finally, the investigation of researchers’ experiences; each method contributes a distinct and complementary outlook on “what robotics is made of”. While bibliometrics allows visualising prominent disciplines and keywords, document analysis reveals influential and missing stakeholders. Meanwhile, fieldwork explores the logics underpinning robotics and identifies the capabilities necessary to perform the research. In doing so, the paper synthesises plural ways of locating politics in interdisciplinary research and provides recommendations for enabling “structural preparedness for interdisciplinarity”.

Background Heat stroke (HS) is an acute physical disorder that is associated with a high risk of organ dysfunction and even death. HS patients are usually treated symptomatically and conservatively; however, there remains a lack of specific and effective drugs in clinical practice. An analysis of publication contributions from institutions, journals and authors in different countries/regions was used to study research progress and trends regarding HS. Methods We extracted all relevant publications on HS between 1989 and 2019 from Web of Science. Using the Statistical Package for Social Science (SPSS, version 24) and the software GraphPad Prism 8, graphs were generated and statistical analyses were performed, while VOSviewer software was employed to visualize the research trends in HS from the perspectives of co-occurring keywords. Results As of April 14, 2020, we identified 1443 publications with a citation frequency of 5216. The United States accounted for the largest number of publications (36.2%) and the highest number of citations (14,410), as well as the highest H-index at 74. Although the sum of publications from China ranked second, there was a contradiction between the quantity and quality of publications. Furthermore, Medicine & Science in Sports & Exercise published the most papers related to HS, with Lin MT publishing the most papers in this field (112), while the review by Knochel JP received the highest citation frequency at 969. The keyword heat-stress appeared most recently, with an average appearing year of 2015.5. In the clinical research cluster, exertional heat-stroke was determined to be the hotspot, while ambient-temperature and heat waves were the new trends in the epidemiological research cluster. Conclusions Corresponding to this important field, while the contributions of the publications from the United States were significant, the mismatch between the quantity and quality of publications from China must be examined. Moreover, it is hypothesized that clinical and epidemiological studies may become hotspots in the near future.

Industrial parks, which are characterized as a group of industrial businesses designed to meet the concomitant demands of different organizations within an area, have played an important role in the national development strategies of many countries. Industrial parks have received increasingly more attention over time. Nevertheless, few scholars have visually analyzed global scientific data. This paper quantitatively and visually examines global academic research papers on industrial parks from 1987 to 2016 by using a bibliometric analysis. A total of 1823 papers from Science Citation Index Expanded and Social Sciences Citation Index databases were analyzed. The distributions of authorship, keywords, countries/territories, and institutes were generated. According to data from Science Citation Index Expanded and Social Sciences Citation Index databases, the top five most productive authors (i.e., Geng Y. with 22 articles, Fujita T. with 17, El-Halwagi M.M. with 15, Zhang Y. with 14, and Tan R.R. with 12) have contributed significantly to industrial park research. Papers on industrial park research have mainly been from China, the USA, and Taiwan. The dominant keywords from industrial park research from 1987 to 2016 are "China", "system", "heavy metal", and "eco-industrial park". These keywords will be the hot topics in industrial park research in the future. The research findings can provide a reference for understanding the research development process and trends in analyses in the field of industrial parks.

The field of innovation studies has grown considerably in the last four decades, which has led to the emergence of new approaches and theoretical aspects that need to be examined and considered. Therefore, this paper aims to understand what are the main theoretical pillars that support the structure of innovation theories and fields, how it evolved over the years and what are the directions that lead to future trends in innovation research. The procedure consists in a mix-methods using the citation and co-citation analysis associated with bibliometric methods, Social Network Analysis, and a systematic review of the literature. The results were validated by Delphi with academic specialists in innovation. Considering publications between 1956 and 2016 divided into four 15-years timespan, the longitudinal analysis results indicate the evolution of the main streams of thoughts that support the current innovation research fields and depict a research orientation for future works that can be developed to generate relevant contributions for the theoretical development of the area. This paper differentiates itself bringing results based on a large database, by the research methods employed, and by the perspective adopted provides solid contributions to the understanding of the past, present, and future of the scientific research in innovation to business administration field.

Citation count is an important indicator for measuring research outputs. There have been numerous studies that have investigated factors affecting citation counts from the perspectives of cited papers and citing papers. In this paper, we focused specifically on citing papers and explored citations sourced from prestigious affiliations in the computer science discipline. The QS World University Rankings was employed to identify prestigious citations, named QS citations. We used the Microsoft Academic Graph, a massive scholarly dataset, and conducted different kinds of analysis between papers with QS citations and those without QS citations. We discovered that papers with QS citations are generally associated with higher total citation counts than those without QS citations. We extended the analysis to authors and journals, and the results indicated that when authors or journals have higher proportions of papers with QS citations, they are usually associated with higher values of the H-index or the Journal Impact Factor respectively. Additionally, papers with QS citations are also associated with a higher Altmetric Attention Score and a higher number of specific types of altmetrics such as tweet counts. NRF (Natl Research Foundation, S’pore) Accepted version

The substantial acknowledgement of university–industry (U–I) collaborations as promotor of economic progress, innovativeness and competitiveness fostered a continuous research engagement. At the same time, the U–I literature experienced a notable increase in the past decade, transforming into a multi-faceted and ambiguous research field, characterised by highly complex interlinks. The recent transformation hinders a comprehensive understanding of the latest developments in research directions and their clear delineation. Therefore, the purpose of this bibliometric literature review is to examine the evolution of the field and identify the primary emerging patterns. This paper employs co-citation analysis and bibliographic coupling techniques to analyse the U–I publications dataset. The findings indicate that the U–I collaborations research can be systematically clustered, resulting in an interconnected ecosystem consisting of three levels: individual, organisational and institutional, respectively. Thus, this review presents the immense contribution that the analysis of U–I collaborations makes to various research streams. Building on these findings and employing qualitative content analysis on the clustered publications, the paper develops a research agenda that encourages future investigations of previously overlooked features of U–I collaborations in general, and their role across levels of analysis, contexts and stages of the collaboration process in particular.

This is the first detailed study on the coverage of Microsoft Academic (MA). Based on the complete and verified publication list of a university, the coverage of MA was assessed and compared with two benchmark databases, Scopus and Web of Science (WoS), on the level of individual publications. Citation counts were analyzed, and issues related to data retrieval and data quality were examined. A Perl script was written to retrieve metadata from MA based on publication titles. The script is freely available on GitHub. We find that MA covers journal articles, working papers, and conference items to a substantial extent and indexes more document types than the benchmark databases (e.g., working papers, dissertations). MA clearly surpasses Scopus and WoS in covering book-related document types and conference items but falls slightly behind Scopus in journal articles. The coverage of MA is favorable for evaluative bibliometrics in most research fields, including economics/business, computer/information sciences, and mathematics. However, MA shows biases similar to Scopus and WoS with regard to the coverage of the humanities, non-English publications, and open-access publications. Rank correlations of citation counts are high between MA and the benchmark databases. We find that the publication year is correct for 89.5% of all publications and the number of authors is correct for 95.1% of the journal articles. Given the fast and ongoing development of MA, we conclude that MA is on the verge of becoming a bibliometric superpower. However, comprehensive studies on the quality of MA metadata are still lacking.

Built upon a thirty-year dataset collected from the Web of Science database, the present research aims to offer a comprehensive overview of papers, authors, streams of research, and the most influential journals that discuss product and process innovation in the manufacturing environment. The dataset is composed of 418 papers from more than 150 journals from the period between 1985 and 2015. Homogeneity analysis by means of alternating least squares (HOMALS) and Social Network Analysis (SNA) are used to accomplish the objectives listed above through the keywords given by authors. Initially, the paper highlights and discusses the similarity between the topics debated by the main journals in this field. Subsequently, a wide-range map of topics is presented highlighting five main areas of interests; namely, performance, patent, small firm, product development, and organization. A SNA is also performed in order to validate the results that emerged from HOMALS. Finally, several insights about future research avenues in the manufacturing field are provided.

© 2016, Akadémiai Kiadó, Budapest, Hungary. The present study sought to examine the trend and impact of international collaboration in scientific research in Vietnam during the period after the introduction of the a reform policy and the normalization of relations with the United States. Using the Thomson Reuters’ Web of Science data (2001–2015) we found that 77% of Vietnam’s scientific output (n = 18,044 papers) involved international collaborations, with the United States and Japan researchers being the most frequent partners. The proportion of international collaborations has decreased slightly over time at the expense of an increased rate of domestic collaborations. The rate of growth in Vietnam’s scientific output was 17% per annum, and three-quarters of the growth was associated with international collaborations rather than purely domestic production. Moreover, internationally coauthored papers received twice the average citation as domestic papers. Of note, papers with overseas corresponding author had higher citation rate than papers with domestic corresponding author. These data suggest that the vast majority of scientific papers from Vietnam was attributable to international collaboration, and this had a positive impact on the quality and visibility of Vietnam science. The data also indicate that Vietnam is in the growth phase of building up research capacity.