Search

5G (5th Generation) and the related technologies implementation are expected in 2020. The 5G is considered to be a breakthrough of IoT devices in terms of enhanced bandwidth, efficiency, reliability and energy consumption. This study focuses on quantitative and qualitative progression of research in the field of 5G. It also provides the publishing trend, most productive and cited countries, organizations, and authors on 5G. In addition, it identifies the most frequently used keywords, authorship pattern and preferred journals. The research is based on 5G related research from Scopus database, which includes all relevant keywords of the field limiting it to conference papers, articles, book chapters, editorial and books. The outcome of the study revealed that 5G related research is on the rise worldwide. The number of yearly published articles has increased from one to 2222 during the period between 2003 and 2020. China, United States and United-Kingdom are most productive countries. Beijing University of Posts and Telecommunications have taken lead in publishing 5G research. Furthermore, it is noteworthy that 19 out of these 20 most productive organizations in the world, seven belong to China. Majority of top 10 preferred journals are Q1 and published by IEEE (Institute of Electrical and Electronics Engineers). The most popular authorship pattern is three-authors. In subcategories of wireless networks, 5G communication gets a lot of attention. [ABSTRACT FROM AUTHOR]

This study aims to analyse the work done in the field of Night Vision Robots using IR and Object Detection from 2011 to 2021, using the bibliometric methods. This paper presents a Scopus database review on "Night Vision Bot using Dynamic IR and Object Detection". The necessity for doing this bibliometric survey is that to know how the technology in the field of mobile robotics and night vision, as well as to object detection, has evolved over the years. This paper shows the importance of Night Vision Robot from the year 2011 and continued up to 2021 April. The database analysis for the robot is done through Scopus and VOSviewer Version 1.6.16. Through this database survey, it is revealed that the maximum number of publications are Conference Paper and most of them are from the field of Engineering and Computer Science, India has the greatest number of publications followed by China. Methods: The Scopus database was used to obtain the articles for the above topic. The research papers were considered from the year 2011 to 2021. The Scopus analyzer can be used for the analysis of the database with different categories like Source, Subject Area, Country, etc. The analysis such as co-authorship, co-occurrences, citation analysis etc. is done by using VOSviewer Version 1.6.16. Results: In the study, a total of 69 articles on Night Vision Robot were obtained between the years 2011 and 2021. The statistical analysis and network analysis shows that the maximum number of papers were published in the year 2020. India is the highest contributor followed by China and Australia. Conclusion: The outcome of the Scopus database is 69 articles with the English Language having the largest number of articles. The Statistic Analysis helps to understand the potential of topic. It is done for Authors, Documents, Country, affiliations, funding sponsors. The Network Analysis indicates the interconnections between different parameters such as Coauthor, sources. It indicates that this is a new concept, and the research has been done mostly in the last year, so there is lot of future potential and scope for development. [ABSTRACT FROM AUTHOR]

Background: This study aims to analyze the work done in domain of cloud computing and edge computing using artificial intelligence from 2015 to 2021. Recent research shows the bibliometric methods are useful for such kind of analysis. Thus in this paper analysis is carried out using the bibliometric methods. Methods: different articles on edge computing and edge intelligence were retrieved using one of the most popular database-Scopus. The research articles are considered between 2015 to 2021. Scopus analyzer is used for getting some analysis results such as documents by year, source, country and so on. VOSviewer Version 1.6.16 is used for the analysis of different units such as co-authorship, co-occurrences, citation analysis etc. Results: In our study, a database search outputs a total of 204 articles on edge intelligence from 2015 to 2021. Statistical analysis and network analysis shows the maximum articles are published in the years 2019 and 2020 with China contributed the largest number of documents. Network analysis of different parameters shows a good potential of the topic in terms of research. Conclusions: Scopus keyword search outcome has 204 articles with English language having the largest number. Authors, documents, country, affiliation etc are statically analyzed and indicates the potential of the topic. Network analysis of different parameters indicates that, there is a lot of scope to contribute in the further research in terms of advanced algorithms of artificial Intelligence. [ABSTRACT FROM AUTHOR]

The novel coronavirus disease 2019 (COVID-19) has affected almost all the countries globally, and it is considered a global pandemic. Hence, this study conducted a bibliometric analysis of scientific output on the COVID-19 pandemic outbreak using the Web of Science (WoS) database. A specific search technique was developed based on Corona virus-related keywords from January 1, 2019, until June 24, 2020. A total of 10850 documents related to COVID-19 published from January 1, 2019, to June 24, 2020, were retrieved from the WoS database. The researchers downloaded the data from WoS as a WoS plain text file, and the data were analyzed using R studio (biblioshiny) software. Out of the total of 10850 documents published in 1736 scientific journals, 10845 papers belonging to the year 2020, which constituents 99.954% of the total documents (N=10850). Wang Y is the most productive author who contributed 0.60% (n=65) of the total documents published. USA is the predominant country that produced 2701 documents related to COVID-19, and China follows it with 1937 documents. The most active collaboration held between the USA and China, and it accounted for 2.75% (n=298) of the entire documents (N=10850). [ABSTRACT FROM AUTHOR]

BioScience Trends (BST) is a peer-reviewed journal belongs to the International Research and Cooperation Association for Bio & Socio-Sciences Advancement (IRCA-BSSA) Group of Japan. Despite a decade of existence, no study was performed to measure the bibliometric profile of the journal. The objective of this study was to investigate the bibliometric characteristic of BST. A bibliometric analysis will specifically measure: 1) growth rate of the scientific publications, 2) dynamics of authorship and collaboration pattern; 3) core research themes of articles that have been published, and 4) citation pattern of BST. Bibliographical archives of BST were obtained from the Core Collection database of the Web of Science (WoS). We divided the dataset into three interval periods, 2007-2010, 2011-2014 and 2015-2017 respectively. Data processing and analysis was performed using Bibliometrix, a bibliometric analysis package in R software, VOSViewer 1.66, Orange 3.15 and CitNetExplorer. Within one decade of scientific production, BST continues to attract global researchers in life sciences. However, it is still dominated by authors from China and Japan. Annual journal growth of BST is 12.83 %. Reaching the end of the first decade, number of first author and the country origin multiplied, 20 and 5 times respectively, compared to the first-year. Research themes are consistent with the Aims and Scope of the Journal with strong emphasizes on molecular biology, biochemistry, and clinical research. Entering the second decade, strategies to promote and enlarge authors participation from countries that are not in the current list are encouraged. [ABSTRACT FROM AUTHOR]

Objective Bibliometric analysis is one of the profound instruments to measure the research output quantitatively based on geometrical and statistical evaluation. The objective of the current study is to provide structural overview of the voluminous research work done so far via bibliometric analysis to access the significance of this tool in academic research. Methods A bibliometric analysis is performed by extracting 842 documents from Scopus database in CSV form from 2000 till April 5, 2021. The retrieved data analyzed via Vos viewer reveals about the significantly contributing authors, countries, author keywords, cited references, total link strength, and co-occurrence of author keywords using bibliographic coupling and co-citation analysis. Results In year 2009, publication of bibliometric articles reached its apex with a publication count of 34 articles. China has published maximum number of bibliometric documents (37.76%) and has produced 114 collaborative documents with 38 countries with a citation count of 2018. Recent bibliometric articles included keywords such as Vos viewer, Covid 19, Co-authorship, and Co-occurrence analysis. Conclusion Data presented in the study can be useful for comparing the use of bibliometric analysis in diverse subject areas and also focusses on the subject areas that are not yet explored through bibliometric analysis. [ABSTRACT FROM AUTHOR]

Taking China National Knowledge Infrastructure (CNKI) as the source of literature, this study made a bibliometric analysis on the trend of quantity of published literature, keywords of published literature, authors of published literature, institutions of published literature and publications of published literature above five aspects on the professional competency skills of library professionals in Mainland China from 2009 to 2019, and explained the development trend of the relevant research from a scientific point of view to provide a reference for the future construction of professional competency skills required for library professionals in Mainland China. [ABSTRACT FROM AUTHOR]

Purpose: The present study reflects the trend and growth of publications on COVID-19 viral disease spreading around the world. With the emergence of COVID-19 in Wuhan, China in December 2019, scholars started publishing their researches in form of different kind of publications. Methodology: The data has been extracted from the Scopus database using key TERMS Covid-19 and corona virus 2019. Findings: During six month period around ten thousand publications are contributed by scientists around the globe. The literature produced in different fields but highest output is made in the field of Medicine. BMJ and Journal of Medical Virology journals produced highest amount of research on COVID. Highest numbers of publications have been contributed by China based two institutions viz. Huazhong University of Science and Technology and Tongji Medical College, China. Mahase, E. of UK contributed maximum papers followed by Wiwanitkit, V. of China. [ABSTRACT FROM AUTHOR]