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This research aims to enlighten current and future research trends on political connections by providing complete bibliometric mapping through network studies on political connections. Utilizing Biblioshiny, the Bibliometrics R package, multi-perspective research publications on political connections from 2003 to the third quarter of 2023 were discovered and analyzed. This bibliometric analysis provides valuable insights regarding current and future publications on political connections. The most prolific contributors, the most used keywords, the most productive countries and sources, the most cited publications, and the most productive sources of information are network analysis data about co-occurrence networks. The discourse revolves around issue mapping data on political connection studies. The search method used to find related literature is the Scopus database. This research contributes valuable information to help other researchers map ongoing and future investigations into political connections. This bibliometric analysis of 294 documents is the first regarding political connections known to researchers. This evaluation emphasizes annual publication trends, authors, publications, countries, organizations, and most productive sources, determining potential future research objectives. The research on political connections was published in early 2003. No papers were released on this subject for 3 years after 2003 (2003–2005), which shows that the growth of this academic field slowed down for ten years. There were significant changes in 2011, and many more linked papers have been released. Authors from the USA and China significantly contributed to the initial scientific journal papers on their political connections. Hong Kong, China, and Australia are recognized as leading nations in scholarly contributions to studying political connections. Chinese scholars spearheaded the collaborative publication effort focused on political connections, with the USA and Australian experts following suit. Based on indexed terms, political connections, sustainable development, and financial performance are trending keywords. These results show possible directions for further research into political connections. [ABSTRACT FROM AUTHOR]

This study explores current research trends in environmental studies, emphasizing the importance of addressing climate change through effective strategies and highlighting the crucial role of circular economy principles and resource management in achieving sustainability goals. It aims to investigate emerging patterns and analyze the altmetric impact of published research in the field of environment and pollution. Environmental Science and Pollution Research (ESPR), a research journal published by Springer since January 1994, serves as a cornerstone for scholarly discourse in this field. The first volume of ESPR was released in January 1994, and since then, all of the information has been indexed by significant databases like OCLC WorldCat Discovery Service, SCOPUS, and DIMENSIONS, amongst others. ESPR is one of the leading journals with a five-year impact factor of 5.4 and 1.01 SJR Q1 quartile as of 2023, with an h-index of 179. The journal has published influential articles that garnered high altmetric scores, indicating online attention and engagement, although there is a notable disparity between altmetric scores and total citations. Most of the highly cited articles cover various topics, including eutrophication, electrochemical advanced oxidation processes, insecticides, and phytoremediation. Most publications fall under environmental sciences, followed by pollution and contamination. Chinese institutions have substantially contributed to the journal, indicating a strong emphasis on environmental and pollution research in China. Our findings reveal significant growth in publication output and citation rates, alongside a notable disparity between traditional citation metrics and altmetrics, underscoring the need for comprehensive impact assessment methodologies. [ABSTRACT FROM AUTHOR]

This paper presents a comprehensive bibliometric analysis of Multi-Attributive Border Approximation Area Comparison (MABAC) method using the Biblioshiny application of the bibliometrix package, R program and VOSviewer tools to provide a holistic view of the research landscape by identifying its evolution, major contributors and most influential research areas. The study, analyzing 264 articles from the Scopus database (January 2015 to September 2023), reveals China as the leading contributor, with India spearheading international collaboration. The most impactful publication, "The selection of transport and handling resources in logistics centres using MABAC," by Pamučar and Ćirović [2], boasts 537 citations. Notably, the "University of Defence in Belgrade" is a prominent institution in this domain. "Pamučar D" emerges as the most cited author. Key terms include "MABAC," "MABAC method," and "MCDM," commonly associated with MABAC method. The top three cited journals are "Expert Systems with Applications," "Decision Making: Applications in Management And Engineering," and "Symmetry." The study provides valuable insights for researchers, practitioners, and decisionmakers interested in MABAC's applications and future developments in MCDM, contributing to ongoing discussions about its relevance. [ABSTRACT FROM AUTHOR]

• Study analyzes 1374 papers on sensitivity analysis in Scopus. • RStudio, CiteSpace, and VOSviewer are used. • China has most articles published; India leads in international cooperation. • Top three cited journals: J. Clean. Prod., Expert Syst. Appl., and Comput. Ind. Eng. • Most cited authors are Pamučar D, Kahraman C, and Zavadskas EK. In the present era, the implementation of scientifically grounded Multi-Criteria Decision Making (MCDM) has emerged as a pivotal solution to diverse decision-making challenges across various domains. Although a substantial body of exploratory, conceptual, and experimental studies exists, only 9.457% studies have incorporated sensitivity analyses to assess the robustness of MCDM methods. An exhaustive scientific exploration of sensitivity analysis within the scope of MCDM is thus lacking. This research aims to address this gap through Bibliometric Analysis while examining 1374 articles published between January 2000 and March 2023 from the Scopus database. Using RStudio (Biblioshiny), CiteSpace, and VOSviewer software, the study constructs a visual representation of the most prolific countries, institutions, and authors. Impressively, China takes the lead in article publications, while India excels in international collaboration. "An extended TODIM multi-criteria group decision-making method for green supplier selection in an interval type-2 fuzzy environment," featured in the Journal of Environmental Management, emerges as the most cited paper with a total citation of 455. The study also identifies the top three most cited journals, namely "Journal of Cleaner Production," "Expert Systems With Applications," and "Computers and Industrial Engineering." "North China Electric Power University" is the leading institute with the highest research outputs. "Pamučar D" is the most cited author, with 2594 citations and 39 articles, followed by "Kahraman C" and "Zavadskas EK. This study sheds light on trends in scientific developments and collaborations, providing a model for the application of sensitivity analysis in MCDM research and highlighting global trends. An understanding of the current state of sensitivity analysis research can assist researchers working in the entire domain of MCDM. Additionally, the visualization provides prescriptive data for future work and applications related to sensitivity analysis. [ABSTRACT FROM AUTHOR]