Mapping Research Productivity of BRICS Countries with Special Reference to Coronary Artery Disease (CAD): A Scientometric Study
- URL: http://arxiv.org/abs/2511.05211v1
- Date: Fri, 07 Nov 2025 12:59:36 GMT
- Title: Mapping Research Productivity of BRICS Countries with Special Reference to Coronary Artery Disease (CAD): A Scientometric Study
- Authors: Muneer Ahmad,
- Abstract summary: This study presents a comprehensive scientometric analysis of research productivity on Coronary Artery Disease (CAD) among the BRICS countries, Brazil, Russia, India, China, and South Africa.<n>A total of 50,036 records were analyzed to assess publication growth trends, authorship patterns, collaboration levels, and citation impact.<n>The findings reveal a steady increase in CAD-related publications, with China emerging as the leading contributor, followed by Brazil, Russia, India, and South Africa.
- Score: 0.3655021726150367
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: This study presents a comprehensive scientometric analysis of research productivity on Coronary Artery Disease (CAD) among the BRICS countries, Brazil, Russia, India, China, and South Africa, using data retrieved from the Web of Science database for the period 1990 to 2019. A total of 50,036 records were analyzed to assess publication growth trends, authorship patterns, collaboration levels, and citation impact. The findings reveal a steady increase in CAD-related publications, with China emerging as the leading contributor, followed by Brazil, Russia, India, and South Africa. English dominated as the primary language of communication, accounting for over 93% of publications. Authorship and collaboration analysis indicate a high degree of joint research, with 97.91% of studies being co-authored and a degree of collaboration of 0.98, underscoring the collective nature of scientific inquiry in this domain. The study validates the applicability of Lotkas Law for author productivity, Bradfords Law for journal distribution, and Zipfs Law for keyword frequency, while the Price Square Root Law was found inapplicable. The predominant publication format was journal articles (79.7%), and Kardiologiya (Russia) emerged as the most prolific journal. The results demonstrate significant growth in CAD research output and collaboration within BRICS, though notable disparities persist among member nations. The study recommends enhancing individual author productivity, expanding international collaboration, and supporting CAD research through strategic institutional and governmental initiatives. These findings provide valuable insights for policymakers, funding agencies, and the academic community to strengthen cardiovascular research capacity within developing economies.
Related papers
- Mapping a Decade of Avian Influenza Research (2014-2023): A Scientometric Analysis from Web of Science [0.22166578153935787]
This study analyzes Avian Influenza research from 2014 to 2023 using data from the Web of Science database.<n>Results reveal a steady increase in publications, with high contributions from Chinese and American institutions.<n>China and the USA lead in publication volume, though developed nations like the United Kingdom and Germany exhibit a higher rate of international collaboration.
arXiv Detail & Related papers (2026-02-02T06:37:20Z) - Global research trends and collaborations in Fibrodysplasia Ossificans Progressiva: A bibliometric analysis (1989-2023) [0.27528170226206433]
Fibrodysplasia Ossificans Progressiva (FOP) is a rare and debilitating genetic disorder.<n>This scientometric analysis examines the global research trends on FOP between 1989 and 2023 using data from Web of Science.<n>The study highlights key patterns in publication productivity, influential journals, institutions, and the geographical distribution of research.
arXiv Detail & Related papers (2026-01-07T06:17:04Z) - Two Decades of Research at the University of Lagos (2004-2023): A Scientometric Analysis of Productivity, Collaboration, and Impact [0.3093890460224435]
We examine trends in publication volume, collaboration patterns, citation impact, and the most prolific authors, departments, and research domains at the university.<n>The study reveals a consistent increase in research productivity, with the highest publication output recorded in 2023.<n>Health Sciences, Engineering, and Social Sciences are identified as dominant fields, reflecting the university's interdisciplinary research strengths.
arXiv Detail & Related papers (2025-11-06T05:26:17Z) - Russian Contribution to Coronary Artery Disease Research: A Scientometric Mapping of Publications [0.3093890460224435]
This study is based on secondary data extracted from the Science Citation Index (SCI), which is an integral component of the Web of Science.<n>There were 5058 articles by Russian scholars in coronary artery disease during 1990-2019; they preferred to publish in Russian journals.<n>Co-authorship was the norm in coronary artery disease research, with a steady increase in the number of multi-author documents in recent years.
arXiv Detail & Related papers (2025-11-05T06:06:19Z) - Measuring the Research Output and Performance of the University of Ibadan from 2014 to 2023: A Scientometric Analysis [0.3093890460224435]
This study employs scientometric methods to assess the research output and performance of the University of Ibadan from 2014 to 2023.<n>The study focuses on the departments that contribute the most, the best journals for publishing, the nations that collaborate, the impact of citations both locally and globally, well-known authors and their total production, and the research output broken down by year.
arXiv Detail & Related papers (2025-10-29T08:39:36Z) - The Role of Computing Resources in Publishing Foundation Model Research [84.20094600030092]
We evaluate the relationship between these resources and the scientific advancement of foundation models (FM)<n>We reviewed 6517 FM papers published between 2022 to 2024, and surveyed 229 first-authors to the impact of computing resources on scientific output.<n>We find that increased computing is correlated with national funding allocations and citations, but our findings don't observe the strong correlations with research environment.
arXiv Detail & Related papers (2025-10-15T14:50:45Z) - Trajectories and Comparative Analysis of Global Countries Dominating AI Publications, 2000-2025 [0.0]
The US and the European Union (EU27), once the undisputed and established leaders, have experienced a notable decline in relative dominance.<n>China has undergone a dramatic ascent, expanding its global share of AI publications from under 5% in 2000 to nearly 36% by 2025.<n>These empirical findings highlight the strategic implications of concentrated research output.
arXiv Detail & Related papers (2025-09-29T16:35:54Z) - The Impact of International Collaborations with Highly Publishing Countries in Computer Science [15.144785147549713]
This paper analyzes international collaborations in Computer Science, focusing on three major players: China, the European Union, and the United States.<n>We examine collaboration patterns, research impact, retraction rates, and the role of the Development Index in shaping research outcomes.
arXiv Detail & Related papers (2025-05-14T20:15:45Z) - The Nature of NLP: Analyzing Contributions in NLP Papers [77.31665252336157]
We propose a taxonomy of research contributions and introduce NLPContributions, a dataset of nearly $2k$ NLP research paper abstracts.<n>We show that NLP research has taken a winding path -- with the focus on language and human-centric studies being prominent in the 1970s and 80s, tapering off in the 1990s and 2000s, and starting to rise again since the late 2010s.<n>Our dataset and analyses offer a powerful lens for tracing research trends and offer potential for generating informed, data-driven literature surveys.
arXiv Detail & Related papers (2024-09-29T01:29:28Z) - Mapping the Increasing Use of LLMs in Scientific Papers [99.67983375899719]
We conduct the first systematic, large-scale analysis across 950,965 papers published between January 2020 and February 2024 on the arXiv, bioRxiv, and Nature portfolio journals.
Our findings reveal a steady increase in LLM usage, with the largest and fastest growth observed in Computer Science papers.
arXiv Detail & Related papers (2024-04-01T17:45:15Z) - Position: AI/ML Influencers Have a Place in the Academic Process [82.2069685579588]
We investigate the role of social media influencers in enhancing the visibility of machine learning research.
We have compiled a comprehensive dataset of over 8,000 papers, spanning tweets from December 2018 to October 2023.
Our statistical and causal inference analysis reveals a significant increase in citations for papers endorsed by these influencers.
arXiv Detail & Related papers (2024-01-24T20:05:49Z) - Learnings from Frontier Development Lab and SpaceML -- AI Accelerators
for NASA and ESA [57.06643156253045]
Research with AI and ML technologies lives in a variety of settings with often asynchronous goals and timelines.
We perform a case study of the Frontier Development Lab (FDL), an AI accelerator under a public-private partnership from NASA and ESA.
FDL research follows principled practices that are grounded in responsible development, conduct, and dissemination of AI research.
arXiv Detail & Related papers (2020-11-09T21:23:03Z) - Brain Drain and Brain Gain in Russia: Analyzing International Migration
of Researchers by Discipline using Scopus Bibliometric Data 1996-2020 [77.34726150561087]
We analyze all researchers who have published with a Russian affiliation address in Scopus-indexed sources in 1996-2020.
While Russia was a donor country in the late 1990s and early 2000s, it has experienced a relatively balanced circulation of researchers in more recent years.
Overall, researchers emigrating from Russia outnumbered and outperformed researchers immigrating to Russia.
arXiv Detail & Related papers (2020-08-07T12:47:38Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.