A Scientometric Mapping of Global Research Productivity and Network Analysis in Animal Husbandry and Veterinary Science
DOI:
https://doi.org/10.48165/ijapm.2026.42.1.5Keywords:
Animal Husbandry, Publication Growth, Veterinary, Scientometrics, Network Analysis, Authorship PatternAbstract
This study examines the discipline of veterinary science including animal husbandry and veterinary medicine by investigating the research articles, conference proceedings, and book chapters published in Scopus in 2006- 25. The data had been obtained based on 4609 publications searched on the Scopus database. The primary conclusions made are that there is a steady growth of animal husbandry and veterinary medicine research, and the value of this area is growing. There are a variety of researchers who are playing a prominent role in animal husbandry and veterinary medicine research. According to co-authorship analysis, there has been high collaboration throughout the world, with the major contributions of such researchers as Lee, J., Wang, Y., and Wang, J., and the most prominent research centers in USA, UK, and China. Thematically significant issues like cattle, animal welfare, and risk factors were found through the use of keywords as cooccurring keywords. The changing clusters in animal keeping and veterinary science are an indication of new fields that need to be investigated. Future research must center on machine learning and advances in technology and their effects on the animal husbandry and veterinary sector, and establish new methods to deal with the growing challenges in the various environments.
References
Aria M, Cuccurullo C. Bibliometrix: An R-tool for comprehensive science mapping analysis. J Informetr. 2017;11(4):959-975.
Glänzel W, Schubert A. Analysing scientific networks through co-authorship. In: Moed HF, Glänzel W, Schmoch U, editors. Handbook of quantitative science and technology research. Dordrecht: Springer; 2004. p. 257-276.
Gupta D. Shifting authorship patterns in Indian scientific journals: A study of veterinary and animal sciences. J Libr Inf Sci. 2022;31(2):45-58.
Kumar M, Soni R, Prasad S. International collaboration trends in animal science journals: A bibliometric perspective. J Appl Anim Res. 2022;50(3):200-215.
Kumar R. Analyzing research collaboration in Indian veterinary science. J Sci Technol Policy. 2023;27(1):88-103.
Moed HF. Citation analysis in research evaluation. Dordrecht: Springer; 2005.
Pachauri S, Dwivedi S. Publication analysis, authorship pattern, and collaboration trends in International Research Journal of Multidisciplinary Scope: A bibliometric study. In: International Conference on Smart Systems and Social Management (ICSSSM-2 2025). Paris: Atlantis Press; 2026. p. 1149-1161.
Pachauri S, Singh DV. Trends in publication, authorship pattern and collaboration networks in Indian Journal of Animal Sciences: A bibliometric study (2010–2024). Indian J Anim Prod Manag. 2025;41(2):13-16.
Pacheco-Mendoza J, et al. Scientometric mapping of trends, impact and thematic evolution of scientific production on ehrlichiosis in veterinary medicine. Vet World. 2024;17(9):2159-2165.
Price DJ de Solla. Little science, big science. New York: Columbia University Press; 1963.
Singh P. Mapping research output in veterinary science: A bibliometric study. Asian J Sci Res. 2020;13(4):89-102.
Tripathi HK, Garg KC. Scientometrics of cereal crop science research in India as seen through Scopus database during 1965–2010. Ann Libr Inf Stud. 2016;63(3):222-231.
Vaitsi GA, Bourganou MV, Lianou DT, Kiouvrekis Y, Michael CC, Gougoulis DA, et al. Scientometric analysis: An emerging tool in veterinary and animal scientific research. Animals (Basel). 2024;14(21):3132.
Van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010;84(2):523-538.
Van Raan AFJ. The influence of international collaboration on the impact of research results. Scientometrics. 2000;42(3):423-440.
Vazquez JPG, Torres RS, Perez Perez DB. Scientometric analysis of the application of artificial intelligence in agriculture. J Scientometr Res. 2021;10(1):55-62.
Verma S. Collaborative research and productivity in Indian veterinary journals. J Vet Res. 2023;14(3):243-257.
Wang Q, Waltman L, Van Eck NJ. Large-scale analysis of scientific collaboration patterns using bibliometric networks. J Informetr. 2021;15(1):101121.
Wang X, Xu S, Wang Z, Peng L. International scientific collaboration of China: collaborating countries, institutions and individuals. Scientometrics. 2013;95(2):885-894.
