Open Access

Trends in Academic Productivity in Biosystems Engineering: A Bibliometric Analysis

1 Bursa Uludağ Üniversitesi, Ziraat Fakültesi, Biyosistem Mühendisliği Bölümü, Bursa

Abstract

This study presents a bibliometric analysis of academic publications by faculty members of a Biosystems Engineering Department at a public university in Türkiye, published on the DergiPark platform between 2015 and 2023. The aim is to quantitatively reveal the department’s scientific productivity trends, collaboration networks, and research focuses. A total of 221 publications were examined. Using Python-based analysis, the study assessed variables such as publication type, language, annual distribution, preferred journals, author productivity, co-authorship networks, and keyword frequencies. The findings show that academic productivity peaked in 2019, declined in 2020 due to the COVID-19 pandemic, and recovered in subsequent years. Research articles constitute the majority of publications, with Turkish as the dominant publication language. The most frequently chosen journals are national and thematically aligned with the department's research areas. Author productivity and collaboration network analyses indicate that certain faculty members play a central role in academic output. Keyword analysis reveals a strong focus on topics such as irrigation, agricultural productivity, and climate change. The results offer a comprehensive overview of the department’s academic profile, highlighting both its strengths and areas for development. This data-driven insight provides valuable guidance for shaping future research and publication strategies.

Keywords

How to Cite

KİRMİKİL, M. (2025). Trends in Academic Productivity in Biosystems Engineering: A Bibliometric Analysis. ISPEC Journal of Agricultural Sciences, 9(4), 960–972. https://doi.org/10.5281/zenodo.17183971

References

📄 Alocilja, E.C., 2000. Principles of Biosystems Engineering. Courier Custom Publishing. East Lansing.
📄 Aria, M., Cuccurullo, C., 2017. Bibliometrix: an r-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4): 959–975.
📄 Ayuga, F., 2015. Present and future of the numerical methods in buildings and infrastructures areas of biosystems engineering. Journal of Agricultural Engineering, 46(1): 1-12.
📄 Bornmann, L., 2020. Bibliometrics-based decision trees (bbdts) based on bibliometrics-based heuristics (bbhs): Visualized guidelines for the use of bibliometrics in research evaluation. Quantitative Science Studies, 1(1): 171–182.
📄 Briassoulis, D., Gallego, E., Pantaleo, A.M., Holden, N.M., Owende, P., Ting, K.C., Mallikarjunan, K., 2014. The “THREADS” of biosystems engineering. Transactions of the ASABE, 57(1): 307-330.