Mapping the landscape of APSIM-driven agricultural research: a bibliometric analysis and future perspectives
Sarkar, S., Dey, S., Dhar, A. et al. Mapping the landscape of APSIM-driven agricultural research: a bibliometric analysis and future perspectives. Int J Biometeorol (2025). https://doi.org/10.1007/s00484-025-02914-7
CONTEXT
Over the past few decades, APSIM has become instrumental in research areas such as crop modelling, climate risk assessment, and sustainable agriculture. Given its widespread application, there is a need to understand the research trends, collaborations, and emerging themes associated with APSIM-driven studies
OBJECTIVE
The main objective of the paper is to conduct a bibliometric analysis of APSIM-related research publications from 1989 to 2023 (1273 publications). The study aims to identify research trends, collaborative networks, and emerging issues in APSIM-driven agricultural research.
METHODS
- Data Collection: The authors collected data on APSIM-related publications from various databases.
- Bibliometric Analysis: They used bibliometric tools to analyse the growth of publications, key research themes, and collaboration patterns among authors, institutions, and countries.
RESULTS AND CONCLUSIONS
- Publication Growth: There has been exponential growth in APSIM-related research, with 1273 documents published across 118 journals.
- Research Trends: Key emerging issues include climate change adaptation, precision agriculture, and advancements in crop modelling.
- Collaborative Networks: The analysis identified significant contributions and collaborations among authors, institutions, and countries, with Australia leading in APSIM-related research.
- Future Directions: The study highlights the need for expanding research to non-cereal crops and enhancing capabilities of APSIM for greenhouse gas simulations and micronutrient dynamics.
SIGNIFICANCE
The paper underscores the global impact of APSIM as a leading tool for agricultural simulation and decision-making. It provides valuable insights into the research landscape and future directions for APSIM-driven studies, emphasizing its importance in addressing climate change and advancing agricultural practices.