Scientific Communication & EducationbioRxivPreprint
Cracking the code of co-authorship networks geo-temporally using interpretable machine learning
Swapnil Keshari, Zarifeh Heidari Rarani, Akash Kishore, Jishnu Das
The paper analyzes co-authorship networks using interpretable machine learning to identify research trends and patterns in scientific collaboration over time.