University Ranking

University ranking aims to objectively assess and order institutions based on various academic quality metrics, primarily to aid recruitment and inform decision-making. Current research focuses on developing robust and transparent ranking models, employing techniques like optimization algorithms, artificial neural networks (including Siamese networks and graph neural networks), and machine learning to analyze complex datasets and account for potential biases. These efforts seek to improve the fairness and accuracy of rankings, ultimately impacting resource allocation, institutional strategies, and the broader perception of academic excellence.