AI research papers face citation inflation problem

A growing concern in academia is the surge in citations for AI research papers, which can inflate their perceived impact. Scientists are finding their work cited excessively, sometimes hundreds of times in a short period, distorting citation metrics. This phenomenon is making it difficult to accurately assess the true influence and importance of research. The issue highlights a potential flaw in how academic contributions are measured, particularly as AI tools become more prevalent in generating and analyzing scientific literature. Researchers are now grappling with how to address this citation inflation to maintain the integrity of scientific evaluation.