GitScholar: A Dataset for Predicting AI Research Impact from GitHub Engagement
Abstract summary
GitScholar connects AI papers, citations and timestamped GitHub activity to study early signals of research impact. The dataset links approximately 444,000 repositories with more than 558,000 AI arXiv papers. Experiments investigate whether repository engagement improves the identification of papers that later attract substantial citation attention, beyond academic information alone. Its temporal structure supports retrospective evaluation using information available at a given date.
Read the source