GitScholar: A Dataset for Predicting AI Research Impact from GitHub Engagement

arXiv:2609.26361 · cs.DL, cs.AI, cs.LG, cs.SI · Submitted 2026-09-22 · Read on arXiv

cs.DL, cs.AI, cs.LG, cs.SI

Submitted: 2026-09-22

Updated: 2026-09-22

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Adam — 1× in this paper · explained in 2 episodes
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Open Archive Initiative — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes

Sources

• Citation Count Analysis for Papers with Preprints
• TweetPap: A Dataset to Study the Social Media Discourse of Scientific Papers
• The Semantic Scholar Open Data Platform
• S2AND: A Benchmark and Evaluation System for Author Name Disambiguation
• The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error

Related papers

• MTRACE: Multilingual Retrieval-Augmented Generation for Temporally Diverse Text Corpora
• Eleven Years of BRACIS: A Meta-Scientific Study of the Brazilian Conference on Intelligent Systems
• Evidence-Based Scientific Question Discovery: A Framework with Historical Backtesting