mlsanityData to 14 Oct 2026

Publication Trends in Artificial Intelligence Conferences: The Rise of Super Prolific Authors

arXiv 2412.07793 ↗First posted 28 Nov 2024cs.DL cs.AIcited by 7

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Abstract (arXiv)

Papers published in top conferences contribute influential discoveries that are reshaping the landscape of modern Artificial Intelligence (AI). We analyzed 87,137 papers from 11 AI conferences to examine publication trends over the past decade. Our findings reveal a consistent increase in both the number of papers and authors, reflecting the growing interest in AI research. We also observed a rise in prolific researchers who publish dozens of papers at the same conference each year. In light of this analysis, the AI research community should consider revisiting authorship policies, addressing equity concerns, and evaluating the workload of junior researchers to foster a more sustainable and inclusive research environment.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 4 of its 20 references that are in the map. First posted on arXiv 28 Nov 2024.

Builds on

4 of 20 references.

References · 4

  1. 2017Attention Is All You Needcited by 60,361
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,361
  4. 2014Sequence to Sequence Learning with Neural Networkscited by 2,986

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 5.

7 papers.