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

arXiv: https://arxiv.org/abs/2412.07793 · HTML: https://mlsanity.com/paper/2412.07793/

## 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 (most cited first, 4 of 4)

- [Attention Is All You Need](https://mlsanity.com/paper/1706.03762/) (2017)
- [Language Models are Few-Shot Learners](https://mlsanity.com/paper/2005.14165/) (2020)
- [Semi-Supervised Classification with Graph Convolutional Networks](https://mlsanity.com/paper/1609.02907/) (2016)
- [Sequence to Sequence Learning with Neural Networks](https://mlsanity.com/paper/1409.3215/) (2014)

## Built on by (most cited first, 7 of 7)

- [AutoPR: Let's Automate Your Academic Promotion!](https://mlsanity.com/paper/2510.09558/) (2025)
- [Peerispect: Claim Verification in Scientific Peer Reviews](https://mlsanity.com/paper/2604.17667/) (2026)
- [Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Review](https://mlsanity.com/paper/2607.27209/) (2026)
- [Language Models Should be Used to Surface the Unwritten Code of Science and Society](https://mlsanity.com/paper/2505.18942/) (2025)
- [SciZoom: A Large-scale Benchmark for Hierarchical Scientific Summarization across the LLM Era](https://mlsanity.com/paper/2603.16131/) (2026)
- [AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists](https://mlsanity.com/paper/2605.21481/) (2026)
- [Beyond Imitation: A Framework and Benchmark for LLM-Assisted Peer Review](https://mlsanity.com/paper/2610.11087/) (2026)

## 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.