What Have We Learned from OpenReview?
Not on the map. Why?
Abstract (arXiv)
Anonymous peer review is used by the great majority of computer science conferences. OpenReview is such a platform that aims to promote openness in peer review process. The paper, (meta) reviews, rebuttals, and final decisions are all released to public. We collect 5,527 submissions and their 16,853 reviews from the OpenReview platform. We also collect these submissions' citation data from Google Scholar and their non-peer-reviewed versions from arXiv.org. By acquiring deep insights into these data, we have several interesting findings that could help understand the effectiveness of the public-accessible double-blind peer review process. Our results can potentially help writing a paper, reviewing it, and deciding on its acceptance.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Mar 2021.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 4; 2026: 1.
7 papers.
- 2025REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learningcited by 9
- 2025Insights from the ICLR Peer Review and Rebuttal Processcited by 8
- 2023The Open Review-Based (ORB) dataset: Towards Automatic Assessment of Scientific Papers and Experiment Proposals in High-Energy Physicscited by 4
- 2024Cultural Bias in Explainable AI Research: A Systematic Analysiscited by 3
- 2025Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Processcited by 2
- 2025The Role of Computing Resources in Publishing Foundation Model Researchcited by 1
- 2026Beyond Final Decisions: A Process-Centric Benchmark for Transparent AI-Assisted Peer Reviewcited by 0
- 2026Beyond Final Decisions: A Process-Centric Benchmark for Transparent AI-Assisted Peer Review5 Sep 2026
- 2025Insights from the ICLR Peer Review and Rebuttal Process19 Nov 2025
- 2025The Role of Computing Resources in Publishing Foundation Model Research15 Oct 2025
- 2025REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning16 May 2025
- 2025Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Process2 Feb 2025
- 2024Cultural Bias in Explainable AI Research: A Systematic Analysis28 Feb 2024
- 2023The Open Review-Based (ORB) dataset: Towards Automatic Assessment of Scientific Papers and Experiment Proposals in High-Energy Physics29 Nov 2023