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openreview ratings vs citations

project
│   README.md
│   utils.py
│   Data_scrapping_Example.ipynb: data scrapping example
│   Parsing_pre-scrapped_data.ipynb: parsing pre-scrapped_data in repo/data folder
│
└───data
│   │
│   └───ICLR20**
│       │   preprocessed_table.pkl
│       │   google scholar citation info.json
│       │   openreview data.pkl or openreview data.hdf5
  • A simple analysis comparing ICLR openreview official ratings and the number of citations of each accepted paper.
  • This repository contains:
    • openreview review lists, citation data of ICLR accepted papers
    • Data analysis codes & results

citations_vs_ratings_17 citations_vs_ratings_18 citations_vs_ratings_19 citations_vs_ratings_20

TODO

  • Data Analysis

Trouble shooting

  • If you cannot load pickle data files, update python or pandas version to read higher protocol version of pickle file.

Ideas

  • Papers with an average rating of less than 6 may have to be excluded from the analysis because the intention of the Program Chairs is relatively reflected. (rating 6: marginally above the acceptance threshold)
  • Some authors crave a quick response from reviewers.(i.e. https://openreview.net/forum?id=dIVrWHP9_1i ). The response time matters?
  • Quite many papers rejected from ICLR are re-submited and accepted for ICML. What about them?
  • The correlation between and Review ratings and the number of Citations decreased over time. why?
    • hypothesis 1: As the years passed, the number of submitted papers increased, and more reviewers had to participate in the review, reducing the quality of the reviewers.
    • hypothesis 2: As the years passed, the number of submitted papers increased, and the quality of reviews decreased as more reviews were required per reviewer.
    • hypothesis 3: Papers in the 2019 and 2020 have not yet been properly evaluated in terms of citations. More time is needed for the citation distribution to become clear.

Other reference sites

Any idea & Qeustion? please write anything on github issues.

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