Is Peer-Reviewing Worth the Effort?
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866915071026790400 |
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| author | Church, Kenneth Chandrasekar, Raman Ortega, John E. Ahmad, Ibrahim Said |
| author_facet | Church, Kenneth Chandrasekar, Raman Ortega, John E. Ahmad, Ibrahim Said |
| contents | How effective is peer-reviewing in identifying important papers? We treat this question as a forecasting task. Can we predict which papers will be highly cited in the future based on venue and "early returns" (citations soon after publication)? We show early returns are more predictive than venue. Finally, we end with constructive suggestions to address scaling challenges: (a) too many submissions and (b) too few qualified reviewers. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_14351 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Is Peer-Reviewing Worth the Effort? Church, Kenneth Chandrasekar, Raman Ortega, John E. Ahmad, Ibrahim Said Computation and Language Artificial Intelligence How effective is peer-reviewing in identifying important papers? We treat this question as a forecasting task. Can we predict which papers will be highly cited in the future based on venue and "early returns" (citations soon after publication)? We show early returns are more predictive than venue. Finally, we end with constructive suggestions to address scaling challenges: (a) too many submissions and (b) too few qualified reviewers. |
| title | Is Peer-Reviewing Worth the Effort? |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2412.14351 |