PISTIS: A Conflict of Interest Declaration and Detection System for Peer Review Management
Summary: PISTIS: an interactive COI declaration and detection system for peer review. It integrates data sources, offers a GUI to surface potential COIs, and semi-automatically recommends latent COIs via a supervised ranking model learned from declarations. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Siyuan Wu (University of Macau)
- 2. Leong Hou U (University of Macau)
- 3. Sourav S Bhowmick (Nanyang Technological University)
- 4. Wolfgang Gatterbauer (Northeastern University)
BibTeX Citation
@inproceedings{wu_sigmod18,
title = {{PISTIS: A Conflict of Interest Declaration and Detection System for Peer Review Management}},
author = {Wu, Siyuan and U, Leong Hou and Bhowmick, Sourav S and Gatterbauer, Wolfgang},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3193552},
url = {https://dl.acm.org/doi/10.1145/3183713.3193552},
year = {2018}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 731 | PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks | 2011 | VLDB | 0.00014537965 |
| 13,576 | Weighted Coverage based Reviewer Assignment | 2015 | SIGMOD | - |
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