Christopher Ré
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 1%
- AI in cancer detection
- Topic Modeling
- Machine Learning and Data Classification
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 6
- AI in cancer detection 4
- Machine Learning in Healthcare 4
- Domain Adaptation and Few-Shot Learning 3
-
- Bioinformatics and Genomic Networks 4
- Biomedical Text Mining and Ontologies 4
- Co-authors
- Daniel L. Rubin (9 shared papers)Russ B. Altman (4 shared papers)M Snyder (6 shared papers)Kun‐Hsing Yu (5 shared papers)Gerald J. Berry (3 shared papers)Ce Zhang (3 shared papers)Theodoros Rekatsinas (2 shared papers)Ihab F. Ilyas (2 shared papers)
- Journals
- Nature Communications (3 papers)Proceedings of the VLDB Endowment (3 papers)npj Digital Medicine (2 papers)Journal of Proteome Research (2 papers)Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Christopher Ré
48 papers receiving 2.5k citations
Christopher Ré's Hit Papers
Peers
Comparison fields: 5 of 157
- Health Informatics 136
- Artificial Intelligence 1.3k
- Radiology, Nuclear Medicine and Imaging 601
- Management Science and Operations Research 312
- Biophysics 93
Countries citing papers authored by Christopher Ré
This map shows the geographic impact of Christopher Ré's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher Ré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Ré more than expected).
Fields of papers citing papers by Christopher Ré
This network shows the impact of papers produced by Christopher Ré. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher Ré. The network helps show where Christopher Ré may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Ré, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features Hit paper breakdown → | 2016 | 729 |
| 2 | HoloClean Hit paper breakdown → | 2017 | 312 |
| 3 | 2019 | 222 | |
| 4 | Sequence modeling and design from molecular to genome scale with Evo Hit paper breakdown → | 2024 | 179 |
| 5 | 2018 | 156 | |
| 6 | 2020 | 86 | |
| 7 | 2022 | 86 | |
| 8 | 2019 | 84 | |
| 9 | 2014 | 81 | |
| 10 | 2017 | 81 | |
| 11 | 2019 | 61 | |
| 12 | 2015 | 56 | |
| 13 | 2020 | 53 | |
| 14 | 2016 | 51 | |
| 15 | Understanding Tables in Context Using Standard NLP Toolkits | 2013 | 26 |
| 16 | 2018 | 24 | |
| 17 | Parallel Feature Selection Inspired by Group Testing | 2014 | 23 |
| 18 | Feature Engineering for Knowledge Base Construction. | 2014 | 22 |
| 19 | 2020 | 22 | |
| 20 | 2023 | 22 |
About Christopher Ré
Christopher Ré is a scholar working on Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 2.6k indexed citations. Recurring topics across this work include Data Quality and Management (6 papers), Topic Modeling (6 papers), AI in cancer detection (4 papers), Machine Learning in Healthcare (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Bioinformatics and Genomic Networks (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Health Informatics (136 citations), Artificial Intelligence (1.3k citations), Radiology, Nuclear Medicine and Imaging (601 citations), Management Science and Operations Research (312 citations) and Biophysics (93 citations). Christopher Ré has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Daniel L. Rubin, Russ B. Altman, M Snyder, Kun‐Hsing Yu, Gerald J. Berry, Ce Zhang, Theodoros Rekatsinas, Ihab F. Ilyas, Xu Chu and Jared Dunnmon. Their work appears in journals such as Nature Communications, Proceedings of the VLDB Endowment, npj Digital Medicine, Journal of Proteome Research and Bioinformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.