Christopher A. Choquette-Choo
- Health Informatics top 10%
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data 4
- Adversarial Robustness in Machine Learning 4
- Cryptography and Data Security 2
- Machine Learning in Healthcare 1
- Information Systems top 10%
- Software Engineering Research 1
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- Statistical Methods and Bayesian Inference 1
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- Software Reliability and Analysis Research 1
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- Numerical Methods and Algorithms 1
Christopher A. Choquette-Choo
10 papers receiving 394 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Health Informatics 16
- Artificial Intelligence 302
- Computer Vision and Pattern Recognition 84
- Signal Processing 33
- Information Systems 67
Countries citing papers authored by Christopher A. Choquette-Choo
This map shows the geographic impact of Christopher A. Choquette-Choo'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 A. Choquette-Choo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher A. Choquette-Choo more than expected).
Fields of papers citing papers by Christopher A. Choquette-Choo
This network shows the impact of papers produced by Christopher A. Choquette-Choo. 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 A. Choquette-Choo. The network helps show where Christopher A. Choquette-Choo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher A. Choquette-Choo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 26 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 4 | |
| 7 | Entangled Watermarks as a Defense against Model Extraction | 2021 | 29 |
| 8 | 2021 | 39 | |
| 9 | Machine Unlearningbreakdown → | 2021 | 285 |
| 10 | 2019 | 13 |
About Christopher A. Choquette-Choo
Christopher A. Choquette-Choo is a scholar working on Toxicology, Software and Artificial Intelligence, having authored 10 papers that have together received 406 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (4 papers), Adversarial Robustness in Machine Learning (4 papers), Cryptography and Data Security (2 papers), Statistical Methods and Bayesian Inference (1 paper), Software Reliability and Analysis Research (1 paper), Numerical Methods and Algorithms (1 paper), Software Engineering Research (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Health Informatics (16 citations), Artificial Intelligence (302 citations) and Computer Vision and Pattern Recognition (84 citations). Christopher A. Choquette-Choo has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Hengrui Jia, Varun Chandrasekaran, Nicolas Papernot, David Lie, Baiwu Zhang, Natalie Dullerud, Jonny Proppe, Florian Tramèr, Kurt Thomas and Hyrum S. Anderson.
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.