Travis Dick
Impact in
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- Hand Gesture Recognition Systems
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- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Machine Learning and Algorithms
Papers in
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- Machine Learning and Algorithms 6
- Privacy-Preserving Technologies in Data 5
- Advanced Clustering Algorithms Research 2
- Cryptography and Data Security 2
- Algorithms and Data Compression 2
- Machine Learning and Data Classification 2
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- Constraint Satisfaction and Optimization 2
- Co-authors
- Maria-Florina Balcan (10 shared papers)Martin Jägersand (2 shared papers)Richard S. Sutton (1 shared paper)Azad Shademan (2 shared papers)Patrick M. Pilarski (1 shared paper)Camilo Perez Quintero (1 shared paper)Jianxing Chen (1 shared paper)Natalie Rudolph (1 shared paper)
- Journals
- Journal of the ACM (2 papers)Proceedings of the National Academy of Sciences (1 paper)American Journal of Health-System Pharmacy (1 paper)Journal of Machine Learning Research (1 paper)PubMed (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Travis Dick
20 papers receiving 194 citations
Peers
Comparison fields: 5 of 54
- Human-Computer Interaction 21
- Artificial Intelligence 99
- Computer Science Applications 15
- Health Informatics 3
- Management Science and Operations Research 25
Countries citing papers authored by Travis Dick
This map shows the geographic impact of Travis Dick'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 Travis Dick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Dick more than expected).
Fields of papers citing papers by Travis Dick
This network shows the impact of papers produced by Travis Dick. 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 Travis Dick. The network helps show where Travis Dick may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis Dick, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 33 | |
| 2 | Differentially Private Clustering in High-Dimensional Euclidean Spaces | 2017 | 27 |
| 3 | 2013 | 23 | |
| 4 | 2018 | 22 | |
| 5 | 2019 | 18 | |
| 6 | 2023 | 16 | |
| 7 | Learning to Branch | 2018 | 14 |
| 8 | 2023 | 9 | |
| 9 | 2013 | 9 | |
| 10 | Differentially Private Covariance Estimation | 2019 | 8 |
| 11 | Random Smoothing Might be Unable to Certify L∞ Robustness for High-Dimensional Images | 2020 | 7 |
| 12 | Envy-Free Classification | 2019 | 3 |
| 13 | 2018 | 3 | |
| 14 | 2015 | 3 | |
| 15 | 2017 | 2 | |
| 16 | 2023 | 2 | |
| 17 | Data-Driven Clustering via Parameterized Lloyd's Families | 2018 | 2 |
| 18 | Learning piecewise Lipschitz functions in changing environments | 2020 | 1 |
| 19 | Learning to Link | 2020 | 1 |
| 20 | Learning piecewise Lipschitz functions in changing environments | 2020 | 1 |
About Travis Dick
Travis Dick is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Management Science and Operations Research, having authored 22 papers that have together received 204 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (6 papers), Privacy-Preserving Technologies in Data (5 papers), Advanced Bandit Algorithms Research (3 papers), Advanced Clustering Algorithms Research (2 papers), Cryptography and Data Security (2 papers), Algorithms and Data Compression (2 papers), Constraint Satisfaction and Optimization (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Human-Computer Interaction (21 citations), Artificial Intelligence (99 citations), Computer Science Applications (15 citations), Health Informatics (3 citations) and Management Science and Operations Research (25 citations). Travis Dick has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Maria-Florina Balcan, Martin Jägersand, Richard S. Sutton, Azad Shademan, Patrick M. Pilarski, Camilo Perez Quintero, Jianxing Chen, Natalie Rudolph, Change Institutions to: University of Waterloo and Wenlong Mou. Their work appears in journals such as Journal of the ACM, Proceedings of the National Academy of Sciences, American Journal of Health-System Pharmacy, Journal of Machine Learning Research and PubMed.
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.