Travis Mandel
Impact in
- Human-Computer Interaction top 5%
- Interactive and Immersive Displays
- Gaze Tracking and Assistive Technology
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- Online Learning and Analytics
Papers in
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- Reinforcement Learning in Robotics 6
- Data Stream Mining Techniques 3
- Machine Learning and Data Classification 3
- Machine Learning and Algorithms 2
- Coding theory and cryptography 2
- Intelligent Tutoring Systems and Adaptive Learning 2
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- Advanced Bandit Algorithms Research 7
- Co-authors
- Zoran Popović (9 shared papers)Emma Brunskill (8 shared papers)Yun-En Liu (8 shared papers)Shwetak Patel (1 shared paper)Jacob O. Wobbrock (1 shared paper)Mayank Goel (1 shared paper)Sergey Levine (1 shared paper)Jens Mache (4 shared papers)
- Journals
- Inventiones mathematicae (1 paper)Frontiers in Marine Science (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)Remote Sensing (1 paper)Pattern Recognition (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Travis Mandel
24 papers receiving 319 citations
Peers
Comparison fields: 5 of 75
- Human-Computer Interaction 72
- Computer Science Applications 64
- Artificial Intelligence 138
- Management Science and Operations Research 53
- Cognitive Neuroscience 57
Countries citing papers authored by Travis Mandel
This map shows the geographic impact of Travis Mandel'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 Mandel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Mandel more than expected).
Fields of papers citing papers by Travis Mandel
This network shows the impact of papers produced by Travis Mandel. 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 Mandel. The network helps show where Travis Mandel may publish in the future.
Co-authors
The 21 scholars most cited alongside Travis Mandel, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 77 | |
| 2 | 2014 | 55 | |
| 3 | 2017 | 23 | |
| 4 | Trading Off Scientific Knowledge and User Learning with Multi-Armed Bandits | 2014 | 22 |
| 5 | 2015 | 20 | |
| 6 | 2022 | 20 | |
| 7 | 2020 | 16 | |
| 8 | Predicting player moves in an educational game: A hybrid approach | 2013 | 13 |
| 9 | 2021 | 12 | |
| 10 | 2014 | 12 | |
| 11 | Efficient Bayesian clustering for reinforcement learning | 2016 | 10 |
| 12 | 2020 | 9 | |
| 13 | 2013 | 9 | |
| 14 | 2016 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2019 | 5 | |
| 17 | Investigating CRC Polynomials that Correct Burst Errors. | 2009 | 4 |
| 18 | 2021 | 4 | |
| 19 | 2016 | 3 | |
| 20 | 2012 | 3 |
About Travis Mandel
Travis Mandel is a scholar working on Artificial Intelligence, Management Science and Operations Research, Geometry and Topology, Computer Science Applications and Information Systems, having authored 27 papers that have together received 338 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (7 papers), Reinforcement Learning in Robotics (6 papers), Algebraic structures and combinatorial models (3 papers), Data Stream Mining Techniques (3 papers), Machine Learning and Data Classification (3 papers), Machine Learning and Algorithms (2 papers), Coding theory and cryptography (2 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). The work is most often cited by research in Human-Computer Interaction (72 citations), Computer Science Applications (64 citations), Artificial Intelligence (138 citations), Management Science and Operations Research (53 citations) and Cognitive Neuroscience (57 citations). Travis Mandel has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Zoran Popović, Emma Brunskill, Yun-En Liu, Shwetak Patel, Jacob O. Wobbrock, Mayank Goel, Sergey Levine, Jens Mache, Ben Davison and Mark Jimenez. Their work appears in journals such as Inventiones mathematicae, Frontiers in Marine Science, Proceedings of the ACM on Human-Computer Interaction, Remote Sensing and Pattern Recognition.
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.