Tom Eccles
Impact in
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- Graph Labeling and Dimension Problems
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- Experimental Behavioral Economics Studies
Papers in
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- Reinforcement Learning in Robotics 2
- Artificial Intelligence in Games 1
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- Reservoir Engineering and Simulation Methods 4
- Enhanced Oil Recovery Techniques 3
- Co-authors
- Thore Graepel (5 shared papers)Guy Lever (3 shared papers)Yoram Bachrach (4 shared papers)Nicholas Watters (1 shared paper)Christopher Burgess (1 shared paper)Alexander Lerchner (1 shared paper)Irina Higgins (1 shared paper)Alessandro Achille (1 shared paper)
- Journals
- Journal of Graph Theory (1 paper)Combinatorics Probability Computing (1 paper)Scientific Reports (1 paper)Journal of Combinatorial Theory Series A (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Tom Eccles
14 papers receiving 99 citations
Peers
Comparison fields: 5 of 50
- Computational Theory and Mathematics 29
- Safety Research 11
- Acoustics and Ultrasonics 1
- Artificial Intelligence 38
- Discrete Mathematics and Combinatorics 3
Countries citing papers authored by Tom Eccles
This map shows the geographic impact of Tom Eccles'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 Tom Eccles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Eccles more than expected).
Fields of papers citing papers by Tom Eccles
This network shows the impact of papers produced by Tom Eccles. 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 Tom Eccles. The network helps show where Tom Eccles may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Eccles, 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 | 2015 | 23 | |
| 2 | Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies | 2018 | 21 |
| 3 | 2022 | 13 | |
| 4 | 2019 | 11 | |
| 5 | 2012 | 7 | |
| 6 | 2019 | 7 | |
| 7 | 2019 | 6 | |
| 8 | 2008 | 4 | |
| 9 | 2009 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2009 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 1983 | 1 | |
| 14 | 2015 | 1 |
About Tom Eccles
Tom Eccles is a scholar working on Artificial Intelligence, Ocean Engineering, Mechanical Engineering, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 14 papers that have together received 103 indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (4 papers), Enhanced Oil Recovery Techniques (3 papers), Limits and Structures in Graph Theory (3 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers), Advanced Graph Theory Research (2 papers), Reinforcement Learning in Robotics (2 papers), Auction Theory and Applications (2 papers) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Computational Theory and Mathematics (29 citations), Safety Research (11 citations), Acoustics and Ultrasonics (1 citation), Artificial Intelligence (38 citations) and Discrete Mathematics and Combinatorics (3 citations). Tom Eccles has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Thore Graepel, Guy Lever, Yoram Bachrach, Nicholas Watters, Christopher Burgess, Alexander Lerchner, Irina Higgins, Alessandro Achille, Béla Bollobás and Löıc Matthey. Their work appears in journals such as Journal of Graph Theory, Combinatorics Probability Computing, Scientific Reports, Journal of Combinatorial Theory Series A and Nature Communications.
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.