Tom Smith
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications 7
- Reinforcement Learning in Robotics 5
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- Neural dynamics and brain function 7
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- Evolution and Genetic Dynamics 3
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- Modular Robots and Swarm Intelligence 3
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- Evolutionary Game Theory and Cooperation 5
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- Photoreceptor and optogenetics research 4
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- Advanced Memory and Neural Computing 3
- Co-authors
- Phil HusbandsMichael O’SheaNick JakobiAndrew PhilippidesHarold J. MorowitzSeth BullockJon BirdGunnar Bolmsjö
- Partner nations
- United KingdomHungary
In The Last Decade
Tom Smith
21 papers receiving 292 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 207
- Cognitive Neuroscience 92
- Computational Theory and Mathematics 57
- Genetics 68
- Mechanical Engineering 43
Countries citing papers authored by Tom Smith
This map shows the geographic impact of Tom Smith'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 Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Smith more than expected).
Fields of papers citing papers by Tom Smith
This network shows the impact of papers produced by Tom Smith. 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 Smith. The network helps show where Tom Smith may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Tom Smith, 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 | 1 | |
| 2 | ACROBOTER: a ceiling based crawling, hoisting and swinging service robot platform | 2009 | 19 |
| 3 | 2006 | 1 | |
| 4 | 2006 | 7 | |
| 5 | 2005 | 18 | |
| 6 | 2003 | 11 | |
| 7 | 2003 | 9 | |
| 8 | Temporally adaptive networks: Analysis of GasNet robot control. | 2003 | 1 |
| 9 | Temporally adaptive networks: analysis of GasNet robot control networks | 2002 | 1 |
| 10 | 2002 | 23 | |
| 11 | Evaluating the Effectiveness of Biologically-Inspired Robot Control Networks through Operational Analysis | 2002 | 2 |
| 12 | 2002 | 106 | |
| 13 | 2002 | 24 | |
| 14 | 2002 | 8 | |
| 15 | Fast and loose: biologically inspired couplings | 2002 | 2 |
| 16 | 2001 | 7 | |
| 17 | 2000 | 11 | |
| 18 | Adding Vision to Khepera: An Autonomous Robot Footballer | 2000 | 2 |
| 19 | Locomotor performance in adult Monodelphis domestica (S. American opossum) following complete spinal transection at one week postnatal age | 1996 | 1 |
| 20 | Report of the matrix of biological knowledge workshop | 1987 | 9 |
About Tom Smith
Tom Smith is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics and Endocrine and Autonomic Systems, having authored 22 papers that have together received 346 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Evolutionary Algorithms and Applications (7 papers), Evolutionary Game Theory and Cooperation (5 papers), Reinforcement Learning in Robotics (5 papers), Photoreceptor and optogenetics research (4 papers), Modular Robots and Swarm Intelligence (3 papers), Evolution and Genetic Dynamics (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Artificial Intelligence (207 citations), Cognitive Neuroscience (92 citations), Computational Theory and Mathematics (57 citations), Genetics (68 citations) and Mechanical Engineering (43 citations). Tom Smith has collaborated with scholars based in United Kingdom and Hungary. Frequent co-authors include Phil Husbands, Michael O’Shea, Michael O’Shea, Nick Jakobi, Andrew Philippides, Harold J. Morowitz, Seth Bullock, Jon Bird, Gunnar Bolmsjö and Gábor Stépàn. Their work appears in journals such as Artificial Life, Biosystems, Evolutionary Computation, Adaptive Behavior and Theory in Biosciences.
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.