Thomas Miconi
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Artificial Intelligence top 10%
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Reinforcement Learning in Robotics
Papers in
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- Evolutionary Algorithms and Applications 6
- Reinforcement Learning in Robotics 2
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- Neural dynamics and brain function 6
- EEG and Brain-Computer Interfaces 3
- Visual perception and processing mechanisms 3
- Co-authors
- Rufin VanRullen (2 shared papers)Alastair Channon (2 shared papers)Jeffrey L. McKinstry (1 shared paper)Gabriel Kreiman (1 shared paper)Gerald M. Edelman (1 shared paper)Bert Baumgaertner (1 shared paper)Guillaume Beslon (1 shared paper)James A. Foster (1 shared paper)
- Journals
- Artificial Life (2 papers)Nature Communications (1 paper)Theory in Biosciences (1 paper)PLoS Computational Biology (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Thomas Miconi
16 papers receiving 247 citations
Peers
Comparison fields: 5 of 45
- Cognitive Neuroscience 122
- Artificial Intelligence 105
- Developmental Biology 5
- Cellular and Molecular Neuroscience 31
- Genetics 38
Countries citing papers authored by Thomas Miconi
This map shows the geographic impact of Thomas Miconi'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 Thomas Miconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Miconi more than expected).
Fields of papers citing papers by Thomas Miconi
This network shows the impact of papers produced by Thomas Miconi. 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 Thomas Miconi. The network helps show where Thomas Miconi may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Miconi, 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 | 2017 | 76 | |
| 2 | 2016 | 41 | |
| 3 | 2008 | 27 | |
| 4 | 2016 | 16 | |
| 5 | 2015 | 15 | |
| 6 | 2016 | 15 | |
| 7 | When evolving populations is better than coevolving individuals: the blind mice problem | 2003 | 11 |
| 8 | 2010 | 11 | |
| 9 | 2005 | 10 | |
| 10 | 2008 | 10 | |
| 11 | 2006 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2001 | 5 | |
| 14 | 2025 | 3 | |
| 15 | 2023 | 3 | |
| 16 | Fitness Transmission: A Genealogic Signature of Adaptive Evolution | 2008 | 1 |
| 17 | Estimating Q(s,s') with Deterministic Dynamics Gradients | 2020 | 0 |
About Thomas Miconi
Thomas Miconi is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Sociology and Political Science, Genetics and Electrical and Electronic Engineering, having authored 17 papers that have together received 257 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Evolutionary Algorithms and Applications (6 papers), Evolutionary Game Theory and Cooperation (6 papers), Advanced Memory and Neural Computing (3 papers), EEG and Brain-Computer Interfaces (3 papers), Visual perception and processing mechanisms (3 papers), Reinforcement Learning in Robotics (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (122 citations), Artificial Intelligence (105 citations), Developmental Biology (5 citations), Cellular and Molecular Neuroscience (31 citations) and Genetics (38 citations). Thomas Miconi has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Rufin VanRullen, Alastair Channon, Jeffrey L. McKinstry, Gabriel Kreiman, Gerald M. Edelman, Bert Baumgaertner, Guillaume Beslon, James A. Foster, Lee Spector and Barry McMullin. Their work appears in journals such as Artificial Life, Nature Communications, Theory in Biosciences, PLoS Computational Biology and Nature Neuroscience.
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.