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
- Reinforcement Learning in Robotics
- Neural Networks and Reservoir Computing
Papers in
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- Neural dynamics and brain function 6
- Visual perception and processing mechanisms 3
- EEG and Brain-Computer Interfaces 3
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- Evolutionary Algorithms and Applications 6
- Neural Networks and Applications 2
- Metaheuristic Optimization Algorithms Research 2
- Co-authors
- Rufin VanRullenAlastair ChannonJeffrey L. McKinstryGerald M. EdelmanGabriel KreimanRoger WhiteLee SpectorWolfgang Banzhaf
- Journals
- Artificial Life (2 papers)Cerebral Cortex (1 paper)Theory in Biosciences (1 paper)PLoS Computational Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Thomas Miconi
16 papers receiving 243 citations
Peers
Comparison fields: 5 of 47
- Cognitive Neuroscience 121
- Artificial Intelligence 101
- 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-authorship network
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 | 2025 | 3 | |
| 2 | 2023 | 3 | |
| 3 | 2020 | 6 | |
| 4 | Estimating Q(s,s') with Deterministic Dynamics Gradients | 2020 | 0 |
| 5 | 2017 | 72 | |
| 6 | 2016 | 41 | |
| 7 | 2016 | 15 | |
| 8 | 2016 | 16 | |
| 9 | 2015 | 15 | |
| 10 | 2010 | 11 | |
| 11 | Fitness Transmission: A Genealogic Signature of Adaptive Evolution | 2008 | 1 |
| 12 | 2008 | 27 | |
| 13 | 2008 | 10 | |
| 14 | 2006 | 7 | |
| 15 | 2005 | 10 | |
| 16 | When evolving populations is better than coevolving individuals: the blind mice problem | 2003 | 11 |
| 17 | 2001 | 5 |
About Thomas Miconi
Thomas Miconi is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Sensory Systems, Information Systems and Management and Sociology and Political Science, having authored 17 papers that have together received 253 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), Visual perception and processing mechanisms (3 papers), EEG and Brain-Computer Interfaces (3 papers), Advanced Memory and Neural Computing (3 papers), Neural Networks and Applications (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (121 citations), Artificial Intelligence (101 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, Gerald M. Edelman, Gabriel Kreiman, Roger White, Lee Spector, Wolfgang Banzhaf, Guillaume Beslon and Bert Baumgaertner. Their work appears in journals such as Artificial Life, Cerebral Cortex, Theory in Biosciences, PLoS Computational Biology 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.