Conor Heins
Impact in
- Cognitive Neuroscience top 10%
- Embodied and Extended Cognition
- Neural dynamics and brain function
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- Philosophy and History of Science
Papers in
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- Neural dynamics and brain function 10
- Embodied and Extended Cognition 6
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- Advanced Thermodynamics and Statistical Mechanics 5
- Statistical Mechanics and Entropy 3
- Co-authors
- Karl Friston (15 shared papers)Lancelot Da Costa (11 shared papers)Iain D. Couzin (3 shared papers)Thomas Parr (8 shared papers)Grigorios A. Pavliotis (3 shared papers)Kai Ueltzhöffer (2 shared papers)Maxwell J. D. Ramstead (4 shared papers)Beren Millidge (4 shared papers)
- Journals
- Physics of Life Reviews (3 papers)Physics Reports (1 paper)Biological Psychology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Cognition (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Conor Heins
21 papers receiving 390 citations
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 227
- History and Philosophy of Science 44
- Statistical and Nonlinear Physics 71
- Experimental and Cognitive Psychology 35
- Developmental Biology 6
Countries citing papers authored by Conor Heins
This map shows the geographic impact of Conor Heins'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 Conor Heins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor Heins more than expected).
Fields of papers citing papers by Conor Heins
This network shows the impact of papers produced by Conor Heins. 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 Conor Heins. The network helps show where Conor Heins may publish in the future.
Co-authors
The 25 scholars most cited alongside Conor Heins, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 60 | |
| 2 | 2023 | 56 | |
| 3 | 2023 | 47 | |
| 4 | 2022 | 46 | |
| 5 | 2021 | 35 | |
| 6 | 2021 | 32 | |
| 7 | 2024 | 26 | |
| 8 | 2022 | 24 | |
| 9 | 2023 | 16 | |
| 10 | 2024 | 15 | |
| 11 | 2024 | 13 | |
| 12 | 2018 | 7 | |
| 13 | 2025 | 6 | |
| 14 | Sparse convolutional coding for neuronal assembly detection | 2017 | 4 |
| 15 | 2021 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2022 | 1 |
About Conor Heins
Conor Heins is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Molecular Biology, Artificial Intelligence and Sociology and Political Science, having authored 22 papers that have together received 400 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Embodied and Extended Cognition (6 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), Statistical Mechanics and Entropy (3 papers), Gene Regulatory Network Analysis (3 papers), Language and cultural evolution (2 papers), Computability, Logic, AI Algorithms (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (227 citations), History and Philosophy of Science (44 citations), Statistical and Nonlinear Physics (71 citations), Experimental and Cognitive Psychology (35 citations) and Developmental Biology (6 citations). Conor Heins has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Karl Friston, Lancelot Da Costa, Iain D. Couzin, Thomas Parr, Grigorios A. Pavliotis, Kai Ueltzhöffer, Maxwell J. D. Ramstead, Beren Millidge, Noor Sajid and Brennan Klein. Their work appears in journals such as Physics of Life Reviews, Physics Reports, Biological Psychology, Proceedings of the National Academy of Sciences and Cognition.
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.