Artemy Kolchinsky
- Cognitive Neuroscience top 10%
- Statistical and Nonlinear Physics top 5%
- Molecular Biology
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- David H. WolpertLuís M. RochaHeng‐Yi WuLang LiAnália LourençoSosuke ItoPatric HagmannOlaf Sporns
- Topics
- Advanced Thermodynamics and Statistical Mechanics (17 papers)Neural dynamics and brain function (10 papers)Statistical Mechanics and Entropy (6 papers)
- Partner nations
- United StatesJapanSpain
In The Last Decade
Artemy Kolchinsky
34 papers receiving 671 citations
Peers
Comparison fields: 5 of 150
- Cognitive Neuroscience 202
- Statistical and Nonlinear Physics 171
- Molecular Biology 129
- Artificial Intelligence 113
- Cellular and Molecular Neuroscience 39
Countries citing papers authored by Artemy Kolchinsky
This map shows the geographic impact of Artemy Kolchinsky'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 Artemy Kolchinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artemy Kolchinsky more than expected).
Fields of papers citing papers by Artemy Kolchinsky
This network shows the impact of papers produced by Artemy Kolchinsky. 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 Artemy Kolchinsky. The network helps show where Artemy Kolchinsky may publish in the future.
Co-authorship network of co-authors of Artemy Kolchinsky
This figure shows the co-authorship network connecting the top 25 collaborators of Artemy Kolchinsky. A scholar is included among the top collaborators of Artemy Kolchinsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Artemy Kolchinsky. Artemy Kolchinsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 23 | |
| 9 | Entropy production and thermodynamics of information under protocol constraints | 2 |
| 10 | 3 | |
| 11 | 24 | |
| 12 | Dynamics of beneficial epidemics | 8 |
| 13 | 75 | |
| 14 | Semantic information, agency, and nonequilibrium statistical physics | 1 |
| 15 | Exact, complete expressions for the thermodynamic costs of circuits. | 0 |
| 16 | 176 | |
| 17 | 32 | |
| 18 | 11 | |
| 19 | Prediction and modularity in dynamical systems. | 1 |
| 20 | 19 |
About Artemy Kolchinsky
Artemy Kolchinsky is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Physical and Theoretical Chemistry, having authored 36 papers that have together received 687 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (17 papers), Neural dynamics and brain function (10 papers) and Statistical Mechanics and Entropy (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (171 citations), Cognitive Neuroscience (202 citations) and Artificial Intelligence (113 citations). Artemy Kolchinsky has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include David H. Wolpert, Luís M. Rocha, Heng‐Yi Wu, Lang Li, Anália Lourenço, Sosuke Ito, Patric Hagmann, Olaf Sporns, Martijn P. van den Heuvel and Xiaoran Yan. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and PLoS ONE.
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.