Christopher W. Lynn

566 total citations
20 papers, 216 citations indexed

About

Christopher W. Lynn is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Christopher W. Lynn has authored 20 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 10 papers in Statistical and Nonlinear Physics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Christopher W. Lynn's work include Neural dynamics and brain function (10 papers), Functional Brain Connectivity Studies (6 papers) and Complex Network Analysis Techniques (5 papers). Christopher W. Lynn is often cited by papers focused on Neural dynamics and brain function (10 papers), Functional Brain Connectivity Studies (6 papers) and Complex Network Analysis Techniques (5 papers). Christopher W. Lynn collaborates with scholars based in United States, United Kingdom and Denmark. Christopher W. Lynn's co-authors include Danielle S. Bassett, Stephanie E. Palmer, Lia Papadopoulos, Dani S. Bassett, Demian Battaglia, Jason Z. Kim, Erin G. Teich, Jordan D. Dworkin, Pragya Srivastava and Perry Zurn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Physics and PLoS Computational Biology.

In The Last Decade

Christopher W. Lynn

19 papers receiving 214 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher W. Lynn United States 8 102 35 24 24 22 20 216
Joshua H. Goldwyn United States 10 329 3.2× 166 4.7× 7 0.3× 7 0.3× 13 0.6× 18 465
Björn C. Schiffler Sweden 5 84 0.8× 7 0.2× 16 0.7× 18 0.8× 6 235
James Matthew Barrie United States 5 140 1.4× 20 0.6× 5 0.2× 9 0.4× 26 204
Philippe Vincent‐Lamarre Canada 7 35 0.3× 4 0.1× 1 0.0× 47 2.0× 12 0.5× 15 188
Tetsuya Shimokawa Japan 10 112 1.1× 73 2.1× 2 0.1× 14 0.6× 40 269
Richard Gast Germany 9 161 1.6× 43 1.2× 7 0.3× 4 0.2× 13 241
Sunghyun Park South Korea 9 23 0.2× 5 0.1× 4 0.2× 10 0.4× 46 2.1× 31 248
K. Andrew DeSoto United States 9 137 1.3× 6 0.2× 17 0.7× 33 1.5× 17 226
Marina V. Khramova Russia 8 135 1.3× 25 0.7× 14 0.6× 42 210
Armando Freitas da Rocha Brazil 13 209 2.0× 30 0.9× 16 0.7× 35 387

Countries citing papers authored by Christopher W. Lynn

Since Specialization
Citations

This map shows the geographic impact of Christopher W. Lynn'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 Christopher W. Lynn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher W. Lynn more than expected).

Fields of papers citing papers by Christopher W. Lynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher W. Lynn. 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 Christopher W. Lynn. The network helps show where Christopher W. Lynn may publish in the future.

Co-authorship network of co-authors of Christopher W. Lynn

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher W. Lynn. A scholar is included among the top collaborators of Christopher W. Lynn 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 Christopher W. Lynn. Christopher W. Lynn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lynn, Christopher W., et al.. (2026). Quantifying the compressibility of the human brain. Proceedings of the National Academy of Sciences. 123(4). e2531115123–e2531115123.
2.
Lynn, Christopher W., et al.. (2025). Exact minimax entropy models of large-scale neuronal activity. Physical review. E. 111(5). 54411–54411. 3 indexed citations
3.
Lynn, Christopher W., et al.. (2025). Non-equilibrium whole-brain dynamics arise from pairwise interactions. Cell Reports Physical Science. 6(3). 102464–102464. 1 indexed citations
4.
Lynn, Christopher W., et al.. (2025). Statistical physics of large-scale neural activity with loops. Proceedings of the National Academy of Sciences. 122(41). e2426926122–e2426926122. 1 indexed citations
5.
Wolpert, David H., Jan Korbel, Christopher W. Lynn, et al.. (2024). Is stochastic thermodynamics the key to understanding the energy costs of computation?. Proceedings of the National Academy of Sciences. 121(45). e2321112121–e2321112121. 11 indexed citations
6.
Rosch, Richard, et al.. (2024). Spontaneous Brain Activity Emerges from Pairwise Interactions in the Larval Zebrafish Brain. Physical Review X. 14(3). 2 indexed citations
7.
Tewarie, Prejaas, Andrea I. Luppi, Christopher W. Lynn, et al.. (2024). LSD flattens the hierarchy of directed information flow in fast whole-brain dynamics. Imaging Neuroscience. 3. 2 indexed citations
8.
Lynn, Christopher W., et al.. (2024). Heavy-tailed neuronal connectivity arises from Hebbian self-organization. Nature Physics. 20(3). 484–491. 23 indexed citations
9.
Lynn, Christopher W., et al.. (2024). Emergent scale-free networks. PNAS Nexus. 3(7). pgae236–pgae236. 2 indexed citations
10.
Zhou, Dale, Christopher W. Lynn, Jason Z. Kim, et al.. (2023). Curiosity as filling, compressing, and reconfiguring knowledge networks. 2(4). 5 indexed citations
11.
Deco, Gustavo, Christopher W. Lynn, Yonatan Sanz Perl, & Morten L. Kringelbach. (2023). Violations of the fluctuation-dissipation theorem reveal distinct nonequilibrium dynamics of brain states. Physical review. E. 108(6). 64410–64410. 17 indexed citations
12.
Stiso, Jennifer, Christopher W. Lynn, Ari E. Kahn, et al.. (2022). Neurophysiological Evidence for Cognitive Map Formation during Sequence Learning. eNeuro. 9(2). ENEURO.0361–21.2022. 7 indexed citations
13.
Teich, Erin G., Jason Z. Kim, Christopher W. Lynn, et al.. (2022). Citation inequity and gendered citation practices in contemporary physics. Nature Physics. 18(10). 1161–1170. 64 indexed citations
14.
Zhou, Dale, Christopher W. Lynn, Zaixu Cui, et al.. (2021). Efficient coding in the economics of human brain connectomics. Network Neuroscience. 6(1). 234–274. 16 indexed citations
15.
Ashourvan, Arian, Preya Shah, Adam Pines, et al.. (2021). Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states. Communications Biology. 4(1). 210–210. 14 indexed citations
16.
Lynn, Christopher W. & Danielle S. Bassett. (2021). Quantifying the compressibility of complex networks. Proceedings of the National Academy of Sciences. 118(32). 13 indexed citations
17.
Papadopoulos, Lia, Christopher W. Lynn, Demian Battaglia, & Danielle S. Bassett. (2020). Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state. PLoS Computational Biology. 16(9). e1008144–e1008144. 29 indexed citations
18.
Kahn, Ari E., Christopher W. Lynn, Lia Papadopoulos, & Danielle S. Bassett. (2019). Human Information Processing in Complex Networks. Bulletin of the American Physical Society. 2019. 1 indexed citations
19.
Lynn, Christopher W. & Daniel D. Lee. (2017). Statistical mechanics of influence maximization with thermal noise. Europhysics Letters (EPL). 117(6). 66001–66001. 2 indexed citations
20.
Lynn, Christopher W. & Daniel D. Lee. (2016). Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution. Neural Information Processing Systems. 29. 2487–2495. 3 indexed citations

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.

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