| The physics of brain network structure, function and control CW Lynn, DS Bassett Nature Reviews Physics 1 (5), 318-332, 2019 | 391 | 2019 |
| Broken detailed balance and entropy production in the human brain CW Lynn, EJ Cornblath, L Papadopoulos, MA Bertolero, DS Bassett Proceedings of the National Academy of Sciences 118 (47), 2021 | 140 | 2021 |
| Citation inequity and gendered citation practices in contemporary physics EG Teich, JZ Kim, CW Lynn, SC Simon, AA Klishin, KP Szymula, ... Nature Physics 18 (10), 1161-1170, 2022 | 113 | 2022 |
| How humans learn and represent networks CW Lynn, DS Bassett Proceedings of the National Academy of Sciences 117 (47), 29407-29415, 2020 | 88 | 2020 |
| Human information processing in complex networks CW Lynn, L Papadopoulos, AE Kahn, DS Bassett Nature Physics 16 (9), 965-973, 2020 | 84 | 2020 |
| Abstract representations of events arise from mental errors in learning and memory CW Lynn, AE Kahn, N Nyema, DS Bassett Nature communications 11 (1), 2313, 2020 | 75* | 2020 |
| Decomposing the local arrow of time in interacting systems CW Lynn, CM Holmes, W Bialek, DJ Schwab Physical review letters 129 (11), 118101, 2022 | 51 | 2022 |
| Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state L Papadopoulos, CW Lynn, D Battaglia, DS Bassett PLoS computational biology 16 (9), e1008144, 2020 | 38 | 2020 |
| Efficient coding in the economics of human brain connectomics D Zhou, CW Lynn, Z Cui, R Ciric, GL Baum, TM Moore, DR Roalf, ... Network Neuroscience 6 (1), 234-274, 2022 | 35 | 2022 |
| Maximizing influence in an ising network: A mean-field optimal solution C Lynn, DD Lee Advances in neural information processing systems 29, 2016 | 31 | 2016 |
| Surges of collective human activity emerge from simple pairwise correlations CW Lynn, L Papadopoulos, DD Lee, DS Bassett Physical Review X 9 (1), 011022, 2019 | 29 | 2019 |
| Heavy-tailed neuronal connectivity arises from Hebbian self-organization CW Lynn, CM Holmes, SE Palmer Nature Physics 20 (3), 484-491, 2024 | 26 | 2024 |
| Quantifying the compressibility of complex networks CW Lynn, DS Bassett Proceedings of the National Academy of Sciences 118 (32), e2023473118, 2021 | 24* | 2021 |
| Violations of the fluctuation-dissipation theorem reveal distinct nonequilibrium dynamics of brain states G Deco, CW Lynn, Y Sanz Perl, ML Kringelbach Physical Review E 108 (6), 064410, 2023 | 23 | 2023 |
| Emergence of local irreversibility in complex interacting systems CW Lynn, CM Holmes, W Bialek, DJ Schwab Physical Review E 106 (3), 034102, 2022 | 22 | 2022 |
| Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states A Ashourvan, P Shah, A Pines, S Gu, CW Lynn, DS Bassett, KA Davis, ... Communications biology 4 (1), 210, 2021 | 21 | 2021 |
| Spectral brilliance of channeling radiation at the ASTA photoinjector T Sen, C Lynn International Journal of Modern Physics A 29 (30), 1450179, 2014 | 17 | 2014 |
| Is stochastic thermodynamics the key to understanding the energy costs of computation? DH Wolpert, J Korbel, CW Lynn, F Tasnim, JA Grochow, G Kardeş, ... Proceedings of the National Academy of Sciences 121 (45), e2321112121, 2024 | 16 | 2024 |
| Maximizing activity in ising networks via the tap approximation C Lynn, D Lee Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 13 | 2018 |
| Neurophysiological evidence for cognitive map formation during sequence learning J Stiso, CW Lynn, AE Kahn, V Rangarajan, KP Szymula, R Archer, ... eneuro 9 (2), 2022 | 11 | 2022 |
Danielle (Dani) S. BassettJ. Peter Skirkanich Professor, University of Pennsylvania & Santa Fe InstitutePatvirtintas el. paštas seas.upenn.edu
