| A weighted and directed interareal connectivity matrix for macaque cerebral cortex NT Markov, MM Ercsey-Ravasz, AR Ribeiro Gomes, C Lamy, L Magrou, ... Cerebral cortex 24 (1), 17-36, 2014 | 827 | 2014 |
| Cortical high-density counterstream architectures NT Markov, M Ercsey-Ravasz, DC Van Essen, K Knoblauch, Z Toroczkai, ... Science 342 (6158), 1238406, 2013 | 583 | 2013 |
| A predictive network model of cerebral cortical connectivity based on a distance rule M Ercsey-Ravasz, NT Markov, C Lamy, DC Van Essen, K Knoblauch, ... Neuron 80 (1), 184-197, 2013 | 434 | 2013 |
| Weight consistency specifies regularities of macaque cortical networks NT Markov, P Misery, A Falchier, C Lamy, J Vezoli, R Quilodran, ... Cerebral cortex 21 (6), 1254-1272, 2011 | 386 | 2011 |
| Complexity of the international agro-food trade network and its impact on food safety M Ercsey-Ravasz, Z Toroczkai, Z Lakner, J Baranyi PloS one 7 (5), e37810, 2012 | 283 | 2012 |
| The role of long-range connections on the specificity of the macaque interareal cortical network NT Markov, M Ercsey-Ravasz, C Lamy, AR Ribeiro Gomes, L Magrou, ... Proceedings of the National Academy of Sciences 110 (13), 5187-5192, 2013 | 209 | 2013 |
| Spatial embedding and wiring cost constrain the functional layout of the cortical network of rodents and primates S Horvát, R Gămănuț, M Ercsey-Ravasz, L Magrou, B Gămănuț, ... PLoS biology 14 (7), e1002512, 2016 | 195 | 2016 |
| The mouse cortical connectome, characterized by an ultra-dense cortical graph, maintains specificity by distinct connectivity profiles R Gămănuţ, H Kennedy, Z Toroczkai, M Ercsey-Ravasz, DC Van Essen, ... Neuron 97 (3), 698-715. e10, 2018 | 189 | 2018 |
| Predicting commuter flows in spatial networks using a radiation model based on temporal ranges Y Ren, M Ercsey-Ravasz, P Wang, MC González, Z Toroczkai Nature communications 5 (1), 1-9, 2014 | 181 | 2014 |
| Optimization hardness as transient chaos in an analog approach to constraint satisfaction M Ercsey-Ravasz, Z Toroczkai Nature Physics 7 (12), 966-970, 2011 | 154 | 2011 |
| Spiral cracks in drying precipitates Z Neda, L Jozsa, M Ravasz Physical review letters 88 (9), 095502, 2002 | 98 | 2002 |
| Modeling conformational ensembles of slow functional motions in Pin1-WW F Morcos, S Chatterjee, CL McClendon, PR Brenner, R López-Rendón, ... PLoS computational biology 6 (12), e1001015, 2010 | 88 | 2010 |
| The chaos within Sudoku M Ercsey-Ravasz, Z Toroczkai Scientific reports 2 (1), 725, 2012 | 73 | 2012 |
| Spiral cracks without twisting KT Leung, L Jozsa, M Ravasz, Z Neda Nature 410 (6825), 166-166, 2001 | 64 | 2001 |
| Range-limited centrality measures in complex networks M Ercsey-Ravasz, RN Lichtenwalter, NV Chawla, Z Toroczkai Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 85 (6 …, 2012 | 59 | 2012 |
| Centrality scaling in large networks M Ercsey-Ravasz, Z Toroczkai Physical review letters 105 (3), 038701, 2010 | 57 | 2010 |
| Efficient analog circuits for boolean satisfiability X Yin, B Sedighi, M Varga, M Ercsey-Ravasz, Z Toroczkai, XS Hu IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (1), 155-167, 2017 | 51 | 2017 |
| A continuous-time MaxSAT solver with high analog performance B Molnár, F Molnár, M Varga, Z Toroczkai, M Ercsey-Ravasz Nature communications 9 (1), 4864, 2018 | 48 | 2018 |
| A multiscale cerebral neurochemical connectome of the rat brain HR Noori, J Schöttler, M Ercsey-Ravasz, A Cosa-Linan, M Varga, ... PLoS biology 15 (7), e2002612, 2017 | 48 | 2017 |
| The fractal brain: scale-invariance in structure and dynamics GF Grosu, AV Hopp, VV Moca, H Bârzan, A Ciuparu, M Ercsey-Ravasz, ... Cerebral Cortex 33 (8), 4574-4605, 2023 | 40 | 2023 |
