• Scientific articles
• Studies published in conference proceedings
• Book chapters
• Popularization

Scientific articles

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  D. Deritei, M. Ercsey-Ravasz, W. Aird, E. Ravasz Regan, “Principles of dynamical modularity in biological regulatory networks”, Scientific Reports, accepted, 2016

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  Y. Ren, M. Ercsey-Ravasz, P. Wang, M.C. Gonzalez, Z. Toroczkai, “Predicting commuter flows in spatial networks using a radiation model based on temporal ranges”, Nature Communications, vol. 5, 5347, 2014. IF:  10.742, Hivatkozások: 2

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  D. Deritei, Zs. Lazar, I. Papp, F. Jarai-Szabo, R. Sumi, L. Varga, ER Regan, M. Ercsey-Ravasz, “Community detection by graph Voronoi diagrams”, New Journal of Physics, vol. 16, 063007, 2014. IF: 3.671, Hivatkozások: 1

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  N.T. Markov, M. Ercsey-Ravasz, MA. Gariel, AR. Ribiero Gomes, C.Lamy, J. Vezoli, P. Misery, A. Falchier, R. Quilodran, J. Sallet, R. Gamanut, C. Huissoud, S. Clavagnier, P. Giroud, DS. Marinier, P. Barone, C. Dehay, Z. Toroczkai, K. Knoblauch, D. C. Van Essen, H. Kennedy, “A weighted and directed interareal connectivity matrix for macaque cerebral cortex”, Cerebral Cortex, vol. 24, pp. 17-36, 2014. IF: 8.305, Hivatkozások: 56

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  R. Sumi, B. Molnar, M. Ercsey-Ravasz, “Robust optimization with transiently chaotic dynamical systems”, Europhyics Letters, vol. 106, 40002, 2014. IF: 2.269, Hivatkozások: 2

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  B. Molnár, M. Ercsey-Ravasz, „Asymmetric Continuous-Time Neural Networks without Local Traps for Solving Constraint Satisfaction Problems”, PloS One, 8(9), e73400, pp. 1-13, 2013. IF: 3.534, Hivatkozások: 3

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  M. Ercsey-Ravasz, N.T. Markov, C. Lamy, D.C. Van Essen, K. Knoblauch, Z. Toroczkai, H. Kennedy, “A predictive network model of cerebral cortical connectivity based on a distance rule.” Neuron, vol. 80, pp. 184-197, 2013. IF: 15.982, Hivatkozások: 30

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  N.T. Markov, M. Ercsey-Ravasz, C. Lamy, AR. Gomes, L. Magrou, P. Misery, P. Giroud, P. Barone, C. Dehay, Z. Toroczkai, K. Knoblauch, D.C. Van Essen, H. Kennedy. "The role of long-range connections on the specificity of the macaque interareal cortical network" PNAS, vol. 110, pp. 5187-5192, 2013. IF: 9.809, Hivatkozások: 33

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  N.T. Markov, M. Ercsey-Ravasz, D.C. Van Essen, K. Knoblauch, Z. Toroczkai, H. Kennedy, "Cortical High-density Counterstream Architectures", Science,  vol. 342, pp. 1238406:1-15, 2013. IF: 31.477, Hivatkozások: 54

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  M. Ercsey-Ravasz, R. Lichtenwalter, N.V. Chawla, Z. Toroczkai, „Range-limited Centrality Measures in Weighted and Non-weighted Complex Networks”, Physical Review E, vol. 85, 066103, pp. 1-14, 2012 IF: 2.326, Hivatkozások: 10

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  M. Ercsey-Ravasz, Z. Toroczkai, Z. Lakner, J. Baranyi, „Complexity of the international agro-food trade network and its impact on food safety”, PloS One, 7(5), e37810, pp. 1-7, 2012. IF: 3.534, Hivatkozások: 22

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  M. Ercsey-Ravasz, Z. Toroczkai, „The Chaos Within Sudoku”, Scientific Reports, 2, pp. 755-762, 2012. IF: 5.078, Hivatkozások: 5

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  N.T. Markov, P. Misery, A. Falchier, C. Lamy, J. Vezoli, R. Quilodran, P. Giroud, M.A. Gariel, M. Ercsey-Ravasz, L.J. Pilaz, C. Huissoud, P. Barone, C. Dehay, Z. Toroczkai, D.C. Van Essen, H. Kennedy, K. Knoblauch. “Weight consistency specifies regularities of macaque cortical network” Cerebral Cortex, vol. 21(6), 1254-1272, 2011. IF: 8.305, Hivatkozások: 85

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  M. Ercsey-Ravasz, Z. Toroczkai, „Optimization hardness as transient chaos in an analog approach to constraint satisfaction”, Nature Physics, vol. 7, pp. 966-971, 2011. IF: 20.603, Hivatkozások: 14

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  F. Morcos, S. Chatterjee, C. L. McClendon, P.R. Brenner, R. Lopez-Rendon, J. Zintsmaster, M. Ercsey-Ravasz, C. R. Sweet, M.P. Jacobson, J.W. Peng, J. A. Izaguirre, “Modelling conformational ensembles of slow functional motions in Pin1-WW”, PLoS Computational Biology 6, e1001015, pp. 1-13, 2010. IF: 4.829, Hivatkozások: 28

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  M. Ercsey-Ravasz, Z. Toroczkai, „Centrality scaling in large networks”, Physical Review Letters, vol. 105, 038701, pp. 1-14, 2010. IF: 7.728, Hivatkozások: 14

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  M. Ercsey-Ravasz, T. Roska, Z. Néda, „Cellular Neural Networks for NP-hard optimization”, EURASIP Journal on Advances in Signal Processing, Special issue: CNN Technology for Spatio-temporal Signal Processing, doi: 10.1155/2009/646975, pp. 1-7, 2009. IF: 0.808, Hivatkozások: 1

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  Z. Néda, R. Sumi, M. Ercsey-Ravasz, M. Varga, B. Molnar, Gy. Cseh, „Correlation clustering on networks”, J. of Physics A: Mathematical and Theoretical, vol. 42, 345003, pp. 1-15, 2009. IF: 1.687, Hivatkozások: 2

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  M. Ercsey-Ravasz, T. Roska, Z. Néda, „Analogic Cellular Computers – A New Computational Paradigm” (in Hungarian), Technical Review, vol. 42, pp. 19-25, 2008.

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  M. Ercsey-Ravasz, T. Roska, Z. Néda, „Statistical Physics on Cellular Neural Network Computers”, Physica D: Nonlinear Phenomena, Special Issue: „Unconventional computing: Quo vadis?”, vol. 237, no.9, pp. 1226-1234, 2008. IF: 1.829, Hivatkozások: 4

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  M. Ercsey-Ravasz, T. Roska, Z. Néda, „Stochastic optimization of spin-glasses on cellular neural/nonlinear network based processors”, Physica A: Statistical mechanics and its Applications”, vol. 388, pp. 1024-1030, 2008. IF: 1.722, Hivatkozások: 2

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  Z. Néda, M. Ravasz, R. Florian, A. Libál, G. Györgyi, „Clustering Formation and Phase Transition in Frustrated Networks” (in Hungarian), Technical Review, vol. 42, pp. 3-8, 2008

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  Ercsey-Ravasz, M., Sárközi, Zs., Néda, Z., Tunyagi, A., Burda, I.: Collective behavior of electronic fireflies. - European Journal of Physics B 65: 271-277, 2008. IF: 1,568

  [külső hivatkozás]
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  M. Ercsey-Ravasz, T. Roska, Z. Néda, „Stochastic simulations on the cellular wave computers”, European Physical Journal B, vol. 51., no. 3, pp. 407-412, 2006. IF: 1.463, Hivatkozások: 7

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  Ercsey-Ravasz, M., Roska, T., Néda, Z.: Perspectives for Monte Carlo simulations on the CNN Universal Machine. — Int. J. of Modern Physics C 17: 909-923, 2006. IF: 0,92

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  Néda, Z., Florian, R.V., Ravasz, M., Libál, A., Györgyi, G.: Phase transition in an optimal clusterization model. — Physica A 362: 357-368, 2006. IF: 1,311.

  [pdf, 250.3k]
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  A. Szolnoki, G. Szabó, M. Ravasz, “Three-state Potts model in combination with the rock-scissors-paper game”, Physical Review E, vol. 71, 027102, pp. 1-4, 2005. IF: 2.326, Hivatkozások: 11

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  Néda, Z., Ravasz, M., Balog, A., Derzsi, A.: The species abundances distribution in a neutral community model. — Studia Universitatis Babes-Bolyai, Physica L2: 63-79, 2005

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  M. Ravasz, Gy. Szabó, A. Szolnoki, "Spreading of families in cyclic predator-prey models", Physical Review E, vol. 70, 012901, pp.1-4, 2004. IF: 2.326, Hivatkozások: 11

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  Z. Néda, K.-t. Leung, L. Józsa, M. Ravasz, "Spiral cracks in drying precipitates", Physical Review Letters, vol. 88, 095502, pp. 1-4, 2002., IF: 7.728, Citations: 43

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  K.-t. Leung, L. Józsa , M. Ravasz, Z. Néda, "Spiral cracks without twisting", Nature, vol. 410, pp. 166, 2001, IF: 42.351, Hivatkozások: 29

Studies published in conference proceedings

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  B. Molnar, M. Ercsey-Ravasz, “Analog dynamics for solving max-SAT problems”, Proc. of the 14th IEEE Int. Conf. on Cellular Nanoscale Networks and their Applications, PID3320591, Notre Dame, IN, USA, August 2014.

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  B. Molnar, R. Sumi, M. Ercsey-Ravasz, “A CNN SAT-solver robust to noise”, Proc. of the 14th IEEE Int. Conf. on Cellular Nanoscale Networks and their Applications, PID3320585, Notre Dame, IN, USA, August 2014.

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  K. Knoblauch, M. Ercsey-Ravasz, H. kennedy, Z. Toroczkai, “The Brain in Space”, Proc. of IPSEN, Paris, May 2014.

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  I. Papp, M. Ercsey-Ravasz, D. Deritei, R. Sumi, F. Jarai-Szabo, R.V. Florian, A.I. Cabuz, Zs.I. Lazar, “The P-index: Hirsch index of individual publications” Proc. of the International Sociey of Scientometrics and Informetrics Conference, ISSI2013, pp. 2086-2088, Vienna, Austria, July 2013.

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  B. Molnar, Z. Toroczkai, M. Ercsey-Ravasz, “Continuous-tiime neural networks without local traps for solving Boolean satisfiability”, Proc. of the 13th IEEE Int. Conf. on Cellular Nanoscale Networks and their Applications, Torino, Italy, 4012, pp. 1-6, August 2012.

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  N. Markov, M. Ercsey-Ravasz, C. Dehay, P. Barone, D. Sappey-Marinier, P. Misery, C. Lamy, P. Giroud, J. Sallet, S. Clavagnier, C. Huissoud, A. Falchier, R. Quilodran, J. Vezoli, M. Gariel, H. Kennedy, K. Knoblauch, Z. Toroczkai, "Principles of inter-areal connections of the macaque cortex", NeuroComp 2010, pp. 258-263, October 2010.

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  M. Ercsey-Ravasz, T. Roska, Z. Néda, „Random number generator and Monte carlo type simulations on the CNN-UM”, Proc. of the 10th IEEE Int. Conf. on Cellular Neural Networks and their Applications, (Istanbul, Turkey),  pp. 47-52, August 2006.

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  Ercsey-Ravasz, M., Roska, T., Néda, Z. (2006): Random number generator and Monte Carlo type simulations on the CNN-UM. — CNNA 2006 proceedings of the 10th IEEE International workshop on Cellular Neural Networks and their applications, Istanbul, Törökország, pp. 47-52.

Book chapters

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  Ercsey-Ravasz Ferenc, Ercsey-Ravasz Mária: Stílusokat jellemző dallami és ritmusmintázatok a zenében (Melodic and rhythmic patterns describing musical style). In: Veress Károly (ed.): Ritmus és ismétlés. Interdiszciplináris párbeszéd 3. (Rhythms and Repetition. Interdisciplinary dialogues 3) Bolyai Társaság–Egyetemi Műhely Kiadó, Kolozsvár, 2015. 9–20. o.

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  M. Ercsey-Ravasz, Z. Toroczkai, ”Döntések fizikája és rejtvények káosza” (”Physics of decision making and chaos of puzzles”) in A fizika, matematika ́es művészet találkozása az oktatásban, kutatásban (Physics, mathematics and arts in education and research), Ed.: A. Juhász, T. Tél, Publisher: Science Department of the Eötvös Lóránd University, Hungary, 2013.

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  N.T. Markov, M. Ercsey-Ravasz, M.-A. Gariel, C. Dehay, K. Knoblauch, Z. Toroczkai, H. Kennedy. “The tribal networks of the cerebral cortex”. In: Cerebral Plasticity, eds: L.M. Chalupa, N. Berardi, M. Caleo, L. Galli-Resta, T. Pizzorusso, MIT Press, Cambridge MA, 2011.

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  T. Roska, L. Belády, M. Ercsey-Ravasz, „Cellular Wave Computing in Nanoscale via Million Processor Chips”. In: Cellular Nanoscale Sensory Wave Computing, eds: C. Baatar, W. Porod, T. Roska. Springer, New York,  2010. 

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  Z. Néda, M. Ravasz, R. Florian, A. Libál, „Phase transition in optimal clusterization” (in Hungarian), Modern studies in experimental and theoretical physics, Scientia, Cluj-Napoca, 2003.

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  Ravasz, M., Néda, Z. (2003): Anizotróp felületen száradó szemcsés anyagok töredezései. in: Nagy, L. (ed.): Korszerű kísérleti és elméleti fizikatanulmányok. Scientia Press Sapientia Books 20., Life Sciences series, Cluj-Napoca, Romania, pp. 159-182.

  [pdf, 1438.4k]

Popularization

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  M. Ercsey-Ravasz, Z. Toroczkai, "A donteshozatal es a Sudoku kaosza" ("The Chaos Within Sudoku and Decision Making"), Termeszet Vilaga (World of Nature), invited paper in the special issue "Kaosz, Kornyezet, Komplexitas" ("Chaos, Environment, Complexity"), Budapest, Hungary, p. 122, 2013