| Permutation complexity in dynamical systems: ordinal patterns, permutation entropy and all that J Amigó Springer Science & Business Media, 2010 | 292 | 2010 |
| True and false forbidden patterns in deterministic and random dynamics JM Amigó, S Zambrano, MAF Sanjuán Europhysics Letters 79 (5), 50001, 2007 | 208 | 2007 |
| Theory and practice of chaotic cryptography JM Amigo, L Kocarev, S J Physics Letters A 366 (3), 211-216, 2007 | 206 | 2007 |
| A brief review of generalized entropies JM Amigó, SG Balogh, S Hernández Entropy 20 (11), 813, 2018 | 177 | 2018 |
| Estimating the entropy rate of spike trains via Lempel-Ziv complexity JM Amigó, J Szczepański, E Wajnryb, MV Sanchez-Vives Neural Computation 16 (4), 717-736, 2004 | 170 | 2004 |
| Discrete chaos-i: Theory L Kocarev, J Szczepanski, JM Amigó, I Tomovski IEEE Transactions on Circuits and Systems I: Regular Papers 53 (6), 1300-1309, 2006 | 132 | 2006 |
| Combinatorial detection of determinism in noisy time series JM Amigó, S Zambrano, MAF Sanjuán EPL (Europhysics Letters) 83 (6), 60005, 2008 | 124 | 2008 |
| Order patterns and chaos JM Amigó, L Kocarev, J Szczepanski Physics Letters A 355 (1), 27-31, 2006 | 118 | 2006 |
| The permutation entropy rate equals the metric entropy rate for ergodic information sources and ergodic dynamical systems JM Amigó, MB Kennel, L Kocarev Physica D: Nonlinear Phenomena 210 (1-2), 77-95, 2005 | 115 | 2005 |
| A connection between chaotic and conventional cryptography G Millérioux, JM Amigó, J Daafouz IEEE Transactions on Circuits and Systems I: Regular Papers 55 (6), 1695-1703, 2008 | 90 | 2008 |
| Lessons learnt from the cryptanalysis of chaos-based ciphers G Alvarez, JM Amigó, D Arroyo, S Li Chaos-Based Cryptography: Theory, Algorithms and Applications, 257-295, 2011 | 88 | 2011 |
| Ordinal symbolic analysis and its application to biomedical recordings JM Amigó, K Keller, VA Unakafova Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2015 | 87 | 2015 |
| Application of Lempel–Ziv complexity to the analysis of neural discharges J Szczepański, JM Amigó, E Wajnryb, MV Sánchez-Vives Network: Computation in Neural Systems 14 (2), 335, 2003 | 87 | 2003 |
| A perspective on multiple waves of influenza pandemics A Mummert, H Weiss, LP Long, JM Amigó, XF Wan PloS one 8 (4), e60343, 2013 | 78 | 2013 |
| Forbidden patterns and shift systems JM Amigó, S Elizalde, MB Kennel Journal of Combinatorial Theory, Series A 115 (3), 485-504, 2008 | 65 | 2008 |
| Topological permutation entropy JM Amigó, MB Kennel Physica D: Nonlinear Phenomena 231 (2), 137-142, 2007 | 58 | 2007 |
| Biometric random number generators J Szczepanski, E Wajnryb, JM Amigó, MV Sanchez-Vives, M Slater Computers & Security 23 (1), 77-84, 2004 | 58 | 2004 |
| Discrete entropy JM Amigó, L Kocarev, I Tomovski Physica D: Nonlinear Phenomena 228 (1), 77-85, 2007 | 56 | 2007 |
| Transcripts: An algebraic approach to coupled time series JM Amigó, R Monetti, T Aschenbrenner, W Bunk Chaos: An Interdisciplinary Journal of Nonlinear Science 22 (1), 2012 | 54 | 2012 |
| Attention mechanisms and their applications to complex systems A Hernández, JM Amigó Entropy 23 (3), 283, 2021 | 53 | 2021 |
Janusz SzczepanskiProfessor of the Institute of Fundamental Technological Research Polish Academy of SciencesZweryfikowany adres z ippt.pan.pl
