State space reconstruction parameters in the analysis of chaotic time series—the role of the time window length D Kugiumtzis Physica D: Nonlinear Phenomena 95 (1), 13-28, 1996 | 497 | 1996 |
Clinical utility and prospective of TMS–EEG S Tremblay, NC Rogasch, I Premoli, DM Blumberger, S Casarotto, ... Clinical Neurophysiology 130 (5), 802-844, 2019 | 376 | 2019 |
Nonuniform state-space reconstruction and coupling detection I Vlachos, D Kugiumtzis Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 82 (1 …, 2010 | 221 | 2010 |
Regularized local linear prediction of chaotic time series D Kugiumtzis, OC Lingjærde, N Christophersen Physica D: Nonlinear Phenomena 112 (3-4), 344-360, 1998 | 175 | 1998 |
Test your surrogate data before you test for nonlinearity D Kugiumtzis Physical Review E 60 (3), 2808, 1999 | 170 | 1999 |
Direct-coupling information measure from nonuniform embedding D Kugiumtzis Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 87 (6 …, 2013 | 161 | 2013 |
Granger causality in multivariate time series using a time-ordered restricted vector autoregressive model E Siggiridou, D Kugiumtzis IEEE Transactions on Signal Processing 64 (7), 1759-1773, 2015 | 121 | 2015 |
Measures of analysis of time series (MATS): A MATLAB toolkit for computation of multiple measures on time series data bases D Kugiumtzis, A Tsimpiris arXiv preprint arXiv:1002.1940, 2010 | 112 | 2010 |
Chaotic time series: Part 1: estimation of some invariant properties in state space D Kugiumtzis, B Lillekjendlie, ND Christophersen Modeling, identification and control 15 (4), 205-224, 1994 | 109 | 1994 |
Simulation study of direct causality measures in multivariate time series A Papana, C Kyrtsou, D Kugiumtzis, C Diks Entropy 15 (7), 2635-2661, 2013 | 96 | 2013 |
Estimating the decomposition of predictive information in multivariate systems L Faes, D Kugiumtzis, G Nollo, F Jurysta, D Marinazzo Physical Review E 91 (3), 032904, 2015 | 92 | 2015 |
Transcranial magnetic stimulation (TMS) modulates epileptiform discharges in patients with frontal lobe epilepsy: a preliminary EEG-TMS study VK Kimiskidis, D Kugiumtzis, S Papagiannopoulos, N Vlaikidis International journal of neural systems 23 (01), 1250035, 2013 | 83 | 2013 |
Surrogate data test for nonlinearity including nonmonotonic transforms D Kugiumtzis Physical Review E 62 (1), R25, 2000 | 83 | 2000 |
Financial networks based on Granger causality: A case study A Papana, C Kyrtsou, D Kugiumtzis, C Diks Physica A: Statistical Mechanics and its Applications 482, 65-73, 2017 | 79 | 2017 |
Partial transfer entropy on rank vectors D Kugiumtzis The European Physical Journal Special Topics 222 (2), 401-420, 2013 | 76 | 2013 |
Evaluation of mutual information estimators for time series A Papana, D Kugiumtzis International Journal of Bifurcation and Chaos 19 (12), 4197-4215, 2009 | 75 | 2009 |
Chaotic time series part II: System identification and prediction B Lillekjendlie, D Kugiumtzis, N Christophersen arXiv preprint chao-dyn/9401003, 1994 | 74 | 1994 |
On the reliability of the surrogate data test for nonlinearity in the analysis of noisy time series D Kugiumtzis International Journal of Bifurcation and Chaos 11 (07), 1881-1896, 2001 | 73 | 2001 |
Detecting causality in non-stationary time series using partial symbolic transfer entropy: Evidence in financial data A Papana, C Kyrtsou, D Kugiumtzis, C Diks Computational economics 47, 341-365, 2016 | 72 | 2016 |
A prediction scheme using perceptually important points and dynamic time warping PE Tsinaslanidis, D Kugiumtzis Expert Systems with Applications 41 (15), 6848-6860, 2014 | 71 | 2014 |