| Synchronization of human autonomic nervous system rhythms with geomagnetic activity in human subjects R McCraty, M Atkinson, V Stolc, AA Alabdulgader, A Vainoras, ... International journal of environmental research and public health 14 (7), 770, 2017 | 136 | 2017 |
| Long-term study of heart rate variability responses to changes in the solar and geomagnetic environment A Alabdulgader, R McCraty, M Atkinson, Y Dobyns, A Vainoras, ... Scientific reports 8 (1), 2663, 2018 | 117 | 2018 |
| Fault diagnosis for rotating machinery: A method based on image processing C Lu, Y Wang, M Ragulskis, Y Cheng PloS one 11 (10), e0164111, 2016 | 115 | 2016 |
| Evolutionary algorithms for the selection of time lags for time series forecasting by fuzzy inference systems K Lukoseviciute, M Ragulskis Neurocomputing 73 (10-12), 2077-2088, 2010 | 74 | 2010 |
| Be careful with the Exp-function method–additional remarks Z Navickas, M Ragulskis, L Bikulciene Communications in Nonlinear Science and Numerical Simulation 15 (12), 3874-3886, 2010 | 67* | 2010 |
| Image hiding based on time-averaging moiré M Ragulskis, A Aleksa Optics Communications 282 (14), 2752-2759, 2009 | 62 | 2009 |
| A data-driven damage identification framework based on transmissibility function datasets and one-dimensional convolutional neural networks: Verification on a structural health … T Liu, H Xu, M Ragulskis, M Cao, W Ostachowicz Sensors 20 (4), 1059, 2020 | 58 | 2020 |
| Non-uniform attractor embedding for time series forecasting by fuzzy inference systems M Ragulskis, K Lukoseviciute Neurocomputing 72 (10-12), 2618-2626, 2009 | 55 | 2009 |
| Plotting holographic interferograms for visualization of dynamic results from finite‐element calculations M Ragulskis, A Palevicius, L Ragulskis International Journal for Numerical Methods in Engineering 56 (11), 1647-1659, 2003 | 43 | 2003 |
| Identification of a group’s physiological synchronization with earth’s magnetic field I Timofejeva, R McCraty, M Atkinson, R Joffe, A Vainoras, ... International journal of environmental research and public health 14 (9), 998, 2017 | 41 | 2017 |
| Short-term time series forecasting based on the identification of skeleton algebraic sequences M Ragulskis, K Lukoseviciute, Z Navickas, R Palivonaite Neurocomputing 74 (10), 1735-1747, 2011 | 41 | 2011 |
| Permutation entropy-based 2D feature extraction for bearing fault diagnosis M Landauskas, M Cao, M Ragulskis Nonlinear Dynamics 102 (3), 1717-1731, 2020 | 37 | 2020 |
| The rank of a sequence as an indicator of chaos in discrete nonlinear dynamical systems M Ragulskis, Z Navickas Communications in Nonlinear Science and Numerical Simulation 16 (7), 2894-2906, 2011 | 35* | 2011 |
| Generalization of Exp-function and other standard function methods Z Navickas, L Bikulciene, M Ragulskis Applied Mathematics and Computation 216 (8), 2380-2393, 2010 | 35 | 2010 |
| A new general fractional-order derivative with Rabotnov fractional-exponential kernel XJ Yang, M Ragulskis, T Tana Thermal science 23 (6B), 3711-3718, 2019 | 32 | 2019 |
| Short-term time series algebraic forecasting with internal smoothing R Palivonaite, M Ragulskis Neurocomputing 127, 161-171, 2014 | 32 | 2014 |
| Investigation of dynamic displacements of lithographic press rubber roller by time average geometric moiré M Ragulskis, R Maskeliunas, L Ragulskis, V Turla Optics and Lasers in Engineering 43 (9), 951-962, 2005 | 31 | 2005 |
| How far one can go with the Exp-function method? Z Navickas, M Ragulskis Applied Mathematics and Computation 211 (2), 522-530, 2009 | 29 | 2009 |
| Damage localization in irregular shape structures using intelligent FE model updating approach with a new hybrid objective function and social swarm algorithm NF Alkayem, M Cao, M Ragulskis Applied Soft Computing 83, 105604, 2019 | 26 | 2019 |
| Contrast enhancement of time-averaged fringes based on moving average mapping functions M Ragulskis, A Aleksa, R Maskeliunas Optics and Lasers in Engineering 47 (7-8), 768-773, 2009 | 26 | 2009 |
