22 citations as recorded by crossref.

1. Statistical Mechanics and Information-Theoretic Perspectives on Complexity in the Earth System G. Balasis et al. https://doi.org/10.3390/e15114844
2. The Earth as a living planet: human-type diseases in the earthquake preparation process Y. Contoyiannis et al. https://doi.org/10.5194/nhess-13-125-2013
3. Recent Field Observations Indicating an Earth System in Critical Condition Before the Occurrence of a Significant Earthquake S. Potirakis et al. https://doi.org/10.1109/LGRS.2014.2354374
4. Spectral Analysis and Information Entropy Approaches to Data of VLF Disturbances in the Waveguide Earth-Ionosphere Y. Rapoport et al. https://doi.org/10.3390/s22218191
5. Dynamical analogy between economical crisis and earthquake dynamics within the nonextensive statistical mechanics framework S. Potirakis et al. https://doi.org/10.1016/j.physa.2013.03.006
6. Earthquake precursory signatures in electromagnetic radiation measurements in terms of day-to-day fractal spectral exponent variation: analysis of the eastern Aegean 13/04/2017–20/07/2017 seismic activity D. Cantzos et al. https://doi.org/10.1007/s10950-018-9781-6
7. Multi-spectral detection of statistically significant components in pre-seismic electromagnetic emissions related with Athens 1999, M=5.9 earthquake A. Kalimeris et al. https://doi.org/10.1016/j.jappgeo.2016.03.002
8. Investigation on the statistical characteristics of geoelectric field seismic anomalies in the North–South seismic belt of Chinese mainland H. Ze-Yu et al. https://doi.org/10.1007/s11600-021-00661-y
9. Differentiating between artificial and natural sources of electromagnetic radiation at a seismogenic fault I. Baroň et al. https://doi.org/10.1016/j.enggeo.2022.106912
10. Recent seismic activity at Cephalonia (Greece): a study through candidate electromagnetic precursors in terms of non-linear dynamics S. Potirakis et al. https://doi.org/10.5194/npg-23-223-2016
11. Natural time analysis of critical phenomena: The case of pre-fracture electromagnetic emissions S. Potirakis et al. https://doi.org/10.1063/1.4807908
12. Shifting Correlation Between Earthquakes and Electromagnetic Signals: A Case Study of the 2013 Minxian–Zhangxian M L 6.5 (M W 6.1) Earthquake in Gansu, China F. Jiang et al. https://doi.org/10.1007/s00024-015-1055-4
13. Fracture Electromagnetic Radiation Induced by a Seismic Active Zone (in the Vicinity of Eilat City, Southern Israel) V. Frid et al. https://doi.org/10.3390/rs15143639
14. Subduction as a Smoothing Machine: How Multiscale Dissipation Relates Precursor Signals to Fault Geometry P. Venegas-Aravena & E. Cordaro https://doi.org/10.3390/geosciences13080243
15. Temporal correlation patterns in pre-seismic electromagnetic emissions reveal distinct complexity profiles prior to major earthquakes R. Donner et al. https://doi.org/10.1016/j.pce.2015.03.008
16. Tricritical crossover in earthquake preparation by analyzing preseismic electromagnetic emissions Y. Contoyiannis et al. https://doi.org/10.1016/j.jog.2014.09.015
17. Quantification of principal horizontal stresses inside a tunnel: An application of Fracture induced Electromagnetic Radiation (FEMR) technique in the Darjeeling-Sikkim Himalayas S. Das et al. https://doi.org/10.1016/j.enggeo.2020.105882
18. Efficiency of Multi-Terminators Method to Reveal Seismic Precursors in Sub-Ionospheric VLF Transmitter Signals: Case Study of Turkey–Syria Earthquakes Mw7.8 of 6 February 2023 M. Boudjada et al. https://doi.org/10.3390/geosciences15070245
19. Current challenges for pre-earthquake electromagnetic emissions: shedding light from micro-scale plastic flow, granular packings, phase transitions and self-affinity notion of fracture process K. Eftaxias & S. Potirakis https://doi.org/10.5194/npg-20-771-2013
20. Sudden drop of fractal dimension of electromagnetic emissions recorded prior to significant earthquake S. Potirakis et al. https://doi.org/10.1007/s11069-012-0262-x
21. On the puzzling feature of the silence of precursory electromagnetic emissions K. Eftaxias et al. https://doi.org/10.5194/nhess-13-2381-2013
22. MaxEnt SeismoSense Model: Ionospheric Earthquake Anomaly Detection Based on the Maximum Entropy Principle L. Wang et al. https://doi.org/10.3390/atmos15040419