E. S. Skordas

5.6k total citations
122 papers, 4.2k citations indexed

About

E. S. Skordas is a scholar working on Geophysics, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, E. S. Skordas has authored 122 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Geophysics, 59 papers in Artificial Intelligence and 45 papers in Economics and Econometrics. Recurrent topics in E. S. Skordas's work include Earthquake Detection and Analysis (95 papers), Seismology and Earthquake Studies (59 papers) and Complex Systems and Time Series Analysis (45 papers). E. S. Skordas is often cited by papers focused on Earthquake Detection and Analysis (95 papers), Seismology and Earthquake Studies (59 papers) and Complex Systems and Time Series Analysis (45 papers). E. S. Skordas collaborates with scholars based in Greece, Japan and Mexico. E. S. Skordas's co-authors include N. V. Sarlis, P. Varotsos, M. Lazaridou, Haruo Tanaka, Masashi Kamogawa, Seiya Uyeda, Toshiyasu Nagao, Stavros‐Richard G. Christopoulos, Konstantina Papadopoulou and Sumiyoshi Abe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

E. S. Skordas

118 papers receiving 4.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. S. Skordas Greece 36 3.5k 2.0k 1.3k 417 200 122 4.2k
N. V. Sarlis Greece 38 4.0k 1.1× 2.4k 1.2× 1.5k 1.1× 474 1.1× 276 1.4× 173 5.0k
K. Eftaxias Greece 31 1.9k 0.5× 904 0.4× 650 0.5× 405 1.0× 65 0.3× 133 2.6k
V. I. Keilis‐Borok Russia 30 2.7k 0.8× 1.3k 0.6× 462 0.3× 150 0.4× 168 0.8× 93 3.4k
Francesco Mulargia Italy 28 2.7k 0.8× 763 0.4× 214 0.2× 56 0.1× 115 0.6× 126 3.4k
C. Godano Italy 23 1.2k 0.3× 492 0.2× 334 0.2× 182 0.4× 38 0.2× 82 1.6k
Masashi Kamogawa Japan 25 1.8k 0.5× 649 0.3× 176 0.1× 50 0.1× 128 0.6× 87 2.2k
R. Shcherbakov Canada 22 1.7k 0.5× 616 0.3× 204 0.2× 63 0.2× 72 0.4× 61 2.1k
Guy Ouillon Switzerland 22 1.0k 0.3× 426 0.2× 228 0.2× 99 0.2× 66 0.3× 41 1.6k
C. F. Richter United States 13 3.9k 1.1× 992 0.5× 216 0.2× 80 0.2× 69 0.3× 33 4.6k
Tokuji Utsu Japan 21 3.8k 1.1× 1.2k 0.6× 343 0.3× 70 0.2× 36 0.2× 44 4.2k

Countries citing papers authored by E. S. Skordas

Since Specialization
Citations

This map shows the geographic impact of E. S. Skordas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by E. S. Skordas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. S. Skordas more than expected).

Fields of papers citing papers by E. S. Skordas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. S. Skordas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by E. S. Skordas. The network helps show where E. S. Skordas may publish in the future.

Co-authorship network of co-authors of E. S. Skordas

This figure shows the co-authorship network connecting the top 25 collaborators of E. S. Skordas. A scholar is included among the top collaborators of E. S. Skordas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. S. Skordas. E. S. Skordas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Varotsos, P., N. V. Sarlis, E. S. Skordas, et al.. (2025). Twenty-Five Years After the Chi-Chi Earthquake in the Light of Natural Time Analysis. Geosciences. 15(6). 198–198.
2.
Sarlis, N. V., E. S. Skordas, & P. Varotsos. (2025). Recent Advances on the VAN Method. Applied Sciences. 15(19). 10516–10516.
3.
Sarlis, N. V., et al.. (2024). Identifying the Occurrence Time of the Destructive Kahramanmaraş-Gazientep Earthquake of Magnitude M7.8 in Turkey on 6 February 2023. Applied Sciences. 14(3). 1215–1215. 6 indexed citations
4.
Varotsos, P., E. S. Skordas, N. V. Sarlis, & Stavros‐Richard G. Christopoulos. (2024). Review of the Natural Time Analysis Method and Its Applications. Mathematics. 12(22). 3582–3582. 2 indexed citations
5.
Varotsos, P., N. V. Sarlis, E. S. Skordas, Toshiyasu Nagao, & Masashi Kamogawa. (2023). Natural time analysis together with non-extensive statistical mechanics shorten the time window of the impending 2011 Tohoku M9 earthquake in Japan. Communications in Nonlinear Science and Numerical Simulation. 125. 107370–107370. 8 indexed citations
6.
Varotsos, P., N. V. Sarlis, E. S. Skordas, et al.. (2023). Improving the Estimation of the Occurrence Time of an Impending Major Earthquake Using the Entropy Change of Seismicity in Natural Time Analysis. Geosciences. 13(8). 222–222. 8 indexed citations
7.
Varotsos, P., N. V. Sarlis, & E. S. Skordas. (2023). Natural Time Analysis: The New View of Time, Part II. 14 indexed citations
8.
Varotsos, P., N. V. Sarlis, & E. S. Skordas. (2022). Order Parameter and Entropy of Seismicity in Natural Time before Major Earthquakes: Recent Results. Geosciences. 12(6). 225–225. 13 indexed citations
9.
Varotsos, P., N. V. Sarlis, & E. S. Skordas. (2022). Thermodynamics of Point Defects in Solids and Relation with the Bulk Properties: Recent Results. Crystals. 12(5). 686–686. 14 indexed citations
10.
11.
12.
Peschos, Dimitrios, Giorgos Tatsis, Vasilis Christofilakis, et al.. (2020). Remote sensing natural time analysis of heartbeat data by means of a portable photoplethysmography device. International Journal of Remote Sensing. 42(6). 2292–2302. 11 indexed citations
13.
Flores-Márquez, Elsa Leticia, et al.. (2020). Natural Time Analysis of Seismicity within the Mexican Flat Slab before the M7.1 Earthquake on 19 September 2017. Entropy. 22(7). 730–730. 14 indexed citations
14.
Christopoulos, Stavros‐Richard G., E. S. Skordas, & N. V. Sarlis. (2020). On the Statistical Significance of the Variability Minima of the Order Parameter of Seismicity by Means of Event Coincidence Analysis. Applied Sciences. 10(2). 662–662. 17 indexed citations
15.
Sarlis, N. V. & E. S. Skordas. (2019). Interconnection of a thermodynamical model for point defect parameters in solids with the dynamical theory of diffusion. Solid State Ionics. 335. 82–85. 11 indexed citations
16.
Varotsos, P., N. V. Sarlis, & E. S. Skordas. (2019). Phenomena preceding major earthquakes interconnected through a physical model. Annales Geophysicae. 37(3). 315–324. 45 indexed citations
17.
Sarlis, N. V., Stavros‐Richard G. Christopoulos, & E. S. Skordas. (2015). Minima of the fluctuations of the order parameter of global seismicity. Chaos An Interdisciplinary Journal of Nonlinear Science. 25(6). 63110–63110. 15 indexed citations
18.
Varotsos, P., N. V. Sarlis, & E. S. Skordas. (2014). Study of the temporal correlations in the magnitude time series before major earthquakes in Japan. Journal of Geophysical Research Space Physics. 119(11). 9192–9206. 95 indexed citations
19.
Sarlis, N. V., E. S. Skordas, & P. Varotsos. (2010). Effect of significant data loss on identifying Seismic Electric Signals by using detrended fluctuation analysis in natural time. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
20.
Varotsos, P., et al.. (1999). A note on the extent of the SES sensitive area around Lamia (LAM), Greece. 47. 435–444. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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