Vasileios Karakostas

Prof. Dr. Vasileios Karakostas

Geophysics Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2004 in Pure and Applied Geophysics
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Journal Article
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Eleftheria PapadimitriouEleftheria Papadimitriou
Eleftheria Papadimitriou
XWXueze Wen
Xueze Wen
Vasileios KarakostasVasileios Karakostas
Vasileios Karakostas
XJXueshen Jin
Xueshen Jin

30 September 2013 in Bulletin of the Seismological Society of America
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KLKonstantinos M. Leptokaropoulos
Konstantinos M. Leptokaropoulos
Vasileios KarakostasVasileios Karakostas
Vasileios Karakostas
Eleftheria PapadimitriouEleftheria Papadimitriou
Eleftheria Papadimitriou
AAAggeliki K. Adamaki
Aggeliki K. Adamaki
OTOnur Tan
Onur Tan
SISedat İnan
Sedat İnan
A catalog for earthquakes that occurred in western Turkey during the period 1964–2010 is compiled for achieving homogeneity for magnitudes. Data are obtained from the International Seismological Center (ISC), where earthquake magnitudes are reported in different scales and come from a variety of sources. For establishing a common magnitude expression, namely an equivalent moment magnitude , new relations correlating the different magnitude scales with each other are derived from converting as many as possible of the magnitudes reported in the ISC bulletins. After magnitude conversions, the completeness magnitude Mc is sought by modifying the goodness‐of‐fit method of Wiemer and Wyss (2000) to become more appropriate for datasets with smaller sample size and higher Mc thresholds. The study region is divided into four smaller regions on the basis of spatial data homogeneity, while different periods of similar seismic network performance are recognized and tested to seek spatiotemporal variation of Mc. The results derived in each case are compared with those yielded by the application of both the original goodness‐of‐fit and maximum curvature methods and are found to be quite similar, although there are still cases with a difference exceeding 0.3 magnitude units. The goodness‐of‐fit method is very sensitive in the selection of the desirable percentage of fitting a power law (90% or 95%), whereas the proposed modification makes it independent of this level selection, and performing better especially for datasets that include events before 1990, when higher completeness magnitudes are evident.


27 March 2008 in Acta Geophysica
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Eleftheria PapadimitriouEleftheria Papadimitriou
Eleftheria Papadimitriou
Vasileios KarakostasVasileios Karakostas
Vasileios Karakostas


10 March 2010 in Pure and Applied Geophysics
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Journal Article
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PPP. M. Paradisopoulou
P. M. Paradisopoulou
Eleftheria PapadimitriouEleftheria Papadimitriou
Eleftheria Papadimitriou
Vasileios KarakostasVasileios Karakostas
Vasileios Karakostas
TTTuncay Taymaz
Tuncay Taymaz
Adamantios A. KiliasAdamantios A. Kilias
Adamantios A. Kilias
SYS. Yolsal
S. Yolsal