Mark V. Matthews

1.5k total citations
11 papers, 1.2k citations indexed

About

Mark V. Matthews is a scholar working on Geophysics, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Mark V. Matthews has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Geophysics, 4 papers in Artificial Intelligence and 2 papers in Economics and Econometrics. Recurrent topics in Mark V. Matthews's work include earthquake and tectonic studies (11 papers), Earthquake Detection and Analysis (6 papers) and Seismology and Earthquake Studies (4 papers). Mark V. Matthews is often cited by papers focused on earthquake and tectonic studies (11 papers), Earthquake Detection and Analysis (6 papers) and Seismology and Earthquake Studies (4 papers). Mark V. Matthews collaborates with scholars based in United States and Italy. Mark V. Matthews's co-authors include P. Segall, Paul A. Reasenberg, William L. Ellsworth, R. M. Nadeau, Stuart P. Nishenko, Robert W. Simpson, Roland Bürgmann, K. R. Anderson, Taiyi Wang and D. R. Shelly and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Nature Geoscience and Bulletin of the Seismological Society of America.

In The Last Decade

Mark V. Matthews

11 papers receiving 1.0k citations

Peers

Mark V. Matthews

GEOPH

AI

CSE

AE

EE

V. Karakostas Greece

G. A. Papadopoulos Greece

Scott D. Davis United States

R. B. S. Yadav India

Rodolfo Console Italy

Abhey Ram Bansal India

Yun-Tai Chen China

K. R. Felzer United States

Fred W. Klein United States

Stewart W. Smith United States

V. Karakostas Greece

Mark V. Matthews

1.2k ×1.1

GEOPH

215 ×0.7

AI

103 ×0.8

CSE

31 ×0.5

AE

28 ×0.5

EE

Citations per year, relative to Mark V. Matthews Mark V. Matthews (= 1×) peers V. Karakostas

Countries citing papers authored by Mark V. Matthews

Since Specialization

Citations

This map shows the geographic impact of Mark V. Matthews'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 Mark V. Matthews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark V. Matthews more than expected).

Fields of papers citing papers by Mark V. Matthews

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark V. Matthews. 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 Mark V. Matthews. The network helps show where Mark V. Matthews may publish in the future.

Co-authorship network of co-authors of Mark V. Matthews

This figure shows the co-authorship network connecting the top 25 collaborators of Mark V. Matthews. A scholar is included among the top collaborators of Mark V. Matthews 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 Mark V. Matthews. Mark V. Matthews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Segall, P., Mark V. Matthews, D. R. Shelly, Taiyi Wang, & K. R. Anderson. (2024). Stress-driven recurrence and precursory moment-rate surge in caldera collapse earthquakes. Nature Geoscience. 17(3). 264–269. 4 indexed citations

2.

Matthews, Mark V.. (2002). A Brownian Model for Recurrent Earthquakes. Bulletin of the Seismological Society of America. 92(6). 2233–2250. 332 indexed citations

3.

Segall, P., Roland Bürgmann, & Mark V. Matthews. (2000). Time‐dependent triggered afterslip following the 1989 Loma Prieta earthquake. Journal of Geophysical Research Atmospheres. 105(B3). 5615–5634. 70 indexed citations

4.

Ellsworth, William L., Mark V. Matthews, R. M. Nadeau, et al.. (1999). A physically-based earthquake recurrence model for estimation of long-term earthquake probabilities. Antarctica A Keystone in a Changing World. 155 indexed citations

5.

Segall, P. & Mark V. Matthews. (1997). Time dependent inversion of geodetic data. Journal of Geophysical Research Atmospheres. 102(B10). 22391–22409. 154 indexed citations

6.

Matthews, Mark V. & P. Segall. (1993). Estimation of depth‐dependent fault slip from measured surface deformation with application to the 1906 San Francisco Earthquake. Journal of Geophysical Research Atmospheres. 98(B7). 12153–12163. 80 indexed citations

7.

Segall, P., et al.. (1992). Resolving the discrepancy between geodetic and seismic fault models for the 1989 Loma Prieta, California, earthquake. Bulletin of the Seismological Society of America. 82(5). 2248–2255. 41 indexed citations

8.

Segall, P. & Mark V. Matthews. (1988). Displacement calculations from geodetic data and the testing of geophysical deformation models. Journal of Geophysical Research Atmospheres. 93(B12). 14954–14966. 60 indexed citations

9.

Matthews, Mark V. & Paul A. Reasenberg. (1988). Statistical methods for investigating quiescence and other temporal seismicity patterns. Pure and Applied Geophysics. 126(2-4). 357–372. 170 indexed citations

10.

Reasenberg, Paul A. & Mark V. Matthews. (1988). Precursory seismic quiescence: A preliminary assessment of the hypothesis. Pure and Applied Geophysics. 126(2-4). 373–406. 74 indexed citations

11.

Matthews, Mark V. & Paul A. Reasenberg. (1987). Comment on Habermann's Method for detecting seismicity rate changes. Journal of Geophysical Research Atmospheres. 92(B9). 9443–9445. 24 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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