M. T. Page

3.5k total citations · 1 hit paper
61 papers, 2.4k citations indexed

About

M. T. Page is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, M. T. Page has authored 61 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Geophysics, 35 papers in Artificial Intelligence and 5 papers in Civil and Structural Engineering. Recurrent topics in M. T. Page's work include earthquake and tectonic studies (52 papers), Seismology and Earthquake Studies (32 papers) and Earthquake Detection and Analysis (23 papers). M. T. Page is often cited by papers focused on earthquake and tectonic studies (52 papers), Seismology and Earthquake Studies (32 papers) and Earthquake Detection and Analysis (23 papers). M. T. Page collaborates with scholars based in United States, United Kingdom and Germany. M. T. Page's co-authors include N. van der Elst, Edward H. Field, Kevin R. Milner, Andrew J. Michael, S. E. Hough, K. R. Felzer, T. H. Jordan, Peter M. Powers, Ralph J. Archuleta and Tom Parsons and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

M. T. Page

59 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Uniform California Earthquake Rupture Forecast, Version 3 (UCERF3)--The Time-Independent Model

2014 458 citations Edward H. Field, R. Arrowsmith et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. T. Page United States	24	2.1k	858	400	112	85	61	2.4k
Daniel E. McNamara United States	29	2.6k 1.2×	573 0.7×	397 1.0×	227 2.0×	152 1.8×	67	3.0k
Matthew C. Gerstenberger New Zealand	25	2.3k 1.1×	1.0k 1.2×	514 1.3×	217 1.9×	102 1.2×	85	2.7k
J. Woessner Switzerland	23	2.9k 1.4×	877 1.0×	492 1.2×	58 0.5×	65 0.8×	38	3.2k
Kenneth S. Rukstales United States	15	1.6k 0.8×	410 0.5×	1.1k 2.7×	109 1.0×	125 1.5×	29	2.1k
Peter M. Powers United States	17	2.1k 1.0×	536 0.6×	795 2.0×	189 1.7×	138 1.6×	47	2.4k
Lucile M. Jones United States	34	4.4k 2.1×	1.3k 1.5×	406 1.0×	160 1.4×	145 1.7×	71	4.8k
Maximilian J. Werner United Kingdom	27	2.1k 1.0×	1.1k 1.3×	218 0.5×	45 0.4×	42 0.5×	90	2.3k
Kuo‐Fong Ma Taiwan	33	3.7k 1.7×	659 0.8×	463 1.2×	155 1.4×	156 1.8×	135	4.0k
Danijel Schorlemmer Germany	33	4.0k 1.9×	1.8k 2.0×	398 1.0×	72 0.6×	136 1.6×	103	4.4k
K. R. Felzer United States	18	2.4k 1.1×	746 0.9×	398 1.0×	106 0.9×	66 0.8×	32	2.6k

Countries citing papers authored by M. T. Page

Since Specialization

Citations

This map shows the geographic impact of M. T. Page'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 M. T. Page with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. T. Page more than expected).

Fields of papers citing papers by M. T. Page

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. T. Page. 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 M. T. Page. The network helps show where M. T. Page may publish in the future.

Co-authorship network of co-authors of M. T. Page

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

All Works

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20 of 20 papers shown

Saunders, J. K., S. E. Minson, A. Baltay, et al.. (2025). What 25+ Years of “Did You Feel It” Intensities Tell Us About Shaking in California. Seismological Research Letters. 96(4). 2625–2637.

Cochran, E. S., S. E. Minson, N. van der Elst, et al.. (2025). Mechanics and Statistics of Postseismic Shaking. Geophysical Research Letters. 52(18). 1 indexed citations

Schneider, Max, Anne Wein, Sara K. McBride, et al.. (2025). Meet the people where they are: Assessing user needs for aftershock forecast products in El Salvador, Mexico and the United States. International Journal of Disaster Risk Reduction. 125. 105450–105450. 1 indexed citations

Page, M. T., N. van der Elst, & Sebastian Hainzl. (2024). Testing Rate-and-State Predictions of Aftershock Decay with Distance. Seismological Research Letters. 95(6). 3376–3386. 1 indexed citations

Hainzl, Sebastian, M. T. Page, & N. van der Elst. (2024). Onset of Aftershocks: Constraints on the Rate-and-State Model. Seismological Research Letters. 95(6). 3507–3516. 2 indexed citations

Hough, S. E., J. L. Blair, Robert Graves, et al.. (2023). Modern Products for a Vintage Event: An Update on the 1933 Long Beach, California, Earthquake. SHILAP Revista de lepidopterología. 3(2). 171–181. 1 indexed citations

Black, Bryan A., Charlotte Pearson, Patrick T. Pringle, et al.. (2023). A multifault earthquake threat for the Seattle metropolitan region revealed by mass tree mortality. Science Advances. 9(39). eadh4973–eadh4973. 14 indexed citations

Cochran, E. S., M. T. Page, N. van der Elst, Zachary E. Ross, & Daniel T. Trugman. (2023). Fault Roughness at Seismogenic Depths and Links to Earthquake Behavior. SHILAP Revista de lepidopterología. 3(1). 37–47. 10 indexed citations

Hough, S. E., Eric M. Thompson, A. Baltay, et al.. (2019). Near-Field Ground Motions from the 2019 M6.4 and M7.1 Ridgecrest, California, Earthquakes: Subdued Shaking due to Pervasive Non-Linear Site Response?. AGU Fall Meeting Abstracts. 2019.

10.

Page, M. T. & N. van der Elst. (2018). Fault‐Tolerant b‐Values and Aftershock Productivity. Journal of Geophysical Research Solid Earth. 123(12). 4 indexed citations

11.

Field, Edward H., T. H. Jordan, M. T. Page, et al.. (2017). A Synoptic View of the Third Uniform California Earthquake Rupture Forecast (UCERF3). Seismological Research Letters. 88(5). 1259–1267. 88 indexed citations

12.

Field, Edward H., Jeanne L. Hardebeck, A. L. Llenos, et al.. (2016). Aftershock Forecasting: Recent Developments and Lessons from the 2016 M5.8 Pawnee, Oklahoma, Earthquake. AGU Fall Meeting Abstracts. 2016. 3 indexed citations

13.

Elst, N. van der, et al.. (2015). Induced earthquake magnitudes are as large as (statistically) expected. AGU Fall Meeting Abstracts. 2015. 3 indexed citations

14.

Field, Edward H., G. P. Biasi, Peter Bird, et al.. (2013). Uniform California earthquake rupture forecast, version 3 (UCERF3): the time-independent model. Antarctica A Keystone in a Changing World. 130 indexed citations

15.

Field, Edward H., R. Arrowsmith, G. P. Biasi, et al.. (2013). Overview of the Uniform California Earthquake Rupture Forecast Version 3 (UCERF3) Time-Independent Model. AGUFM. 2013. 1 indexed citations

16.

Page, M. T., S. E. Hough, & K. R. Felzer. (2012). Can current New Madrid seismicity be explained as a decaying aftershock sequence. AGU Fall Meeting Abstracts. 2012. 1 indexed citations

17.

Schorlemmer, Danijel, et al.. (2012). The Source Inversion Validation (SIV) Initiative: A Collaborative Study on Uncertainty Quantification in Earthquake Source Inversions. EGUGA. 8578. 1 indexed citations

18.

Ampuero, Jean‐Paul, et al.. (2011). Seismological evidence and dynamic model of reverse rupture propagation during the 2010 M7.2 El Mayor Cucapah earthquake. AGU Fall Meeting Abstracts. 2011. 3 indexed citations

19.

Page, M. T., et al.. (2010). Source Inversion Validation: Quantifying Uncertainties in Earthquake Source Inversions. AGU Fall Meeting Abstracts. 2010. 1 indexed citations

20.

Page, M. T., K. R. Felzer, Ray J. Weldon, & G. P. Biasi. (2008). The Magnitude-Frequency Distribution on the Southern San Andreas Fault Follows the Gutenberg-Richter Distribution. AGU Fall Meeting Abstracts. 2008. 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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