Daniel T. Trugman

3.5k total citations · 2 hit papers
75 papers, 2.6k citations indexed

About

Daniel T. Trugman is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Daniel T. Trugman has authored 75 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Geophysics, 33 papers in Artificial Intelligence and 9 papers in Civil and Structural Engineering. Recurrent topics in Daniel T. Trugman's work include earthquake and tectonic studies (58 papers), Seismology and Earthquake Studies (32 papers) and Earthquake Detection and Analysis (30 papers). Daniel T. Trugman is often cited by papers focused on earthquake and tectonic studies (58 papers), Seismology and Earthquake Studies (32 papers) and Earthquake Detection and Analysis (30 papers). Daniel T. Trugman collaborates with scholars based in United States, China and Italy. Daniel T. Trugman's co-authors include Peter M. Shearer, Zachary E. Ross, E. S. Cochran, Egill Hauksson, Michael J. Bianco, Qingkai Kong, Peter Gerstoft, Brendan J. Meade, Rachel E. Abercrombie and Jonathan Smith and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Daniel T. Trugman

72 papers receiving 2.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Machine Learning in Seismology: Turning Data into Insights

2018 346 citations Daniel T. Trugman, Zachary E. Ross et al. Seismological Research Letters profile →
Searching for hidden earthquakes in Southern California

2019 252 citations Zachary E. Ross, Daniel T. Trugman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel T. Trugman United States	27	2.2k	1.1k	342	136	125	75	2.6k
Zachary E. Ross United States	31	3.5k 1.6×	2.0k 1.8×	230 0.7×	103 0.8×	225 1.8×	82	3.8k
Alice‐Agnes Gabriel Germany	25	1.7k 0.8×	264 0.2×	256 0.7×	134 1.0×	51 0.4×	108	2.0k
Takuto Maeda Japan	26	2.4k 1.1×	580 0.5×	198 0.6×	56 0.4×	165 1.3×	91	2.7k
Eric M. Dunham United States	36	3.3k 1.5×	476 0.4×	476 1.4×	321 2.4×	178 1.4×	119	3.7k
Eiichi Fukuyama Japan	33	3.0k 1.4×	422 0.4×	442 1.3×	462 3.4×	115 0.9×	124	3.3k
N. Lapusta United States	35	4.9k 2.2×	565 0.5×	379 1.1×	747 5.5×	106 0.8×	98	5.4k
Yoshihiro Kaneko New Zealand	24	2.4k 1.1×	356 0.3×	234 0.7×	143 1.1×	45 0.4×	75	2.6k
J. J. McGuire United States	33	2.9k 1.3×	667 0.6×	124 0.4×	59 0.4×	78 0.6×	98	3.4k
Paul Spudich United States	31	3.5k 1.6×	453 0.4×	1.3k 3.8×	144 1.1×	379 3.0×	60	3.9k
Nori Nakata United States	22	2.0k 0.9×	674 0.6×	248 0.7×	127 0.9×	640 5.1×	99	2.2k

Countries citing papers authored by Daniel T. Trugman

Since Specialization

Citations

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

Fields of papers citing papers by Daniel T. Trugman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel T. Trugman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Trugman. A scholar is included among the top collaborators of Daniel T. Trugman 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 Daniel T. Trugman. Daniel T. Trugman 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

McCoy, Scott, et al.. (2025). Rainfall Thresholds for Postfire Debris‐Flow Initiation Vary With Short‐Duration Rainfall Climatology. Journal of Geophysical Research Earth Surface. 130(6). 1 indexed citations

Pennington, Colin, et al.. (2025). Exploring Uncertainty in Moment Estimation for Small Earthquakes in Southern Nevada Using the Coda Envelope Method. Bulletin of the Seismological Society of America. 115(3). 1308–1317. 1 indexed citations

Cochran, E. S., A. Baltay, Shanna Chu, et al.. (2024). SCEC/USGS Community Stress-Drop Validation Study: How Spectral Fitting Approaches Influence Measured Source Parameters. Bulletin of the Seismological Society of America. 115(3). 760–776. 10 indexed citations

Bolton, David, Nadine Igonin, Yangkang Chen, et al.. (2024). Foreshocks, aftershocks, and static stress triggering of the 2020 Mw 4.8 Mentone Earthquake in west Texas. SHILAP Revista de lepidopterología. 3(2).

Igonin, Nadine, et al.. (2023). Spectral Characteristics of Hydraulic Fracturing-Induced Seismicity Can Distinguish between Activation of Faults and Fractures. Seismological Research Letters. 5 indexed citations

Zhang, Enze, G. A. Catania, & Daniel T. Trugman. (2023). AutoTerm: an automated pipeline for glacier terminus extraction using machine learning and a “big data” repository of Greenland glacier termini. The cryosphere. 17(8). 3485–3503. 9 indexed citations

Bolton, David, Chris Marone, D. M. Saffer, & Daniel T. Trugman. (2023). Foreshock properties illuminate nucleation processes of slow and fast laboratory earthquakes. Nature Communications. 14(1). 3859–3859. 18 indexed citations

Johnson, Christopher, Philippe Roux, Daniel T. Trugman, et al.. (2023). Mapping Glacier Basal Sliding Applying Machine Learning. Journal of Geophysical Research Earth Surface. 128(11). 3 indexed citations

Saad, Omar M., Yunfeng Chen, Daniel T. Trugman, et al.. (2022). Machine Learning for Fast and Reliable Source-Location Estimation in Earthquake Early Warning. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 33 indexed citations

10.

Trugman, Daniel T., C. J. Chamberlain, Alexandros Savvaidis, & Anthony Lomax. (2022). GrowClust3D.jl: A Julia Package for the Relative Relocation of Earthquake Hypocenters Using 3D Velocity Models. Seismological Research Letters. 94(1). 443–456. 24 indexed citations

11.

Abercrombie, Rachel E., Daniel T. Trugman, Peter M. Shearer, et al.. (2021). Does Earthquake Stress Drop Increase With Depth in the Crust?. Journal of Geophysical Research Solid Earth. 126(10). 53 indexed citations

12.

Tsai, Victor C., Greg Hirth, Daniel T. Trugman, & Shanna Chu. (2021). Impact Versus Frictional Earthquake Models for High‐Frequency Radiation in Complex Fault Zones. Journal of Geophysical Research Solid Earth. 126(8). 17 indexed citations

13.

Chu, Shanna, Victor C. Tsai, Daniel T. Trugman, & Greg Hirth. (2021). Fault Interactions Enhance High‐Frequency Earthquake Radiation. Geophysical Research Letters. 48(20). 32 indexed citations

14.

Skoumal, Robert J. & Daniel T. Trugman. (2021). The Proliferation of Induced Seismicity in the Permian Basin, Texas. Journal of Geophysical Research Solid Earth. 126(6). 15 indexed citations

15.

Trugman, Daniel T., Shanna Chu, & Victor C. Tsai. (2021). Earthquake Source Complexity Controls the Frequency Dependence of Near‐Source Radiation Patterns. Geophysical Research Letters. 48(17). 28 indexed citations

16.

Abercrombie, Rachel E., Daniel T. Trugman, Peter M. Shearer, et al.. (2020). Does Earthquake Stress Drop Increase With Depth. AGU Fall Meeting Abstracts. 2020. 2 indexed citations

17.

Trugman, Daniel T., Zachary E. Ross, & Paul A. Johnson. (2020). Imaging Stress and Faulting Complexity Through Earthquake Waveform Similarity. Geophysical Research Letters. 47(1). 32 indexed citations

18.

Trugman, Daniel T. & Zachary E. Ross. (2019). Pervasive Foreshock Activity Across Southern California. Geophysical Research Letters. 46(15). 8772–8781. 63 indexed citations

19.

Trugman, Daniel T.. (2017). Deviant Earthquakes: Data-driven Constraints on the Variability in Earthquake Source Properties and Seismic Hazard. eScholarship (California Digital Library). 1 indexed citations

20.

Johnson, Paul A., B. M. Kaproth, Marco Maria Scuderi, et al.. (2013). Acceleration of acoustical emission precursors preceding failure in sheared granular material. AGUFM. 2013. 1 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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