Daniel E. McNamara

3.8k total citations · 1 hit paper
67 papers, 3.0k citations indexed

About

Daniel E. McNamara is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Daniel E. McNamara has authored 67 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Geophysics, 21 papers in Artificial Intelligence and 11 papers in Civil and Structural Engineering. Recurrent topics in Daniel E. McNamara's work include earthquake and tectonic studies (47 papers), Seismic Waves and Analysis (35 papers) and Seismology and Earthquake Studies (20 papers). Daniel E. McNamara is often cited by papers focused on earthquake and tectonic studies (47 papers), Seismic Waves and Analysis (35 papers) and Seismology and Earthquake Studies (20 papers). Daniel E. McNamara collaborates with scholars based in United States, New Zealand and Spain. Daniel E. McNamara's co-authors include Thomas Owens, W. R. Walter, H. Benz, P. S. Earle, Paul G. Silver, William L. Yeck, J. L. Rubinstein, Eric Bergman, Charles J. Ammon and R. B. Herrmann and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Geophysical Research Letters.

In The Last Decade

Daniel E. McNamara

64 papers receiving 2.8k citations

Hit Papers

The 2018 update of the US National Seismic Hazard Model: ... 2019 2026 2021 2023 2019 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel E. McNamara United States 29 2.6k 573 397 227 152 67 3.0k
S. E. Minson United States 24 2.3k 0.9× 1.1k 1.8× 111 0.3× 191 0.8× 94 0.6× 63 2.7k
Nicholas Deichmann Switzerland 21 1.5k 0.6× 343 0.6× 126 0.3× 175 0.8× 169 1.1× 33 1.7k
H. M. Savage United States 22 1.9k 0.7× 297 0.5× 99 0.2× 121 0.5× 164 1.1× 66 2.3k
Hugo Yépes Ecuador 31 2.0k 0.8× 299 0.5× 193 0.5× 233 1.0× 146 1.0× 73 2.3k
S. D. Malone United States 26 2.2k 0.9× 532 0.9× 82 0.2× 465 2.0× 304 2.0× 88 2.5k
Keith D. Koper United States 36 3.9k 1.5× 824 1.4× 227 0.6× 178 0.8× 150 1.0× 121 4.2k
Shengji Wei Singapore 31 3.7k 1.4× 533 0.9× 268 0.7× 155 0.7× 245 1.6× 129 4.1k
Björn Lund Sweden 23 1.5k 0.6× 144 0.3× 74 0.2× 423 1.9× 156 1.0× 81 1.9k
Shinji Toda Japan 31 4.3k 1.7× 656 1.1× 288 0.7× 273 1.2× 204 1.3× 119 4.7k
Agustín Udías Spain 26 2.2k 0.8× 230 0.4× 183 0.5× 197 0.9× 47 0.3× 96 2.4k

Countries citing papers authored by Daniel E. McNamara

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. McNamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel E. McNamara

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. McNamara. A scholar is included among the top collaborators of Daniel E. McNamara 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 E. McNamara. Daniel E. McNamara 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.
Petersen, Mark D., Allison M. Shumway, Peter M. Powers, et al.. (2021). The 2018 update of the US National Seismic Hazard Model: Where, why, and how much probabilistic ground motion maps changed. Earthquake Spectra. 37(2). 959–987. 8 indexed citations
2.
Rezaeian, Sanaz, Peter M. Powers, Allison M. Shumway, et al.. (2021). The 2018 update of the US National Seismic Hazard Model: Ground motion models in the central and eastern US. Earthquake Spectra. 37(1S). 1354–1390. 12 indexed citations
3.
Petersen, Mark D., Allison M. Shumway, Peter M. Powers, et al.. (2021). 2021 US National Seismic Hazard Model for the State of Hawaii. Earthquake Spectra. 38(2). 865–916. 12 indexed citations
4.
Sumy, D. F., Sara K. McBride, Monica D. Kohler, et al.. (2021). Long-Term Ocean Observing Coupled with Community Engagement Improves Tsunami Early Warning. Oceanography. 70–77. 7 indexed citations
5.
McNamara, Daniel E., E. Wolin, Morgan P. Moschetti, et al.. (2020). Evaluation of Ground-Motion Models for USGS Seismic Hazard Models Using Near-Source Instrumental Ground-Motion Recordings of the Ridgecrest, California, Earthquake Sequence. Bulletin of the Seismological Society of America. 110(4). 1517–1529. 5 indexed citations
6.
Petersen, Mark D., Allison M. Shumway, Peter M. Powers, et al.. (2019). The 2018 update of the US National Seismic Hazard Model: Overview of model and implications. Earthquake Spectra. 36(1). 5–41. 194 indexed citations breakdown →
7.
Wolin, E. & Daniel E. McNamara. (2019). Establishing High-Frequency Noise Baselines to 100 Hz Based on Millions of Power Spectra from IRIS MUSTANG. Bulletin of the Seismological Society of America. 110(1). 270–278. 13 indexed citations
8.
Yeck, William L., et al.. (2018). Induced earthquake and liquefaction hazards in Oklahoma, USA: Constraints from InSAR. Remote Sensing of Environment. 218. 1–12. 22 indexed citations
9.
McNamara, Daniel E., Mark D. Petersen, Eric M. Thompson, et al.. (2018). Evaluation of Ground‐Motion Models for USGS Seismic Hazard Forecasts: Induced and Tectonic Earthquakes in the Central and Eastern United States. Bulletin of the Seismological Society of America. 109(1). 322–335. 15 indexed citations
10.
Moschetti, Morgan P., Eric M. Thompson, Peter M. Powers, Susan M. Hoover, & Daniel E. McNamara. (2018). Ground Motions from Induced Earthquakes in Oklahoma and Kansas. Seismological Research Letters. 90(1). 160–170. 13 indexed citations
11.
Yeck, William L., G. P. Hayes, Daniel E. McNamara, et al.. (2016). Oklahoma experiences largest earthquake during ongoing regional wastewater injection hazard mitigation efforts. Geophysical Research Letters. 44(2). 711–717. 148 indexed citations
12.
McNamara, Daniel E., William L. Yeck, William D. Barnhart, et al.. (2016). Source modeling of the 2015 Mw 7.8 Nepal (Gorkha) earthquake sequence: Implications for geodynamics and earthquake hazards. Tectonophysics. 714-715. 21–30. 37 indexed citations
13.
McNamara, Daniel E., J. L. Rubinstein, Gregory M. Smoczyk, et al.. (2015). Efforts to monitor and characterize the recent increasing seismicity in central Oklahoma. The Leading Edge. 34(6). 628–639. 42 indexed citations
14.
McNamara, Daniel E.. (2012). PRELIMINARY PASSIVE- AND ACTIVE-SOURCE VS30 RESULTS AT 18 PORTABLE SEISMOGRAPH STATIONS DEPLOYED TO STUDY THE MW 5.8 MINERAL, VA, 23 AUGUST 2011 EARTHQUAKE. 2012 GSA Annual Meeting in Charlotte. 1 indexed citations
15.
Petersen, Mark D., Stephen C. Harmsen, Kenneth S. Rukstales, et al.. (2012). Seismic hazard of American Samoa and neighboring South Pacific Islands--methods, data, parameters, and results. Antarctica A Keystone in a Changing World. i–98. 4 indexed citations
16.
Unsworth, Charles P., et al.. (2012). A Detailed Noise Characterization and Sensor Evaluation of the North Island of New Zealand Using the PQLX Data Quality Control System. Bulletin of the Seismological Society of America. 102(1). 98–113. 26 indexed citations
17.
McNamara, Daniel E., et al.. (2011). PQLX: A seismic data quality control system description, applications, and users manual. Antarctica A Keystone in a Changing World. 38 indexed citations
18.
Aster, R. C., Daniel E. McNamara, & P. D. Bromirski. (2010). Global trends in extremal microseism intensity. Geophysical Research Letters. 37(14). 57 indexed citations
19.
McNamara, Daniel E., et al.. (2006). PQLX: A Software Tool to Evaluate Seismic Station Performance. AGUFM. 2006. 3 indexed citations
20.
McNamara, Daniel E., Thomas Owens, & W. R. Walter. (1995). Observations of regional phase propagation across the Tibetan Plateau. Journal of Geophysical Research Atmospheres. 100(B11). 22215–22229. 134 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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