K. B. Olsen

6.1k total citations
124 papers, 4.4k citations indexed

About

K. B. Olsen is a scholar working on Geophysics, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, K. B. Olsen has authored 124 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Geophysics, 57 papers in Civil and Structural Engineering and 21 papers in Artificial Intelligence. Recurrent topics in K. B. Olsen's work include Seismic Waves and Analysis (85 papers), earthquake and tectonic studies (76 papers) and Seismic Performance and Analysis (53 papers). K. B. Olsen is often cited by papers focused on Seismic Waves and Analysis (85 papers), earthquake and tectonic studies (76 papers) and Seismic Performance and Analysis (53 papers). K. B. Olsen collaborates with scholars based in United States, France and Mexico. K. B. Olsen's co-authors include Ralph J. Archuleta, Steven M. Day, Raúl Madariaga, D. Roten, Gerard T. Schuster, S. Peyrat, P. J. Maechling, T. H. Jordan, James C. Pechmann and R. Madariaga and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

K. B. Olsen

120 papers receiving 4.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
K. B. Olsen	3.8k	1.8k	439	274	221	124	4.4k
Steven M. Day	5.1k 1.3×	1.7k 0.9×	567 1.3×	328 1.2×	197 0.9×	109	5.7k
Arben Pitarka	2.3k 0.6×	2.0k 1.1×	243 0.6×	157 0.6×	194 0.9×	74	2.9k
Igor A. Beresnev	2.6k 0.7×	1.9k 1.0×	240 0.5×	593 2.2×	158 0.7×	84	3.8k
Ralph J. Archuleta	5.2k 1.4×	2.3k 1.3×	628 1.4×	248 0.9×	276 1.2×	93	5.7k
Takashi Furumura	2.6k 0.7×	650 0.4×	359 0.8×	165 0.6×	75 0.3×	121	2.8k
Francisco J. Sánchez‐Sesma	3.5k 0.9×	2.3k 1.3×	464 1.1×	929 3.4×	338 1.5×	140	4.7k
D. A. Okaya	3.9k 1.0×	394 0.2×	462 1.1×	291 1.1×	75 0.3×	118	4.3k
Jozef Kristek	2.3k 0.6×	833 0.5×	133 0.3×	515 1.9×	134 0.6×	62	2.7k
N. Lapusta	4.9k 1.3×	379 0.2×	565 1.3×	106 0.4×	207 0.9×	98	5.4k
Shin Aoi	2.1k 0.6×	822 0.5×	549 1.3×	151 0.6×	139 0.6×	111	2.4k

Countries citing papers authored by K. B. Olsen

Since Specialization

Citations

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

Fields of papers citing papers by K. B. Olsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. B. Olsen. 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 K. B. Olsen. The network helps show where K. B. Olsen may publish in the future.

Co-authorship network of co-authors of K. B. Olsen

This figure shows the co-authorship network connecting the top 25 collaborators of K. B. Olsen. A scholar is included among the top collaborators of K. B. Olsen 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 K. B. Olsen. K. B. Olsen 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

Olsen, K. B., et al.. (2025). Three‐dimensional 0–10 Hz physics‐based simulations of the 2020 Magna, Utah, earthquake sequence. Earthquake Spectra. 41(2). 1177–1199. 1 indexed citations

Olsen, K. B., et al.. (2024). Simulation of 0–7.5 Hz physics‐based nonlinear ground motions for maximum credible earthquake scenarios at the Long Valley Dam, CA. Earthquake Spectra. 40(2). 1479–1506. 3 indexed citations

Callaghan, S., et al.. (2024). Earthquake Fault Rupture Modeling and Ground-Motion Simulations for the Southwest Iceland Transform Zone Using CyberShake. Bulletin of the Seismological Society of America. 115(1). 69–85. 3 indexed citations

Olsen, K. B., et al.. (2024). Waveguide or Not? Revised Ground-Motion Simulations for Greater Los Angeles from the M 7.8 ShakeOut Earthquake Scenario. Seismological Research Letters. 96(2A). 1061–1072.

Gerstoft, Peter, et al.. (2024). 3D Multiresolution Velocity Model Fusion with Probability Graphical Models. Bulletin of the Seismological Society of America. 114(3). 1279–1292. 2 indexed citations

Gerstoft, Peter, et al.. (2024). Graph-learning approach to combine multiresolution seismic velocity models. Geophysical Journal International. 238(3). 1353–1365.

Roten, D., et al.. (2023). Implementation of Iwan-Type Nonlinear Rheology in a 3D High-Order Staggered-Grid Finite-Difference Method. Bulletin of the Seismological Society of America. 113(6). 2275–2291. 7 indexed citations

Olsen, K. B., et al.. (2023). Fault Damage Zone Effects on Ground Motions during the 2019 Mw 7.1 Ridgecrest, California, Earthquake. Bulletin of the Seismological Society of America. 113(4). 1724–1738. 11 indexed citations

Olsen, K. B., et al.. (2022). Calibration of the near-surface seismic structure in the SCEC community velocity model version 4. Geophysical Journal International. 230(3). 2183–2198. 6 indexed citations

10.

Olsen, K. B., et al.. (2022). 0–5 Hz deterministic 3-D ground motion simulations for the 2014 La Habra, California, Earthquake. Geophysical Journal International. 230(3). 2162–2182. 17 indexed citations

11.

Olsen, K. B., et al.. (2021). A frequency‐dependent ground‐motion spatial correlation model of within‐event residuals for Fourier amplitude spectra. Earthquake Spectra. 37(3). 2041–2065. 4 indexed citations

12.

Roten, D. & K. B. Olsen. (2021). Estimation of Site Amplification from Geotechnical Array Data Using Neural Networks. Bulletin of the Seismological Society of America. 111(4). 1784–1794. 20 indexed citations

13.

Bianco, Michael J., et al.. (2021). High‐Resolution Imaging of Complex Shallow Fault Zones Along the July 2019 Ridgecrest Ruptures. Geophysical Research Letters. 49(1). 20 indexed citations

14.

O’Reilly, Ossian, et al.. (2021). A High-Order Finite-Difference Method on Staggered Curvilinear Grids for Seismic Wave Propagation Applications with Topography. Bulletin of the Seismological Society of America. 112(1). 3–22. 15 indexed citations

15.

Savran, William H. & K. B. Olsen. (2020). Kinematic Rupture Generator Based on 3‐D Spontaneous Rupture Simulations Along Geometrically Rough Faults. Journal of Geophysical Research Solid Earth. 125(10). 14 indexed citations

16.

Callaghan, S., P. J. Maechling, Christine Goulet, et al.. (2016). Expanding CyberShake Physics-Based Seismic Hazard Calculations to Central California. AGUFM. 2016. 1 indexed citations

17.

Callaghan, S., P. J. Maechling, Robert Graves, et al.. (2010). Running On-Demand Strong Ground Motion Simulations with the Second-Generation Broadband Platform. AGU Fall Meeting Abstracts. 2010. 1 indexed citations

18.

Roten, D., K. B. Olsen, James C. Pechmann, V. M. Cruz‐Atienza, & Harold Magistrale. (2008). 3-D ground motion modeling for M7 dynamic rupture earthquake scenarios on the Wasatch fault, Utah. AGU Fall Meeting Abstracts. 2008. 1 indexed citations

19.

Cui, Y., K. B. Olsen, Steven M. Day, et al.. (2006). Optimization and Scalability of an Large-scale Earthquake Simulation Application. AGUFM. 2006. 1 indexed citations

20.

Day, Steven M., Jacobo Bielak, Douglas S. Dreger, et al.. (2004). Source-Averaged Basin Effects from 3D Ground Motion Simulations. AGUFM. 2004. 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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