Peter Gerstoft

14.1k total citations · 4 hit papers
391 papers, 10.5k citations indexed

About

Peter Gerstoft is a scholar working on Oceanography, Geophysics and Signal Processing. According to data from OpenAlex, Peter Gerstoft has authored 391 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 210 papers in Oceanography, 129 papers in Geophysics and 123 papers in Signal Processing. Recurrent topics in Peter Gerstoft's work include Underwater Acoustics Research (203 papers), Seismic Waves and Analysis (115 papers) and Speech and Audio Processing (92 papers). Peter Gerstoft is often cited by papers focused on Underwater Acoustics Research (203 papers), Seismic Waves and Analysis (115 papers) and Speech and Audio Processing (92 papers). Peter Gerstoft collaborates with scholars based in United States, Austria and Italy. Peter Gerstoft's co-authors include William S. Hodgkiss, W. A. Kuperman, Karim G. Sabra, Michael C. Fehler, Christoph F. Mecklenbräuker, Philippe Roux, Angeliki Xenaki, Caglar Yardim, Peter M. Shearer and Michael J. Bianco and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Peter Gerstoft

358 papers receiving 10.1k citations

Hit Papers

Surface wave tomography from microseisms in Southern Cali... 2005 2026 2012 2019 2005 2005 2018 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Gerstoft United States 54 4.9k 3.9k 2.9k 2.3k 1.8k 391 10.5k
W. A. Kuperman United States 49 4.0k 0.8× 7.6k 1.9× 6.5k 2.2× 1.4k 0.6× 1.0k 0.6× 284 11.7k
Philippe Roux France 47 5.6k 1.1× 1.7k 0.4× 2.8k 1.0× 243 0.1× 1.7k 0.9× 244 9.0k
Stan E. Dosso Canada 36 2.3k 0.5× 2.7k 0.7× 2.4k 0.8× 303 0.1× 364 0.2× 248 4.4k
F. Rocca Italy 50 1.8k 0.4× 944 0.2× 3.5k 1.2× 269 0.1× 191 0.1× 279 17.3k
Arthur B. Baggeroer United States 25 351 0.1× 1.8k 0.4× 1.1k 0.4× 791 0.3× 171 0.1× 105 2.8k
J. Capon United States 17 1.3k 0.3× 905 0.2× 548 0.2× 2.7k 1.1× 513 0.3× 37 5.6k
Xiangyun Hu China 41 2.2k 0.5× 307 0.1× 2.5k 0.9× 65 0.0× 430 0.2× 442 7.2k
Henrik Schmidt United States 16 484 0.1× 1.7k 0.4× 1.3k 0.4× 295 0.1× 142 0.1× 67 2.3k
Richard Bamler Germany 50 524 0.1× 781 0.2× 1.9k 0.7× 81 0.0× 442 0.2× 252 12.4k
Zhiwei Li China 45 1.1k 0.2× 322 0.1× 1.2k 0.4× 67 0.0× 489 0.3× 388 8.7k

Countries citing papers authored by Peter Gerstoft

Since Specialization
Citations

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

Fields of papers citing papers by Peter Gerstoft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Gerstoft. 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 Peter Gerstoft. The network helps show where Peter Gerstoft may publish in the future.

Co-authorship network of co-authors of Peter Gerstoft

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Gerstoft. A scholar is included among the top collaborators of Peter Gerstoft 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 Peter Gerstoft. Peter Gerstoft 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.
Park, Yongsung, et al.. (2025). Non-convex sparse beamformer. The Journal of the Acoustical Society of America. 157(5). 3345–3357.
2.
Li, Siyuan, et al.. (2025). Hybrid data- and model-driven three-dimensional ocean sound speed field super-resolution: Diffusion model meets low-rank tensor. The Journal of the Acoustical Society of America. 157(5). 3756–3770.
3.
Liu, Ruixian & Peter Gerstoft. (2024). Spatial acoustic properties recovery with deep learning. The Journal of the Acoustical Society of America. 155(6). 3690–3701. 2 indexed citations
4.
Mecklenbräuker, Christoph F., Peter Gerstoft, Esa Ollila, & Yongsung Park. (2024). Robust and sparse M-estimation of DOA. Signal Processing. 220. 109461–109461. 10 indexed citations
6.
Romero, Daniel, et al.. (2024). Spoofing Attack Detection in the Physical Layer with Robustness to User Movement. 1–6. 2 indexed citations
7.
Park, Yongsung, et al.. (2023). Compressive frequency-difference direction-of-arrival estimation. The Journal of the Acoustical Society of America. 154(1). 141–151. 9 indexed citations
8.
Mecklenbräuker, Christoph F., et al.. (2021). Phase Coherent EM Array Measurements in a Refractive Environment. IEEE Transactions on Antennas and Propagation. 69(10). 6783–6796. 5 indexed citations
9.
Wang, Wenbo, et al.. (2021). Deep transfer learning for underwater direction of arrival using one vector sensor. The Journal of the Acoustical Society of America. 149(3). 1699–1711. 43 indexed citations
10.
Riis, Nicolai A. B., et al.. (2021). Gaussian processes for sound field reconstruction. The Journal of the Acoustical Society of America. 149(2). 1107–1119. 58 indexed citations
11.
Siderius, Martin, et al.. (2021). Head-wave correlations in layered seabed: Theory and modeling. SHILAP Revista de lepidopterología. 1(9). 96001–96001. 3 indexed citations
12.
Pan, Xiang, et al.. (2020). Matched-field geoacoustic inversion based on radial basis function neural network. The Journal of the Acoustical Society of America. 148(5). 3279–3290. 24 indexed citations
13.
Lipovsky, Bradley P., Douglas A. Wiens, R. C. Aster, et al.. (2019). Tidal and Thermal Stresses Drive Seismicity Along a Major Ross Ice Shelf Rift. Geophysical Research Letters. 46(12). 6644–6652. 36 indexed citations
14.
Nannuru, Santosh, Kay L. Gemba, Peter Gerstoft, William S. Hodgkiss, & Christoph F. Mecklenbräuker. (2019). Sparse Bayesian learning with multiple dictionaries. Signal Processing. 159. 159–170. 60 indexed citations
15.
Mecklenbräuker, Christoph F., et al.. (2019). Robust estimation of DOA from array data at low SNR. Signal Processing. 166. 107262–107262. 12 indexed citations
16.
Gerstoft, Peter, et al.. (2013). Deep-water subsurface imaging using OBS interferometry. Geophysics. 78(2). Q15–Q24. 8 indexed citations
17.
Yardim, Caglar, Peter Gerstoft, & Zoi-Heleni Michalopoulou. (2013). Geophysical signal processing using sequential Bayesian techniques. Geophysics. 78(3). V87–V100. 1 indexed citations
18.
Gerstoft, Peter, et al.. (2008). Global P, PP, and PKP wave microseisms observed from distant storms. AGUFM. 2008. 121 indexed citations
19.
Gerstoft, Peter, Karim G. Sabra, Philippe Roux, W. A. Kuperman, & Michael C. Fehler. (2006). Green's functions extraction and surface-wave tomography from microseisms in southern California. Geophysics. 71(4). SI23–SI31. 115 indexed citations
20.
Hodgkiss, William S., Peter Gerstoft, & James J. Murray. (2003). Array shape estimation from sources of opportunity. Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492). 3 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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