Stan E. Dosso

5.7k total citations
248 papers, 4.4k citations indexed

About

Stan E. Dosso is a scholar working on Oceanography, Ocean Engineering and Geophysics. According to data from OpenAlex, Stan E. Dosso has authored 248 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 195 papers in Oceanography, 137 papers in Ocean Engineering and 111 papers in Geophysics. Recurrent topics in Stan E. Dosso's work include Underwater Acoustics Research (194 papers), Geophysical Methods and Applications (107 papers) and Seismic Waves and Analysis (65 papers). Stan E. Dosso is often cited by papers focused on Underwater Acoustics Research (194 papers), Geophysical Methods and Applications (107 papers) and Seismic Waves and Analysis (65 papers). Stan E. Dosso collaborates with scholars based in Canada, United States and Norway. Stan E. Dosso's co-authors include Jan Dettmer, Charles W. Holland, Michael J. Wilmut, Peter L. Nielsen, J. F. Cassidy, N. Ross Chapman, L. A. Coogan, Julien Bonnel, Gavin Steininger and Sheri Molnar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Geochimica et Cosmochimica Acta.

In The Last Decade

Stan E. Dosso

237 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stan E. Dosso Canada 36 2.7k 2.4k 2.3k 686 364 248 4.4k
N. Ross Chapman Canada 30 2.1k 0.8× 1.4k 0.6× 940 0.4× 698 1.0× 81 0.2× 144 3.4k
Darrell R. Jackson United States 29 3.0k 1.1× 2.3k 1.0× 786 0.3× 509 0.7× 49 0.1× 145 4.7k
Peter F. Worcester United States 30 3.2k 1.2× 1.2k 0.5× 776 0.3× 614 0.9× 87 0.2× 207 3.6k
Jan Dettmer Canada 26 731 0.3× 774 0.3× 1.4k 0.6× 146 0.2× 263 0.7× 105 1.9k
Bruce D. Cornuelle United States 41 5.5k 2.0× 733 0.3× 673 0.3× 648 0.9× 87 0.2× 232 6.7k
C. S. Clay United States 26 1.3k 0.5× 649 0.3× 309 0.1× 613 0.9× 72 0.2× 114 2.3k
Robert J. Urick United States 4 1.8k 0.7× 1.2k 0.5× 148 0.1× 917 1.3× 170 0.5× 4 2.8k
Gary J. Hampson United Kingdom 36 235 0.1× 819 0.3× 1.2k 0.5× 474 0.7× 138 0.4× 194 4.9k
William Menke United States 34 401 0.1× 1.0k 0.4× 5.0k 2.2× 74 0.1× 472 1.3× 125 6.2k
David E. Cartwright United States 27 4.6k 1.7× 775 0.3× 412 0.2× 320 0.5× 78 0.2× 83 6.5k

Countries citing papers authored by Stan E. Dosso

Since Specialization
Citations

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

Fields of papers citing papers by Stan E. Dosso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stan E. Dosso

This figure shows the co-authorship network connecting the top 25 collaborators of Stan E. Dosso. A scholar is included among the top collaborators of Stan E. Dosso 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 Stan E. Dosso. Stan E. Dosso 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.
Dosso, Stan E., Preston S. Wilson, David P. Knobles, & Julien Bonnel. (2025). Bayesian matched-field inversion for shear and compressional geoacoustic profiles at the New England Mud Patch. JASA Express Letters. 5(4). 2 indexed citations
2.
Dosso, Stan E., et al.. (2023). Seasonal and diel patterns in Pacific white‐sided dolphin (Lagenorhynchus obliquidens) pulsed calls near Barkley Canyon. Marine Mammal Science. 40(1). 73–88. 1 indexed citations
3.
Vasyura‐Bathke, Hannes, et al.. (2023). Bayesian estimation of non-linear centroid moment tensors using multiple seismic data sets. Geophysical Journal International. 235(3). 2948–2961. 3 indexed citations
4.
Dosso, Stan E., et al.. (2023). Classification of Herring, Salmon, and Bubbles in Multifrequency Echograms Using U-Net Neural Networks. IEEE Journal of Oceanic Engineering. 48(4). 1236–1254. 8 indexed citations
5.
Dosso, Stan E., et al.. (2021). Passive Acoustic Glider for Seabed Characterization at the New England Mud Patch. IEEE Journal of Oceanic Engineering. 47(3). 541–552. 9 indexed citations
6.
Bonnel, Julien, Stan E. Dosso, John A. Goff, et al.. (2021). Transdimensional Geoacoustic Inversion Using Prior Information on Range-Dependent Seabed Layering. IEEE Journal of Oceanic Engineering. 47(3). 594–606. 9 indexed citations
7.
Hodgkiss, William S., et al.. (2021). Probabilistic Estimation of Merchant Ship Source Levels in an Uncertain Shallow-Water Environment. IEEE Journal of Oceanic Engineering. 47(3). 647–656. 11 indexed citations
8.
Dosso, Stan E., et al.. (2019). Ship-of-Opportunity Noise Inversions for Geoacoustic Profiles of a Layered Mud-Sand Seabed. IEEE Journal of Oceanic Engineering. 45(1). 189–200. 29 indexed citations
9.
Molnar, Sheri, Stan E. Dosso, & J. F. Cassidy. (2013). Uncertainty of linear earthquake site amplification via Bayesian inversion of surface seismic data. Geophysics. 78(3). WB37–WB48. 12 indexed citations
10.
Dettmer, Jan, Charles W. Holland, & Stan E. Dosso. (2013). Transdimensional uncertainty estimation for dispersive seabed sediments. Geophysics. 78(3). WB63–WB76. 25 indexed citations
11.
Dosso, Stan E.. (2012). Acoustic localization of an unknown number of sources in an uncertain ocean environment. Canadian acoustics. 40(1). 3–11. 4 indexed citations
12.
Thomson, Dugald, et al.. (2012). Modelling uncertainty in an underwater acoustic positioning system. Canadian acoustics. 40(1). 13–18. 1 indexed citations
13.
Dosso, Stan E., et al.. (2012). A Bayesian framework for geoacoustic inversion of wind-driven ambient noise in shallow water. Canadian acoustics. 40(3). 80–81.
14.
Steininger, Gavin, Stan E. Dosso, & Charles W. Holland. (2010). Determining Acoustic Scattering Properties of Marine Sediments through Bayesian Inversion. Canadian acoustics. 38(3). 44–45.
15.
Dosso, Stan E. & Michael J. Wilmut. (2009). Bayesian ocean acoustic source track with environmental uncertainty. Canadian acoustics. 37(3). 112–113. 1 indexed citations
16.
Molnar, Sheri, J. F. Cassidy, Stan E. Dosso, & K. B. Olsen. (2009). 3D Ground Motion in the Georgia Basin Region of SW British Columbia for Intra-slab Earthquake Scenarios. AGU Spring Meeting Abstracts. 2009.
17.
Riedel, Michael, et al.. (2007). AVO inversion of BSRs in marine gas hydrate studies. Geophysics. 72(2). C31–C43. 23 indexed citations
18.
Dosso, Stan E., et al.. (2005). Array element localization accuracy and survey design. Canadian acoustics. 33(3). 16–17. 13 indexed citations
19.
Dettmer, Jan, Stan E. Dosso, & Charles W. Holland. (2004). Geoacoustic inversion with strongly correlated data errors. Canadian acoustics. 32(3). 194–195. 2 indexed citations
20.
Riedel, Michael, et al.. (2003). Uncertainty estimation for amplitude variation with offset (AVO) inversion. Geophysics. 68(5). 1485–1496. 29 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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