Sergey Samsonov

6.9k total citations · 1 hit paper
174 papers, 4.8k citations indexed

About

Sergey Samsonov is a scholar working on Geophysics, Aerospace Engineering and Management, Monitoring, Policy and Law. According to data from OpenAlex, Sergey Samsonov has authored 174 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Geophysics, 82 papers in Aerospace Engineering and 49 papers in Management, Monitoring, Policy and Law. Recurrent topics in Sergey Samsonov's work include Synthetic Aperture Radar (SAR) Applications and Techniques (81 papers), earthquake and tectonic studies (79 papers) and Landslides and related hazards (49 papers). Sergey Samsonov is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (81 papers), earthquake and tectonic studies (79 papers) and Landslides and related hazards (49 papers). Sergey Samsonov collaborates with scholars based in Canada, United States and China. Sergey Samsonov's co-authors include N. d’Oreye, K. F. Tiampo, Karen E. Joyce, Wanpeng Feng, Pablo J. González, Stella Belliss, Phil Glassey, Stephen McNeill, Benoît Smets and José Fernández and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Sergey Samsonov

172 papers receiving 4.8k citations

Hit Papers

A review of the status of satellite remote sensing and im... 2009 2026 2014 2020 2009 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergey Samsonov Canada 40 2.3k 2.0k 1.2k 1.2k 596 174 4.8k
Pierre Briole France 40 3.4k 1.5× 1.8k 0.9× 797 0.7× 1.2k 1.0× 405 0.7× 148 5.3k
Francesco Casu Italy 37 1.4k 0.6× 3.0k 1.5× 1.5k 1.3× 1.4k 1.2× 643 1.1× 135 4.5k
Mahdi Motagh Germany 38 1.2k 0.5× 2.2k 1.1× 1.2k 1.0× 1.1k 0.9× 591 1.0× 195 4.7k
Shimon Wdowinski United States 43 2.2k 1.0× 2.9k 1.4× 905 0.7× 1.3k 1.1× 636 1.1× 161 6.3k
Juliet Biggs United Kingdom 47 4.8k 2.1× 2.0k 1.0× 1.1k 0.9× 1.3k 1.1× 302 0.5× 162 6.5k
Salvatore Stramondo Italy 31 1.5k 0.7× 1.2k 0.6× 665 0.5× 706 0.6× 441 0.7× 145 3.1k
Falk Amelung United States 51 3.8k 1.7× 3.7k 1.8× 1.5k 1.2× 1.8k 1.5× 871 1.5× 151 7.8k
K. L. Feigl United States 37 4.2k 1.9× 3.8k 1.9× 1.5k 1.2× 1.9k 1.6× 1.0k 1.7× 103 7.8k
Enrique Cabral‐Cano Mexico 25 1.1k 0.5× 1.6k 0.8× 727 0.6× 681 0.6× 498 0.8× 92 3.1k
M. Manzo Italy 30 1.1k 0.5× 2.4k 1.2× 1.1k 0.9× 1.0k 0.9× 534 0.9× 89 3.4k

Countries citing papers authored by Sergey Samsonov

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Samsonov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Samsonov

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Samsonov. A scholar is included among the top collaborators of Sergey Samsonov 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 Sergey Samsonov. Sergey Samsonov 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.
Walpersdorf, Andréa, Zahra Mousavi, Erwan Pathier, et al.. (2024). Constraints on the 2013 Saravan intraslab earthquake using permanent GNSS, InSAR and seismic data. Geophysical Journal International. 239(1). 155–172. 5 indexed citations
2.
Belomestny, Denis, et al.. (2023). Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations. Neural Networks. 161. 242–253. 9 indexed citations
3.
Schultz, Ryan, Jeong‐Ung Woo, William L. Ellsworth, et al.. (2023). Disposal From In Situ Bitumen Recovery Induced the ML 5.6 Peace River Earthquake. Geophysical Research Letters. 50(6). 20 indexed citations
4.
Vasyura‐Bathke, Hannes, et al.. (2023). Bayesian inference elucidates fault-system anatomy and resurgent earthquakes induced by continuing saltwater disposal. Communications Earth & Environment. 4(1). 6 indexed citations
5.
Samsonov, Sergey & Wanpeng Feng. (2023). Deformation Retrievals for North America and Eurasia from Sentinel-1 DInSAR: Big Data Approach, Processing Methodology and Challenges. Canadian Journal of Remote Sensing. 49(1). 3 indexed citations
6.
Jiang, Yu, Sergey Samsonov, & Pablo J. González. (2022). Aseismic Fault Slip During a Shallow Normal‐Faulting Seismic Swarm Constrained Using a Physically Informed Geodetic Inversion Method. Journal of Geophysical Research Solid Earth. 127(7). 11 indexed citations
7.
Dille, Antoine, Olivier Dewitte, Alexander L. Handwerger, et al.. (2022). Acceleration of a large deep-seated tropical landslide due to urbanization feedbacks. Nature Geoscience. 15(12). 1048–1055. 63 indexed citations
8.
Samsonov, Sergey, K. F. Tiampo, & Ryan Cassotto. (2021). Measuring the state and temporal evolution of glaciers in Alaska and Yukon using synthetic-aperture-radar-derived (SAR-derived) 3D time series of glacier surface flow. ˜The œcryosphere. 15(9). 4221–4239. 16 indexed citations
10.
Copland, Luke, et al.. (2019). Surge of Little Kluane Glacier in the St. Elias Mountains, Yukon, Canada, from 2017-2018. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
11.
12.
Tiampo, K. F., et al.. (2016). InSAR MSBAS Time-Series Analysis of Induced Seismicity in Colorado and Oklahoma. AGUFM. 2016. 1 indexed citations
13.
14.
Samsonov, Sergey, Trevor C. Lantz, Steven V. Kokelj, & Yu Zhang. (2016). Growth of a young pingo in the Canadian Arctic observed by RADARSAT-2 interferometric satellite radar. ˜The œcryosphere. 10(2). 799–810. 20 indexed citations
15.
Tiampo, K. F., et al.. (2016). InSAR MSBAS Time-Series Analysis of 2016 M5.8 Pawnee Earthquake. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
16.
Briole, Pierre, Panagiotis Elias, I. Parcharidis, et al.. (2015). The seismic sequence of January–February 2014 at Cephalonia Island (Greece): constraints from SAR interferometry and GPS. Geophysical Journal International. 203(3). 1528–1540. 30 indexed citations
17.
Fielding, E. J., et al.. (2014). Coseismic and Postseismic Deformation from the August 2014 Mw 6.0 South Napa Earthquake Measured with InSAR Time Series. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
18.
Samsonov, Sergey, Pablo J. González, K. F. Tiampo, & N. d’Oreye. (2014). Modeling of fast ground subsidence observed in southern Saskatchewan (Canada) during 2008–2011. Natural hazards and earth system sciences. 14(2). 247–257. 37 indexed citations
19.
Craymer, M., et al.. (2013). Preliminary results of continuous GPS monitoring of surface deformation at the Aquistore underground CO2 storage site. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
20.
Samsonov, Sergey, et al.. (2012). Monitoring Ground Deformation at the Aquistore CO2 Storage Site in SE Saskatchewan, Canada. AGUFM. 2012. 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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