Michel Tsamados

5.1k total citations
74 papers, 2.3k citations indexed

About

Michel Tsamados is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Michel Tsamados has authored 74 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Atmospheric Science, 14 papers in Global and Planetary Change and 8 papers in Oceanography. Recurrent topics in Michel Tsamados's work include Arctic and Antarctic ice dynamics (58 papers), Climate change and permafrost (49 papers) and Cryospheric studies and observations (43 papers). Michel Tsamados is often cited by papers focused on Arctic and Antarctic ice dynamics (58 papers), Climate change and permafrost (49 papers) and Cryospheric studies and observations (43 papers). Michel Tsamados collaborates with scholars based in United Kingdom, United States and Canada. Michel Tsamados's co-authors include D. L. Feltham, Julienne Strœve, Anne Tanguy, Daniela Flocco, Jean‐Louis Barrat, David Schröder, Jack Landy, Alek Petty, C. Goldenberg and Sheldon Bacon and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Michel Tsamados

73 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michel Tsamados United Kingdom 29 1.8k 463 340 327 225 74 2.3k
A. V. Gusev Russia 20 904 0.5× 851 1.8× 230 0.7× 467 1.4× 106 0.5× 111 1.8k
P. Wetzel France 26 702 0.4× 902 1.9× 374 1.1× 319 1.0× 44 0.2× 100 2.6k
Toshiyuki Hibiya Japan 31 1.5k 0.8× 1.1k 2.4× 198 0.6× 2.7k 8.3× 129 0.6× 142 3.3k
Jari Haapala Finland 22 1.2k 0.7× 363 0.8× 74 0.2× 517 1.6× 179 0.8× 67 1.6k
R. Allyn Clarke Canada 15 709 0.4× 489 1.1× 108 0.3× 820 2.5× 109 0.5× 23 1.2k
Stephen J. Cox United Kingdom 22 794 0.5× 614 1.3× 280 0.8× 30 0.1× 135 0.6× 58 1.6k
Warren W. Denner United States 15 288 0.2× 64 0.1× 305 0.9× 162 0.5× 74 0.3× 36 966
James Atkinson United Kingdom 18 2.3k 1.3× 1.7k 3.7× 105 0.3× 43 0.1× 80 0.4× 43 3.0k
W. Krauss Germany 31 765 0.4× 855 1.8× 1.6k 4.6× 1.5k 4.4× 92 0.4× 111 3.5k
Takehiro Koyaguchi Japan 35 872 0.5× 286 0.6× 75 0.2× 18 0.1× 46 0.2× 79 2.9k

Countries citing papers authored by Michel Tsamados

Since Specialization
Citations

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

Fields of papers citing papers by Michel Tsamados

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Tsamados

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Tsamados. A scholar is included among the top collaborators of Michel Tsamados 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 Michel Tsamados. Michel Tsamados 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.
Tsamados, Michel, et al.. (2024). ARISGAN: Extreme super-resolution of arctic surface imagery using generative adversarial networks. SHILAP Revista de lepidopterología. 5. 2 indexed citations
2.
Tsamados, Michel, et al.. (2023). Effects of sea ice form drag on the polar oceans in the NEMO-LIM3 global ocean–sea ice model. Ocean Modelling. 184. 102227–102227. 3 indexed citations
3.
Lin, Peigen, Robert S. Pickart, Harry Heorton, et al.. (2023). Recent state transition of the Arctic Ocean’s Beaufort Gyre. Nature Geoscience. 16(6). 485–491. 35 indexed citations
4.
Mallett, Robbie, et al.. (2023). ESD Ideas: Arctic amplification's contribution to breaches of the Paris Agreement. Earth System Dynamics. 14(6). 1165–1169. 3 indexed citations
5.
Gregory, William K., Julienne Strœve, & Michel Tsamados. (2022). Network connectivity between the winter Arctic Oscillation and summer sea ice in CMIP6 models and observations. ˜The œcryosphere. 16(5). 1653–1673. 9 indexed citations
6.
Fleury, Sara, Gilles Garric, Jérôme Bouffard, et al.. (2021). Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements. ˜The œcryosphere. 15(12). 5483–5512. 30 indexed citations
7.
Mallett, Robbie, Julienne Strœve, Alex Crawford, et al.. (2021). Record winter winds in 2020/21 drove exceptional Arctic sea ice transport. Communications Earth & Environment. 2(1). 21 indexed citations
8.
Gregory, William K., Isobel R. Lawrence, & Michel Tsamados. (2021). A Bayesian approach towards daily pan-Arctic sea ice freeboard estimates from combined CryoSat-2 and Sentinel-3 satellite observations. ˜The œcryosphere. 15(6). 2857–2871. 13 indexed citations
9.
Strœve, Julienne, Glen E. Liston, Sammie Buzzard, et al.. (2020). A Lagrangian Snow Evolution System for Sea Ice Applications (SnowModel‐LG): Part II—Analyses. Journal of Geophysical Research Oceans. 125(10). 56 indexed citations
10.
Zhou, Lu, Julienne Strœve, Shiming Xu, et al.. (2020). Inter-comparison of snow depth over sea ice from multiple methods. 3 indexed citations
11.
Mallett, Robbie, Isobel R. Lawrence, Julienne Strœve, Jack Landy, & Michel Tsamados. (2020). Brief communication: Conventional assumptions involving the speed of radar waves in snow introduce systematic underestimates to sea ice thickness and seasonal growth rate estimates. ˜The œcryosphere. 14(1). 251–260. 39 indexed citations
12.
Schröder, David, D. L. Feltham, Michel Tsamados, A. Ridout, & Rachel Tilling. (2019). New insight from CryoSat-2 sea ice thickness for sea ice modelling. ˜The œcryosphere. 13(1). 125–139. 35 indexed citations
13.
Strœve, Julienne, David Schröder, Michel Tsamados, & D. L. Feltham. (2018). Warm winter, thin ice?. ˜The œcryosphere. 12(5). 1791–1809. 47 indexed citations
14.
Schröder, David, D. L. Feltham, Michel Tsamados, A. Ridout, & Rachel Tilling. (2018). New insight from CryoSat-2 sea ice thickness for sea ice modelling. Biogeosciences (European Geosciences Union). 2 indexed citations
15.
Lawrence, Isobel R., Michel Tsamados, Julienne Strœve, Thomas Armitage, & A. Ridout. (2018). Estimating snow depth over Arctic sea ice from calibrated dual-frequency radar freeboards. ˜The œcryosphere. 12(11). 3551–3564. 60 indexed citations
16.
Quartly, Graham D., Eero Rinne, Marcello Passaro, et al.. (2018). Review of Radar Altimetry Techniques over the Arctic Ocean: Recent Progress and Future Opportunities for Sea Level and Sea Ice Research. Biogeosciences (European Geosciences Union). 5 indexed citations
17.
Armitage, Thomas, et al.. (2017). Arctic Ocean surface geostrophic circulation 2003–2014. ˜The œcryosphere. 11(4). 1767–1780. 100 indexed citations
18.
Armitage, Thomas, et al.. (2017). Arctic Ocean geostrophic circulation 2003-2014. 11 indexed citations
19.
Flocco, Daniela, D. L. Feltham, David Schröeder, & Michel Tsamados. (2016). Impact of refreezing melt ponds on Arctic sea ice basal growth. 2 indexed citations
20.
Heorton, Harry, et al.. (2016). Modelling the deformation and force balance of anisotropic Arctic Sea Ice. EGU General Assembly Conference Abstracts. 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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