Sascha Willmes

2.4k total citations
59 papers, 1.3k citations indexed

About

Sascha Willmes is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Sascha Willmes has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Atmospheric Science, 11 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Sascha Willmes's work include Arctic and Antarctic ice dynamics (56 papers), Climate change and permafrost (43 papers) and Cryospheric studies and observations (43 papers). Sascha Willmes is often cited by papers focused on Arctic and Antarctic ice dynamics (56 papers), Climate change and permafrost (43 papers) and Cryospheric studies and observations (43 papers). Sascha Willmes collaborates with scholars based in Germany, United Kingdom and Canada. Sascha Willmes's co-authors include Günther Heinemann, Christian Haas, Marcel Nicolaus, Stephan Paul, Andreas Preußer, David Schröder, Jörg Bareiss, Thomas Krumpen, Κay I. Ohshima and Igor Dmitrenko and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Sascha Willmes

59 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sascha Willmes Germany 25 1.3k 274 199 156 53 59 1.3k
Katharine Giles United Kingdom 10 1.5k 1.2× 244 0.9× 264 1.3× 204 1.3× 40 0.8× 15 1.6k
Lana Cohen Norway 14 804 0.6× 486 1.8× 106 0.5× 85 0.5× 60 1.1× 20 884
J. Scott Stewart United States 12 778 0.6× 229 0.8× 183 0.9× 97 0.6× 83 1.6× 21 891
Melinda Webster United States 21 1.3k 1.0× 295 1.1× 102 0.5× 108 0.7× 54 1.0× 54 1.3k
Mark Wensnahan United States 8 1.4k 1.1× 487 1.8× 186 0.9× 156 1.0× 39 0.7× 13 1.4k
Daisuke Simizu Japan 17 515 0.4× 108 0.4× 300 1.5× 149 1.0× 34 0.6× 30 582
Xiangshan Tian‐Kunze Germany 17 1.1k 0.9× 348 1.3× 113 0.6× 77 0.5× 25 0.5× 30 1.2k
Gorm Dybkjær Denmark 13 816 0.6× 326 1.2× 137 0.7× 69 0.4× 47 0.9× 27 941
И. Е. Фролов Russia 8 456 0.4× 217 0.8× 187 0.9× 137 0.9× 40 0.8× 20 535
Polona Itkin Norway 17 814 0.6× 129 0.5× 107 0.5× 122 0.8× 53 1.0× 41 891

Countries citing papers authored by Sascha Willmes

Since Specialization
Citations

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

Fields of papers citing papers by Sascha Willmes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sascha Willmes

This figure shows the co-authorship network connecting the top 25 collaborators of Sascha Willmes. A scholar is included among the top collaborators of Sascha Willmes 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 Sascha Willmes. Sascha Willmes 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.
Albedyll, Luisa von, Stefan Hendricks, Nils Hutter, et al.. (2024). Lead fractions from SAR-derived sea ice divergence during MOSAiC. ˜The œcryosphere. 18(3). 1259–1285. 4 indexed citations
2.
Gong, Xianda, Jiaoshi Zhang, Betty Croft, et al.. (2023). Arctic warming by abundant fine sea salt aerosols from blowing snow. Nature Geoscience. 16(9). 768–774. 29 indexed citations
3.
Willmes, Sascha, et al.. (2023). Patterns of wintertime Arctic sea-ice leads and their relation to winds and ocean currents. ˜The œcryosphere. 17(8). 3291–3308. 10 indexed citations
4.
Creamean, Jessie M., Kevin R. Barry, Thomas C. J. Hill, et al.. (2022). Annual cycle observations of aerosols capable of ice formation in central Arctic clouds. Nature Communications. 13(1). 3537–3537. 51 indexed citations
5.
Preußer, Andreas, et al.. (2022). A Model-Based Temperature Adjustment Scheme for Wintertime Sea-Ice Production Retrievals from MODIS. Remote Sensing. 14(9). 2036–2036. 3 indexed citations
6.
7.
Krumpen, Thomas, Luisa von Albedyll, Helge Goessling, et al.. (2021). The MOSAiC Drift: Ice conditions from space and comparison with previous years. 3 indexed citations
8.
Krumpen, Thomas, Luisa von Albedyll, Helge Goessling, et al.. (2021). MOSAiC drift expedition from October 2019 to July 2020: sea ice conditions from space and comparison with previous years. ˜The œcryosphere. 15(8). 3897–3920. 56 indexed citations
9.
10.
Fraser, Alexander, Robert A. Massom, Κay I. Ohshima, et al.. (2020). High-resolution mapping of circum-Antarctic landfast sea ice distribution, 2000–2018. Earth system science data. 12(4). 2987–2999. 49 indexed citations
11.
Preußer, Andreas, Günther Heinemann, Sascha Willmes, & Stephan Paul. (2016). Circumpolar polynya regions and ice production in the Arctic: results from MODIS thermal infrared imagery from 2002/2003 to 2014/2015 with a regional focus on the Laptev Sea. ˜The œcryosphere. 10(6). 3021–3042. 39 indexed citations
12.
Gutjahr, Oliver, Günther Heinemann, Andreas Preußer, Sascha Willmes, & Clemens Drüe. (2016). Sensitivity of ice production estimates in Laptev Sea polynyas to the parameterization of subgrid-scale sea-ice inhomogeneities in COSMO-CLM. 2 indexed citations
13.
Gutjahr, Oliver, Günther Heinemann, Andreas Preußer, Sascha Willmes, & Clemens Drüe. (2016). Quantification of ice production in Laptev Sea polynyas and its sensitivity to thin-ice parameterizations in a regional climate model. ˜The œcryosphere. 10(6). 2999–3019. 26 indexed citations
14.
Paul, Stephan, Sascha Willmes, & Günther Heinemann. (2015). Long-term coastal-polynya dynamics in the southern Weddell Sea from MODIS thermal-infrared imagery. ˜The œcryosphere. 9(6). 2027–2041. 49 indexed citations
15.
Preußer, Andreas, Sascha Willmes, Günther Heinemann, & Stephan Paul. (2015). Thin-ice dynamics and ice production in the Storfjorden polynya for winter seasons 2002/2003–2013/2014 using MODIS thermal infrared imagery. ˜The œcryosphere. 9(3). 1063–1073. 20 indexed citations
16.
Kouraev, Alexei, et al.. (2015). SARAL/AltiKa observations for the studies of ice cover on lakes and oceans. EGU General Assembly Conference Abstracts. 8634. 1 indexed citations
17.
Paul, Stephan, et al.. (2014). The impact of early summer snow properties on land-fast sea-ice X-band backscatter. Helmholtz Centre for Ocean Research Kiel (GEOMAR). 5920. 1 indexed citations
18.
Willmes, Sascha, Marcel Nicolaus, & Christian Haas. (2014). The microwave emissivity variability of snow covered first-year sea ice from late winter to early summer: a model study. ˜The œcryosphere. 8(3). 891–904. 31 indexed citations
19.
Schröder, David, Günther Heinemann, & Sascha Willmes. (2010). Implementation of a thermodynamic sea ice module in the NSP model COSMO and its impact on simulations for the Laptev Sea area in the Siberian Arctic. Helmholtz Centre for Ocean Research Kiel (GEOMAR). 3333. 3 indexed citations
20.
Willmes, Sascha, Thomas Krumpen, Lasse Rabenstein, et al.. (2009). Cross-Validation of polynya monitoring methods from multi-sensor satellite and airborne data: A case study. National Remote Sensing Bulletin. 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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