Nils Hutter

968 total citations
23 papers, 380 citations indexed

About

Nils Hutter is a scholar working on Atmospheric Science, Environmental Chemistry and Oceanography. According to data from OpenAlex, Nils Hutter has authored 23 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 9 papers in Environmental Chemistry and 1 paper in Oceanography. Recurrent topics in Nils Hutter's work include Arctic and Antarctic ice dynamics (23 papers), Cryospheric studies and observations (19 papers) and Climate change and permafrost (16 papers). Nils Hutter is often cited by papers focused on Arctic and Antarctic ice dynamics (23 papers), Cryospheric studies and observations (19 papers) and Climate change and permafrost (16 papers). Nils Hutter collaborates with scholars based in Germany, United States and Norway. Nils Hutter's co-authors include Martin Lösch, Dimitris Menemenlis, Lorenzo Zampieri, Bruno Tremblay, Thomas Jung, Luisa von Albedyll, Helge Goessling, Qiang Wang, Jean‐François Lemieux and Arttu Jutila and has published in prestigious journals such as Scientific Reports, Geophysical Research Letters and Nature Climate Change.

In The Last Decade

Nils Hutter

22 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nils Hutter Germany 11 371 68 48 34 13 23 380
Madlen Kimmritz Germany 9 319 0.9× 57 0.8× 124 2.6× 93 2.7× 21 1.6× 13 342
Adam Steer Australia 7 255 0.7× 25 0.4× 25 0.5× 36 1.1× 3 0.2× 10 274
Markus Harder Germany 12 402 1.1× 34 0.5× 133 2.8× 71 2.1× 6 0.5× 16 411
Hannes Keernik Estonia 4 209 0.6× 8 0.1× 148 3.1× 38 1.1× 2 0.2× 9 227
Teresa Valkonen Norway 10 251 0.7× 6 0.1× 184 3.8× 28 0.8× 3 0.2× 15 266
Tuomas Naakka Finland 8 229 0.6× 8 0.1× 189 3.9× 16 0.5× 14 247
Gábor Radnóti United Kingdom 8 151 0.4× 5 0.1× 121 2.5× 24 0.7× 6 0.5× 9 176
Satoshi Kusumoto Japan 9 57 0.2× 36 0.5× 4 0.1× 20 0.6× 3 0.2× 14 284
Bruno Deremble France 10 162 0.4× 7 0.1× 193 4.0× 214 6.3× 20 1.5× 35 267
Kuniaki Abe Japan 9 64 0.2× 26 0.4× 5 0.1× 23 0.7× 3 0.2× 25 253

Countries citing papers authored by Nils Hutter

Since Specialization
Citations

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

Fields of papers citing papers by Nils Hutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nils Hutter

This figure shows the co-authorship network connecting the top 25 collaborators of Nils Hutter. A scholar is included among the top collaborators of Nils Hutter 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 Nils Hutter. Nils Hutter 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.
Krumpen, Thomas, Luisa von Albedyll, Giulia Castellani, et al.. (2025). Smoother sea ice with fewer pressure ridges in a more dynamic Arctic. Nature Climate Change. 15(1). 66–72. 7 indexed citations
2.
Salganik, Evgenii, Odile Crabeck, Niels Fuchs, et al.. (2025). Impacts of air fraction increase on Arctic sea ice density, freeboard, and thickness estimation during the melt season. ˜The œcryosphere. 19(3). 1259–1278. 1 indexed citations
3.
Zampieri, Lorenzo, et al.. (2024). Modeling the Winter Heat Conduction Through the Sea Ice System During MOSAiC. Geophysical Research Letters. 51(8). 2 indexed citations
4.
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
5.
Singha, Suman, et al.. (2024). SAR deep learning sea ice retrieval trained with airborne laser scanner measurements from the MOSAiC expedition. ˜The œcryosphere. 18(5). 2207–2222. 5 indexed citations
6.
Ricker, Robert, Steven Fons, Arttu Jutila, et al.. (2023). Linking scales of sea ice surface topography: evaluation of ICESat-2 measurements with coincident helicopter laser scanning during MOSAiC. ˜The œcryosphere. 17(3). 1411–1429. 17 indexed citations
7.
Hutter, Nils, Stefan Hendricks, Arttu Jutila, et al.. (2023). Digital elevation models of the sea-ice surface from airborne laser scanning during MOSAiC. Scientific Data. 10(1). 729–729. 7 indexed citations
8.
Hutter, Nils, et al.. (2023). Deformation lines in Arctic sea ice: intersection angle distribution and mechanical properties. ˜The œcryosphere. 17(9). 4047–4061. 6 indexed citations
9.
Thielke, Linda, Niels Fuchs, Gunnar Spreen, et al.. (2023). Preconditioning of Summer Melt Ponds From Winter Sea Ice Surface Temperature. Geophysical Research Letters. 50(4). 9 indexed citations
10.
Neckel, Niklas, Niels Fuchs, Gerit Birnbaum, et al.. (2023). Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition. Scientific Data. 10(1). 426–426. 10 indexed citations
11.
Hutter, Nils, Amélie Bouchat, Frédéric Dupont, et al.. (2022). Sea Ice Rheology Experiment (SIREx): 2. Evaluating Linear Kinematic Features in High‐Resolution Sea Ice Simulations. Journal of Geophysical Research Oceans. 127(4). 29 indexed citations
12.
Bouchat, Amélie, Nils Hutter, Jérôme Chanut, et al.. (2022). Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea‐Ice Deformation Fields. Journal of Geophysical Research Oceans. 127(4). 32 indexed citations
13.
Mehlmann, Carolin, Sergey Danilov, Martin Lösch, et al.. (2021). Simulating Linear Kinematic Features in Viscous‐Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering. Journal of Advances in Modeling Earth Systems. 13(11). 19 indexed citations
14.
Hutter, Nils & Martin Lösch. (2020). Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations. ˜The œcryosphere. 14(1). 93–113. 29 indexed citations
15.
Koldunov, Nikolay, Sergey Danilov, Dmitry Sidorenko, et al.. (2019). Fast EVP Solutions in a High‐Resolution Sea Ice Model. Journal of Advances in Modeling Earth Systems. 11(5). 1269–1284. 30 indexed citations
16.
Hutter, Nils, Lorenzo Zampieri, & Martin Lösch. (2019). Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm. ˜The œcryosphere. 13(2). 627–645. 35 indexed citations
17.
Lösch, Martin, et al.. (2019). Simulating intersection angles between conjugate faults in sea ice with different viscous–plastic rheologies. ˜The œcryosphere. 13(4). 1167–1186. 23 indexed citations
18.
Bouchat, Amélie & Nils Hutter. (2018). Scaling and statistical properties of sea-ice deformation fields from models participating in the FAMOS Sea-Ice Rheology Experiment. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut).
19.
Goessling, Helge, et al.. (2018). Predictability of Arctic sea ice on weather time scales. Scientific Reports. 8(1). 6514–6514. 26 indexed citations
20.
Hutter, Nils, et al.. (2018). Modeling Sea Ice fracture at very high resolution with VP rheologies. Biogeosciences (European Geosciences Union). 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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