Thorsten Wilhelm

1.1k total citations
30 papers, 650 citations indexed

About

Thorsten Wilhelm is a scholar working on Ecology, Astronomy and Astrophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thorsten Wilhelm has authored 30 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 10 papers in Astronomy and Astrophysics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thorsten Wilhelm's work include Planetary Science and Exploration (10 papers), Coral and Marine Ecosystems Studies (7 papers) and Astro and Planetary Science (7 papers). Thorsten Wilhelm is often cited by papers focused on Planetary Science and Exploration (10 papers), Coral and Marine Ecosystems Studies (7 papers) and Astro and Planetary Science (7 papers). Thorsten Wilhelm collaborates with scholars based in Germany, United States and Chile. Thorsten Wilhelm's co-authors include Nai‘a Lewis, John Parks, Daniel Wagner, Alan M. Friedlander, Carlos F. Gaymer, Anne Sheppard, Charles Sheppard, Sue Taei, Nathan Bennett and Noella J. Gray and has published in prestigious journals such as Geophysical Research Letters, Marine Pollution Bulletin and Remote Sensing.

In The Last Decade

Thorsten Wilhelm

26 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thorsten Wilhelm Germany 11 438 240 228 94 79 30 650
Baomin Han China 12 221 0.5× 64 0.3× 273 1.2× 25 0.3× 78 1.0× 31 523
Mark Zacharias Canada 11 425 1.0× 118 0.5× 290 1.3× 251 2.7× 5 0.1× 17 631
Margaret S. Race United States 15 239 0.5× 124 0.5× 134 0.6× 79 0.8× 338 4.3× 55 774
Alexandra C. Dempsey United States 11 241 0.6× 24 0.1× 157 0.7× 125 1.3× 9 0.1× 21 370
José Silva Brazil 8 161 0.4× 44 0.2× 368 1.6× 12 0.1× 133 1.7× 21 731
Fabio Massa Italy 12 175 0.4× 93 0.4× 300 1.3× 86 0.9× 18 0.2× 21 482
T. Bahri Italy 10 263 0.6× 58 0.2× 339 1.5× 103 1.1× 18 0.2× 17 545
Stephen S. Hale United States 12 172 0.4× 39 0.2× 180 0.8× 175 1.9× 32 0.4× 27 452
N. J. Cooper United Kingdom 13 200 0.5× 67 0.3× 33 0.1× 34 0.4× 50 0.6× 40 524
Samuel Herrick United States 11 370 0.8× 136 0.6× 550 2.4× 95 1.0× 78 1.0× 31 856

Countries citing papers authored by Thorsten Wilhelm

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Wilhelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Wilhelm

This figure shows the co-authorship network connecting the top 25 collaborators of Thorsten Wilhelm. A scholar is included among the top collaborators of Thorsten Wilhelm 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 Thorsten Wilhelm. Thorsten Wilhelm 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.
Wilhelm, Thorsten, et al.. (2022). Machine Learning on Mars: Open Challenges, Similarities and Differences to Earth Remote Sensing. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 5373–5376.
2.
Wilhelm, Thorsten, et al.. (2022). Learning the Link between Albedo and Reflectance: Machine Learning-Based Prediction of Hyperspectral Bands from CTX Images. Remote Sensing. 14(14). 3457–3457. 2 indexed citations
3.
Qian, Yuqi, Long Xiao, J. W. Head, et al.. (2021). Copernican‐Aged (<200 Ma) Impact Ejecta at the Chang'e‐5 Landing Site: Statistical Evidence From Crater Morphology, Morphometry, and Degradation Models. Geophysical Research Letters. 48(20). 35 indexed citations
4.
Wilhelm, Thorsten, et al.. (2021). Uncertainty-Based Unmixing of Space Weathered Lunar Spectra. Lunar and Planetary Science Conference. 1048. 1 indexed citations
5.
Zhang, Feng, J. W. Head, Christian Wöhler, et al.. (2021). The Lunar Mare Ring‐Moat Dome Structure (RMDS) Age Conundrum: Contemporaneous With Imbrian‐Aged Host Lava Flows or Emplaced in the Copernican?. Journal of Geophysical Research Planets. 126(8). 15 indexed citations
6.
Wilhelm, Thorsten & Christian Wöhler. (2021). Uncertainty Guided Recognition of Tiny Craters on the Moon. 5198–5205. 3 indexed citations
7.
Wilhelm, Thorsten, et al.. (2021). Uncertainty Introduced by Darkening Agents in the Lunar Regolith: An Unmixing Perspective. Remote Sensing. 13(22). 4702–4702.
8.
Qian, Yuqi, Long Xiao, J. W. Head, et al.. (2021). Copernican-aged (<200 Ma) Impact Ejecta at the Chang'e-5 Landing Site: Statistical Evidence from Crater Morphology, Morphometry and Degradation Models. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
Wilhelm, Thorsten, et al.. (2021). Towards Tackling Multi-Label Imbalances in Remote Sensing Imagery. 5782–5789. 13 indexed citations
10.
Wagner, Daniel, Alan M. Friedlander, Richard L. Pyle, et al.. (2020). Coral Reefs of the High Seas: Hidden Biodiversity Hotspots in Need of Protection. Frontiers in Marine Science. 7. 42 indexed citations
11.
Wilhelm, Thorsten, et al.. (2020). DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars. Remote Sensing. 12(23). 3981–3981. 28 indexed citations
12.
Wilhelm, Thorsten, René Grzeszick, Gernot A. Fink, & Christian Wöhler. (2019). Unsupervised Learning of Scene Categories on the Lunar Surface. 614–621. 1 indexed citations
13.
Wilhelm, Thorsten & Christian Wöhler. (2017). Improving Bayesian Mixture Models for Colour Image Segmentation with Superpixels. 443–450. 1 indexed citations
14.
Christie, Patrick, Nathan Bennett, Noella J. Gray, et al.. (2017). Why people matter in ocean governance: Incorporating human dimensions into large-scale marine protected areas. Marine Policy. 84. 273–284. 141 indexed citations
15.
Wilhelm, Thorsten & Christian Wöhler. (2017). Boundary aware image segmentation with unsupervised mixture models. 1. 3325–3329. 4 indexed citations
16.
Wilhelm, Thorsten & Christian Wöhler. (2016). Flexible Mixture Models for Colour Image Segmentation of Natural Images. 155. 1–7. 1 indexed citations
17.
Friedlander, Alan M., et al.. (2016). Co‐operation between large‐scale MPAs: successful experiences from the Pacific Ocean. Aquatic Conservation Marine and Freshwater Ecosystems. 26(S2). 126–141. 31 indexed citations
18.
Toonen, Robert J., Thorsten Wilhelm, Sara M. Maxwell, et al.. (2013). One size does not fit all: The emerging frontier in large-scale marine conservation. Marine Pollution Bulletin. 77(1-2). 7–10. 120 indexed citations
20.
Wilhelm, Thorsten, et al.. (1992). Transport of Water and Dye Tracers Through Snow. 365–370. 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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