Peter Selsam

930 total citations
21 papers, 391 citations indexed

About

Peter Selsam is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Peter Selsam has authored 21 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 8 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in Peter Selsam's work include Remote Sensing in Agriculture (7 papers), Land Use and Ecosystem Services (6 papers) and Remote Sensing and LiDAR Applications (3 papers). Peter Selsam is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Land Use and Ecosystem Services (6 papers) and Remote Sensing and LiDAR Applications (3 papers). Peter Selsam collaborates with scholars based in Germany, United Kingdom and Hungary. Peter Selsam's co-authors include Angela Lausch, Jan Bumberger, Thilo Wellmann, Toralf Kirsten, Dagmar Haase, Sonja Knapp, Nadja Kabisch, Marion Pause, Duccio Rocchini and Josef Settele and has published in prestigious journals such as The Science of The Total Environment, International Journal of Environmental Research and Public Health and Agriculture Ecosystems & Environment.

In The Last Decade

Peter Selsam

19 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Selsam Germany 10 218 173 85 67 52 21 391
Reshma M. Ramachandran India 8 269 1.2× 131 0.8× 71 0.8× 35 0.5× 43 0.8× 8 393
Trond Simensen Norway 7 267 1.2× 174 1.0× 96 1.1× 41 0.6× 46 0.9× 17 460
H. Jaime Hernández Chile 8 288 1.3× 199 1.2× 87 1.0× 51 0.8× 80 1.5× 17 511
Meghan Halabisky United States 11 283 1.3× 251 1.5× 125 1.5× 48 0.7× 48 0.9× 19 449
Katherine S. Willis United States 7 307 1.4× 231 1.3× 94 1.1× 43 0.6× 37 0.7× 8 446
Lucie Kupková Czechia 10 178 0.8× 164 0.9× 59 0.7× 48 0.7× 30 0.6× 42 358
Joseph P. Spruce United States 11 305 1.4× 298 1.7× 131 1.5× 81 1.2× 49 0.9× 29 487
Azucena Pérez‐Vega Mexico 5 346 1.6× 161 0.9× 44 0.5× 46 0.7× 64 1.2× 12 471
Beth Cole United Kingdom 8 276 1.3× 244 1.4× 114 1.3× 32 0.5× 23 0.4× 12 531
Nate Herold United States 7 175 0.8× 219 1.3× 65 0.8× 21 0.3× 25 0.5× 14 390

Countries citing papers authored by Peter Selsam

Since Specialization
Citations

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

Fields of papers citing papers by Peter Selsam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Selsam

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Selsam. A scholar is included among the top collaborators of Peter Selsam 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 Peter Selsam. Peter Selsam 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.
Lausch, Angela, Peter Selsam, Thomas Heege, et al.. (2025). Monitoring and modelling landscape structure, land use intensity and landscape change as drivers of water quality using remote sensing. The Science of The Total Environment. 960. 178347–178347. 2 indexed citations
2.
Sritongchuay, Tuanjit, Michael Beckmann, Bo Dalsgaard, et al.. (2025). Crop diversity in the landscape boosts pollinators and yield of pollinator dependent crops across the world.. Agriculture Ecosystems & Environment. 395. 109943–109943.
3.
Lausch, Angela, Jan Bumberger, András Jung, et al.. (2025). Monitoring Agricultural Land Use Intensity with Remote Sensing and Traits. Agriculture. 15(21). 2233–2233.
4.
Wolf, Kathrin, Siqi Zhang, Marco Dallavalle, et al.. (2024). Sex-specific associations of environmental exposures with prevalent diabetes and obesity – Results from the KORA Fit study. Environmental Research. 252(Pt 3). 118965–118965. 9 indexed citations
5.
Lausch, Angela, Lutz Bannehr, Stella A. Berger, et al.. (2024). Monitoring Water Diversity and Water Quality with Remote Sensing and Traits. Remote Sensing. 16(13). 2425–2425. 12 indexed citations
6.
Lausch, Angela, Peter Selsam, Marion Pause, & Jan Bumberger. (2024). Monitoring vegetation- and geodiversity with remote sensing and traits. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 382(2269). 20230058–20230058. 9 indexed citations
7.
Selsam, Peter, Jan Bumberger, Thilo Wellmann, et al.. (2024). Ecosystem Integrity Remote Sensing—Modelling and Service Tool—ESIS/Imalys. Remote Sensing. 16(7). 1139–1139. 6 indexed citations
8.
Schwettmann, Lars, et al.. (2023). Do Multiple Sex/Gender Dimensions Play a Role in the Association of Green Space and Self-Rated Health? Model-Based Recursive Partitioning Results from the KORA INGER Study. International Journal of Environmental Research and Public Health. 20(7). 5241–5241. 2 indexed citations
9.
Schwettmann, Lars, et al.. (2022). Decision Tree Analyses to Explore the Relevance of Multiple Sex/Gender Dimensions for the Exposure to Green Spaces: Results from the KORA INGER Study. International Journal of Environmental Research and Public Health. 19(12). 7476–7476. 7 indexed citations
10.
Kabisch, Nadja, Peter Selsam, Toralf Kirsten, Angela Lausch, & Jan Bumberger. (2018). A multi-sensor and multi-temporal remote sensing approach to detect land cover change dynamics in heterogeneous urban landscapes. Ecological Indicators. 99. 273–282. 53 indexed citations
11.
Banda, Kawawa, et al.. (2018). Assessment of trends in inundation extent in the Barotse Floodplain, upper Zambezi River Basin: A remote sensing-based approach. Journal of Hydrology Regional Studies. 15. 149–170. 39 indexed citations
12.
Wellmann, Thilo, et al.. (2017). Urban land use intensity assessment: The potential of spatio-temporal spectral traits with remote sensing. Ecological Indicators. 85. 190–203. 67 indexed citations
13.
Selsam, Peter, et al.. (2016). Remote Sensing Image Analysis Without Expert Knowledge - A Web-Based Classification Tool On Top of Taverna Workflow Management System. IOP Conference Series Earth and Environmental Science. 44. 42020–42020. 2 indexed citations
14.
15.
Lausch, Angela, Lutz Bannehr, Michael Beckmann, et al.. (2016). Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives. Ecological Indicators. 70. 317–339. 124 indexed citations
16.
Helmschrot, Jörg, Peter Selsam, Kpérkouma Wala, et al.. (2015). Land cover changes assessment using object‐based image analysis in the Binah River watershed (Togo and Benin). Earth and Space Science. 2(10). 403–416. 20 indexed citations
17.
Selsam, Peter, Kpérkouma Wala, Wolfgang‐Albert Flügel, et al.. (2014). Assessment of land-cover changes in a sub-catchment of the Oti basin (West Africa): A case study of the Kara River basin. 2014(1). 151–170. 9 indexed citations
18.
Voigt, Winfried, et al.. (2013). Patch occupancy by the Chinese Grouse (Tetrastes sewerzowi) in a fragmented landscape. 4(3). 232–239. 5 indexed citations
19.
Kralisch, Sven, et al.. (2012). ILMS – a Software Platform for Integrated Environmental Management. ScholarsArchive (Brigham Young University). 9 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Reshma M. Ramachandran Breakdown of academic impact, for papers by Trond Simensen Breakdown of academic impact, for papers by H. Jaime Hernández Breakdown of academic impact, for papers by Meghan Halabisky Breakdown of academic impact, for papers by Katherine S. Willis Breakdown of academic impact, for papers by Lucie Kupková Breakdown of academic impact, for papers by Joseph P. Spruce Breakdown of academic impact, for papers by Azucena Pérez‐Vega Breakdown of academic impact, for papers by Beth Cole Breakdown of academic impact, for papers by Nate Herold
Rankless by CCL
2026