Ursula Geßner

3.8k total citations
65 papers, 2.7k citations indexed

About

Ursula Geßner is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Ursula Geßner has authored 65 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Ecology, 34 papers in Global and Planetary Change and 24 papers in Environmental Engineering. Recurrent topics in Ursula Geßner's work include Remote Sensing in Agriculture (40 papers), Remote Sensing and LiDAR Applications (22 papers) and Land Use and Ecosystem Services (16 papers). Ursula Geßner is often cited by papers focused on Remote Sensing in Agriculture (40 papers), Remote Sensing and LiDAR Applications (22 papers) and Land Use and Ecosystem Services (16 papers). Ursula Geßner collaborates with scholars based in Germany, Luxembourg and South Africa. Ursula Geßner's co-authors include Claudia Kuenzer, Stefan Dech, Igor Klein, A.J. Dietz, Christopher Conrad, Aiym Orynbaikyzy, Vahid Naeimi, Doris Klein, Miriam Machwitz and Karina Winkler and has published in prestigious journals such as Remote Sensing of Environment, Frontiers in Plant Science and International Journal of Remote Sensing.

In The Last Decade

Ursula Geßner

60 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ursula Geßner 1.4k 1.2k 786 616 353 65 2.7k
Gaohuan Liu 1.3k 0.9× 1.4k 1.1× 639 0.8× 756 1.2× 402 1.1× 134 3.0k
Chong Huang 1.3k 0.9× 1.5k 1.2× 542 0.7× 777 1.3× 300 0.8× 152 3.0k
Sophie Bontemps 1.7k 1.2× 1.5k 1.2× 786 1.0× 681 1.1× 168 0.5× 43 2.8k
Étienne Bartholomé 1.9k 1.3× 1.4k 1.2× 709 0.9× 556 0.9× 231 0.7× 32 2.8k
Xiangming Xiao 1.7k 1.2× 1.6k 1.3× 490 0.6× 608 1.0× 269 0.8× 41 2.7k
He Yin 1.1k 0.8× 959 0.8× 423 0.5× 377 0.6× 237 0.7× 64 2.1k
Xiaoman Huang 2.0k 1.4× 1.4k 1.2× 938 1.2× 792 1.3× 224 0.6× 14 2.9k
Natascha Oppelt 982 0.7× 1.1k 0.9× 421 0.5× 518 0.8× 654 1.9× 95 2.8k
Jun Xiong 1.2k 0.8× 1.2k 1.0× 573 0.7× 484 0.8× 161 0.5× 25 2.0k

Countries citing papers authored by Ursula Geßner

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Geßner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ursula Geßner

This figure shows the co-authorship network connecting the top 25 collaborators of Ursula Geßner. A scholar is included among the top collaborators of Ursula Geßner 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 Ursula Geßner. Ursula Geßner 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.
Geßner, Ursula, Christopher R. Hakkenberg, Stefanie Holzwarth, et al.. (2025). Characterizing local forest structural complexity based on multi-platform and -sensor derived indicators. Ecological Indicators. 170. 113085–113085. 2 indexed citations
2.
Reinermann, Sophie, Andrea Kaim, Anne Schucknecht, et al.. (2025). Grassland yield estimations – potentials and limitations of remote sensing in comparison to process-based modeling and field measurements. Biogeosciences. 22(18). 4969–4992. 2 indexed citations
3.
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Asam, Sarah, Stefan Dech, Ursula Geßner, et al.. (2025). Landscape structure, climate variability, and soil quality shape crop biomass patterns in agricultural ecosystems of Bavaria. Frontiers in Plant Science. 16. 1630087–1630087.
5.
Asam, Sarah, et al.. (2025). Hedgerow map of Bavaria, Germany, based on orthophotos and convolutional neural networks. Remote Sensing Applications Society and Environment. 37. 101451–101451. 3 indexed citations
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8.
Geßner, Ursula, Sophie Reinermann, Sarah Asam, & Claudia Kuenzer. (2023). Vegetation Stress Monitor—Assessment of Drought and Temperature-Related Effects on Vegetation in Germany Analyzing MODIS Time Series over 23 Years. Remote Sensing. 15(22). 5428–5428. 5 indexed citations
9.
Reinermann, Sophie, Sarah Asam, Ursula Geßner, Tobias Ullmann, & Claudia Kuenzer. (2023). Multi-annual grassland mowing dynamics in Germany: spatio-temporal patterns and the influence of climate, topographic and socio-political conditions. Frontiers in Environmental Science. 11. 4 indexed citations
10.
Eisfelder, Christina, Sarah Asam, Andreas Hirner, et al.. (2023). Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series—The TIMELINE NDVI Product. Remote Sensing. 15(14). 3616–3616. 34 indexed citations
11.
Holzwarth, Stefanie, Frank Thonfeld, Sahra Abdullahi, et al.. (2023). Earth-Observation-Based Monitoring of Forests in Germany—Recent Progress and Research Frontiers: A Review. Remote Sensing. 15(17). 4234–4234. 15 indexed citations
12.
Thonfeld, Frank, et al.. (2023). Forest Structure Characterization in Germany: Novel Products and Analysis Based on GEDI, Sentinel-1 and Sentinel-2 Data. Remote Sensing. 15(8). 1969–1969. 28 indexed citations
13.
Urban, Marcel, Clémence Dubois, Andreas Hirner, et al.. (2021). Using Sentinel-1 and Sentinel-2 Time Series for Slangbos Encroachment Mapping in the Free State Province, South Africa. elib (German Aerospace Center). 2 indexed citations
14.
Huth, Juliane, Ursula Geßner, Igor Klein, et al.. (2020). Analyzing Water Dynamics Based on Sentinel-1 Time Series—a Study for Dongting Lake Wetlands in China. Remote Sensing. 12(11). 1761–1761. 27 indexed citations
15.
Holzwarth, Stefanie, Frank Thonfeld, Sahra Abdullahi, et al.. (2020). Earth Observation Based Monitoring of Forests in Germany: A Review. Remote Sensing. 12(21). 3570–3570. 65 indexed citations
16.
Orynbaikyzy, Aiym, Ursula Geßner, Benjamin Mack, & Christopher Conrad. (2020). Crop Type Classification Using Fusion of Sentinel-1 and Sentinel-2 Data: Assessing the Impact of Feature Selection, Optical Data Availability, and Parcel Sizes on the Accuracies. Remote Sensing. 12(17). 2779–2779. 94 indexed citations
17.
Faye, Babacar, Heidi Webber, Jesse B. Naab, et al.. (2018). Impacts of 1.5 versus 2.0 °C on cereal yields in the West African Sudan Savanna. Environmental Research Letters. 13(3). 34014–34014. 71 indexed citations
18.
Machwitz, Miriam, Ursula Geßner, Christopher Conrad, et al.. (2015). Modelling the Gross Primary Productivity of West Africa with the Regional Biomass Model RBM+, using optimized 250 m MODIS FPAR and fractional vegetation cover information. International Journal of Applied Earth Observation and Geoinformation. 43. 177–194. 23 indexed citations
19.
Geßner, Ursula, Miriam Machwitz, Christopher Conrad, & Stefan Dech. (2012). Estimating the fractional cover of growth forms and bare surface in savannas. A multi-resolution approach based on regression tree ensembles. Remote Sensing of Environment. 129. 90–102. 107 indexed citations
20.
Hüttich, Christian, Ursula Geßner, Martin Herold, et al.. (2009). On the Suitability of MODIS Time Series Metrics to Map Vegetation Types in Dry Savanna Ecosystems: A Case Study in the Kalahari of NE Namibia. Remote Sensing. 1(4). 620–643. 68 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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