Florian Ellsäßer

431 total citations
11 papers, 121 citations indexed

About

Florian Ellsäßer is a scholar working on Ecology, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, Florian Ellsäßer has authored 11 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 8 papers in Global and Planetary Change and 5 papers in Nature and Landscape Conservation. Recurrent topics in Florian Ellsäßer's work include Plant Water Relations and Carbon Dynamics (7 papers), Forest ecology and management (5 papers) and Oil Palm Production and Sustainability (5 papers). Florian Ellsäßer is often cited by papers focused on Plant Water Relations and Carbon Dynamics (7 papers), Forest ecology and management (5 papers) and Oil Palm Production and Sustainability (5 papers). Florian Ellsäßer collaborates with scholars based in Germany, Indonesia and Netherlands. Florian Ellsäßer's co-authors include Alexander Röll, Dirk Hölscher, Hendrayanto Hendrayanto, Christian Stiegler, Alexander Knohl, Bernhard Schuldt, Tania June, Holger Kreft, Bambang Irawan and Martin Ehbrecht and has published in prestigious journals such as SHILAP Revista de lepidopterología, Forest Ecology and Management and Remote Sensing.

In The Last Decade

Florian Ellsäßer

11 papers receiving 118 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian Ellsäßer Germany 7 72 57 38 24 23 11 121
John Cunha Brazil 7 78 1.1× 66 1.2× 29 0.8× 11 0.5× 19 0.8× 17 131
Hatim Abdalla M. ElKhidir Sudan 3 116 1.6× 64 1.1× 26 0.7× 13 0.5× 17 0.7× 4 141
Sofía Calvo-Rodríguez Canada 7 101 1.4× 67 1.2× 25 0.7× 12 0.5× 63 2.7× 10 159
Tiana Hammer Germany 4 103 1.4× 85 1.5× 31 0.8× 35 1.5× 20 0.9× 4 135
Arnan Araza Netherlands 7 68 0.9× 43 0.8× 52 1.4× 7 0.3× 24 1.0× 11 113
Gina Maskell Germany 3 71 1.0× 54 0.9× 21 0.6× 12 0.5× 6 0.3× 4 129
Vinícius Vieira Mesquita Brazil 5 68 0.9× 75 1.3× 25 0.7× 16 0.7× 7 0.3× 8 158
Morgane Dendoncker Belgium 6 86 1.2× 65 1.1× 30 0.8× 20 0.8× 49 2.1× 12 166
Nunung Puji Nugroho Indonesia 6 71 1.0× 38 0.7× 37 1.0× 6 0.3× 41 1.8× 19 136
Nikolai Kalischek Switzerland 5 68 0.9× 109 1.9× 121 3.2× 6 0.3× 67 2.9× 5 240

Countries citing papers authored by Florian Ellsäßer

Since Specialization
Citations

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

Fields of papers citing papers by Florian Ellsäßer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Ellsäßer

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Ellsäßer. A scholar is included among the top collaborators of Florian Ellsäßer 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 Florian Ellsäßer. Florian Ellsäßer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Alsadik, Bashar, et al.. (2024). Remote Sensing Technologies Using UAVs for Pest and Disease Monitoring: A Review Centered on Date Palm Trees. Remote Sensing. 16(23). 4371–4371. 6 indexed citations
2.
Röll, Alexander, et al.. (2023). Complex canopy structures control tree transpiration: A study based on 3D modelling in a tropical rainforest. Hydrological Processes. 37(12). 1 indexed citations
3.
Ellsäßer, Florian, et al.. (2023). UAV-based thermography reveals spatial and temporal variability of evapotranspiration from a tropical rainforest. Frontiers in Forests and Global Change. 6. 6 indexed citations
5.
Röll, Alexander, Florian Ellsäßer, Martin Ehbrecht, et al.. (2021). Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system. SHILAP Revista de lepidopterología. 39. 107615–107615. 1 indexed citations
6.
Ellsäßer, Florian, Christian Stiegler, Alexander Röll, et al.. (2021). Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation. Biogeosciences. 18(3). 861–872. 11 indexed citations
7.
Röll, Alexander, Florian Ellsäßer, Martin Ehbrecht, et al.. (2021). Microclimate and land surface temperature in a biodiversity enriched oil palm plantation. Forest Ecology and Management. 497. 119480–119480. 19 indexed citations
8.
Ellsäßer, Florian, Alexander Röll, Christian Stiegler, Hendrayanto Hendrayanto, & Dirk Hölscher. (2020). Introducing QWaterModel, a QGIS plugin for predicting evapotranspiration from land surface temperatures. Environmental Modelling & Software. 130. 104739–104739. 25 indexed citations
10.
Röll, Alexander, et al.. (2020). Airborne Tree Crown Detection for Predicting Spatial Heterogeneity of Canopy Transpiration in a Tropical Rainforest. Remote Sensing. 12(4). 651–651. 16 indexed citations
11.
Ellsäßer, Florian, et al.. (2019). Drone‐based photogrammetry‐derived crown metrics for predicting tree and oil palm water use. Ecohydrology. 12(6). 15 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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