Thomas Jarmer

1.5k total citations
57 papers, 1.2k citations indexed

About

Thomas Jarmer is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, Thomas Jarmer has authored 57 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Ecology, 31 papers in Environmental Engineering and 19 papers in Plant Science. Recurrent topics in Thomas Jarmer's work include Remote Sensing in Agriculture (38 papers), Soil Geostatistics and Mapping (16 papers) and Remote Sensing and LiDAR Applications (13 papers). Thomas Jarmer is often cited by papers focused on Remote Sensing in Agriculture (38 papers), Soil Geostatistics and Mapping (16 papers) and Remote Sensing and LiDAR Applications (13 papers). Thomas Jarmer collaborates with scholars based in Germany, Israel and United States. Thomas Jarmer's co-authors include Bastian Siegmann, Thomas Udelhoven, Christoph Emmerling, Wolfgang Schwanghart, Dieter Trautz, Insa Kühling, Michael Vohland, Willy Werner, Clement Atzberger and Martin Schlerf and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Soil Science Society of America Journal.

In The Last Decade

Thomas Jarmer

56 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Jarmer Germany 17 661 601 349 282 206 57 1.2k
Xinle Zhang China 23 1.1k 1.6× 850 1.4× 211 0.6× 574 2.0× 159 0.8× 93 1.7k
Henning Buddenbaum Germany 21 1.0k 1.5× 1.0k 1.7× 316 0.9× 431 1.5× 397 1.9× 61 1.8k
Anton Thomsen Denmark 18 459 0.7× 313 0.5× 222 0.6× 162 0.6× 103 0.5× 29 935
Fabio Castaldi Italy 26 1.4k 2.1× 1.0k 1.7× 297 0.9× 718 2.5× 204 1.0× 48 1.9k
R. M. Patel Canada 17 368 0.6× 449 0.7× 413 1.2× 94 0.3× 236 1.1× 37 1.3k
Nathalie Gorretta France 19 417 0.6× 654 1.1× 541 1.6× 146 0.5× 491 2.4× 38 1.3k
Marcos Rafael Nanni Brazil 25 1.1k 1.7× 826 1.4× 769 2.2× 651 2.3× 631 3.1× 137 2.3k
Asa Gholizadeh Czechia 27 1.4k 2.1× 806 1.3× 374 1.1× 988 3.5× 483 2.3× 71 2.4k
Wenting Han China 24 588 0.9× 898 1.5× 703 2.0× 57 0.2× 113 0.5× 83 1.7k

Countries citing papers authored by Thomas Jarmer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Jarmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Jarmer

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Jarmer. A scholar is included among the top collaborators of Thomas Jarmer 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 Thomas Jarmer. Thomas Jarmer 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.
Jarmer, Thomas, et al.. (2025). Comparative analysis of UAV-based LiDAR and photogrammetric systems for the detection of terrain anomalies in a historical conflict landscape. Science of Remote Sensing. 11. 100191–100191. 6 indexed citations
2.
Jarmer, Thomas, et al.. (2025). Site-specific mechanical weed management in maize (Zea mays) in North-West Germany. Crop Protection. 190. 107123–107123. 2 indexed citations
3.
Waske, Björn, et al.. (2025). Multi-Modal Vision Transformer for high-resolution soil texture prediction of German agricultural soils using remote sensing imagery. Remote Sensing of Environment. 331. 114985–114985. 3 indexed citations
4.
5.
Jarmer, Thomas, et al.. (2024). Spatial Resolution as a Factor for Efficient UAV-Based Weed Mapping—A Soybean Field Case Study. Remote Sensing. 16(10). 1778–1778. 6 indexed citations
6.
Höferlin, Markus, et al.. (2023). Cognitive Weeding: An Approach to Single-Plant Specific Weed Regulation. KI - Künstliche Intelligenz. 37(2-4). 175–181. 4 indexed citations
7.
Kiehl, Kathrin, et al.. (2023). Convolutional Neural Network Maps Plant Communities in Semi-Natural Grasslands Using Multispectral Unmanned Aerial Vehicle Imagery. Remote Sensing. 15(7). 1945–1945. 12 indexed citations
8.
Siegmann, Bastian, et al.. (2022). Bayesian Hierarchical Models can Infer Interpretable Predictions of Leaf Area Index From Heterogeneous Datasets. Frontiers in Environmental Science. 9. 2 indexed citations
9.
Jarmer, Thomas, et al.. (2021). Learning a Transform Base for the Multi- to Hyperspectral Sensor Network with K-SVD. Sensors. 21(21). 7296–7296. 3 indexed citations
10.
Kühling, Insa, et al.. (2020). UAV-Based RGB Imagery for Hokkaido Pumpkin (Cucurbita max.) Detection and Yield Estimation. Sensors. 21(1). 118–118. 22 indexed citations
11.
Bauer, Jan, Thomas Jarmer, Siegfried Schittenhelm, Bastian Siegmann, & Nils Aschenbruck. (2019). Processing and filtering of leaf area index time series assessed by in-situ wireless sensor networks. Computers and Electronics in Agriculture. 165. 104867–104867. 15 indexed citations
12.
Jarmer, Thomas, et al.. (2018). Spectral data source effect on crop state estimation by vegetation indices. Environmental Earth Sciences. 77(22). 8 indexed citations
13.
Kühling, Insa, et al.. (2018). High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction. Remote Sensing. 10(12). 2000–2000. 134 indexed citations
14.
Siegmann, Bastian, Thomas Jarmer, Florian Beyer, & Manfred Ehlers. (2015). The Potential of Pan-Sharpened EnMAP Data for the Assessment of Wheat LAI. Remote Sensing. 7(10). 12737–12762. 19 indexed citations
15.
Koenig, Kristina, et al.. (2015). Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture. ISPRS Journal of Photogrammetry and Remote Sensing. 104. 112–125. 58 indexed citations
16.
Beyer, Florian, Thomas Jarmer, & Bastian Siegmann. (2015). Identifikation landwirtschaftlicher Kulturen in Nordisrael mittels multitemporaler RapidEye-Daten. Photogrammetrie - Fernerkundung - Geoinformation. 2015(1). 21–32. 8 indexed citations
17.
Koenig, Kristina, et al.. (2013). Radiometric Correction of Terrestrial LiDAR Data for Mapping of Harvest Residues Density. SHILAP Revista de lepidopterología. II-5/W2. 133–138. 5 indexed citations
18.
Siegmann, Bastian, et al.. (2012). Using hyperspectral remote sensing data for the assessment of topsoil organic carbon from agricultural soils. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5 indexed citations
19.
Lukosch, Stephan, Till Schümmer, & Thomas Jarmer. (2007). There's more than just a LOGIN -- Five patterns that make connecting to a collaborative system more convenient.. European Conference on Pattern Languages of Programs. 389–408. 1 indexed citations
20.
Udelhoven, Thomas, Christoph Emmerling, & Thomas Jarmer. (2003). Quantitative analysis of soil chemical properties with diffuse reflectance spectrometry and partial least-square regression: A feasibility study. Plant and Soil. 251(2). 319–329. 236 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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