Thorsten Behrens

7.9k total citations · 2 hit papers
65 papers, 4.8k citations indexed

About

Thorsten Behrens is a scholar working on Environmental Engineering, Soil Science and Artificial Intelligence. According to data from OpenAlex, Thorsten Behrens has authored 65 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Environmental Engineering, 30 papers in Soil Science and 13 papers in Artificial Intelligence. Recurrent topics in Thorsten Behrens's work include Soil Geostatistics and Mapping (48 papers), Soil erosion and sediment transport (23 papers) and Geochemistry and Geologic Mapping (12 papers). Thorsten Behrens is often cited by papers focused on Soil Geostatistics and Mapping (48 papers), Soil erosion and sediment transport (23 papers) and Geochemistry and Geologic Mapping (12 papers). Thorsten Behrens collaborates with scholars based in Germany, Australia and China. Thorsten Behrens's co-authors include Raphael A. Viscarra Rossel, Thomas Scholten, Karsten Schmidt, Helmut Elsenbeer, Michael Märker, A‐Xing Zhu, Leonardo Ramírez-López, José Alexandre Melo Demattê, R.A. MacMillan and Zhou Shi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Soil Biology and Biochemistry.

In The Last Decade

Thorsten Behrens

64 papers receiving 4.7k citations

Hit Papers

Using data mining to model and interpret soil diffuse ref... 2008 2026 2014 2020 2010 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thorsten Behrens Germany 34 3.5k 1.7k 1.6k 1.1k 675 65 4.8k
Kenneth A. Sudduth United States 48 3.9k 1.1× 2.4k 1.4× 739 0.5× 1.8k 1.7× 477 0.7× 222 7.9k
Philippe Lagacherie France 37 2.8k 0.8× 1.5k 0.9× 1.2k 0.8× 1.2k 1.1× 222 0.3× 107 4.1k
Mogens Humlekrog Greve Denmark 36 2.1k 0.6× 1.4k 0.8× 792 0.5× 919 0.8× 245 0.4× 145 3.7k
Eyal Ben‐Dor Israel 40 4.2k 1.2× 1.3k 0.8× 2.7k 1.7× 1.9k 1.7× 1.1k 1.6× 173 6.7k
José Alexandre Melo Demattê Brazil 47 5.9k 1.7× 2.0k 1.2× 3.8k 2.4× 1.8k 1.6× 1.5k 2.2× 328 7.9k
José Padarian Australia 26 1.7k 0.5× 894 0.5× 632 0.4× 703 0.6× 395 0.6× 50 3.0k
Asim Biswas Canada 44 2.8k 0.8× 1.8k 1.1× 697 0.4× 1.2k 1.2× 285 0.4× 288 6.6k
Cristine L.S. Morgan United States 34 1.7k 0.5× 950 0.6× 717 0.5× 560 0.5× 507 0.8× 125 3.2k
Thomas F. A. Bishop Australia 31 2.6k 0.8× 1.6k 1.0× 731 0.5× 990 0.9× 160 0.2× 110 4.6k
Jianli Ding China 36 2.3k 0.7× 536 0.3× 901 0.6× 1.5k 1.4× 342 0.5× 195 4.4k

Countries citing papers authored by Thorsten Behrens

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Behrens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Behrens

This figure shows the co-authorship network connecting the top 25 collaborators of Thorsten Behrens. A scholar is included among the top collaborators of Thorsten Behrens 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 Behrens. Thorsten Behrens 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.
Stumpf, Felix, Thorsten Behrens, Karsten Schmidt, & Armin Keller. (2024). Exploiting Soil and Remote Sensing Data Archives for 3D Mapping of Multiple Soil Properties at the Swiss National Scale. Remote Sensing. 16(15). 2712–2712. 5 indexed citations
2.
Rossel, Raphael A. Viscarra, Mingxi Zhang, Thorsten Behrens, & R. Webster. (2024). A warming climate will make Australian soil a net emitter of atmospheric CO2. npj Climate and Atmospheric Science. 7(1). 8 indexed citations
3.
Rossel, Raphael A. Viscarra, Thorsten Behrens, Eyal Ben‐Dor, et al.. (2022). Diffuse reflectance spectroscopy for estimating soil properties: A technology for the 21st century. European Journal of Soil Science. 73(4). 75 indexed citations
4.
Bartelheim, Martin, et al.. (2022). Contextual spatial modelling in the horizontal and vertical domains. Scientific Reports. 12(1). 9496–9496. 6 indexed citations
5.
Taghizadeh‐Mehrjardi, Ruhollah, Karsten Schmidt, Mojtaba Zeraatpisheh, et al.. (2019). Soil organic carbon mapping using state-of-the-art machine learning algorithms and deep neural networks in different climatic regions of Iran. EGUGA. 4146. 2 indexed citations
6.
Behrens, Thorsten, Raphael A. Viscarra Rossel, Ruth Kerry, et al.. (2019). The relevant range of scales for multi-scale contextual spatial modelling. Scientific Reports. 9(1). 14800–14800. 23 indexed citations
7.
Behrens, Thorsten, Helge Bruelheide, Peter Kühn, et al.. (2019). Comparison of catchment scale 3D and 2.5D modelling of soil organic carbon stocks in Jiangxi Province, PR China. PLoS ONE. 14(8). e0220881–e0220881. 27 indexed citations
8.
Behrens, Thorsten, Karsten Schmidt, R.A. MacMillan, & Raphael A. Viscarra Rossel. (2018). Multi-scale digital soil mapping with deep learning. Scientific Reports. 8(1). 15244–15244. 104 indexed citations
9.
Hounkpatin, Ozias, Karsten Schmidt, Felix Stumpf, et al.. (2018). Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso). Scientific Reports. 8(1). 9959–9959. 46 indexed citations
10.
Stumpf, Felix, Sarah Schönbrodt‐Stitt, Karsten Schmidt, Thorsten Behrens, & Thomas Scholten. (2013). Erosion Modeling in Central China - Soil Data Acquisition by Conditioned Latin Hypercube Sampling and Incorporation of Legacy Data. EGU General Assembly Conference Abstracts. 1 indexed citations
11.
Ramírez-López, Leonardo, Thorsten Behrens, Karsten Schmidt, et al.. (2013). The spectrum-based learner: A new local approach for modeling soil vis–NIR spectra of complex datasets. Geoderma. 195-196. 268–279. 172 indexed citations
12.
Schönbrodt‐Stitt, Sarah, et al.. (2013). Approximation and spatial regionalization of rainfall erosivity based on sparse data in a mountainous catchment of the Yangtze River in Central China. Environmental Science and Pollution Research. 20(10). 6917–6933. 29 indexed citations
13.
Schönbrodt‐Stitt, Sarah, Thorsten Behrens, & Thomas Scholten. (2010). Three Gorges Reservoir Area: soil erosion under natural condition vs. soil erosion under current land use. EGU General Assembly Conference Abstracts. 13154. 1 indexed citations
14.
Rossel, Raphael A. Viscarra, Jan Eriksson, Anton Thomsen, et al.. (2009). The Soil Spectroscopy Group and the development of a global soil spectral library. EGUGA. 14021. 18 indexed citations
15.
Felix‐Henningsen, Peter, et al.. (2009). Applicability of ground‐penetrating radar as a tool for nondestructive soil‐depth mapping on Pleistocene periglacial slope deposits. Journal of Plant Nutrition and Soil Science. 173(2). 173–184. 20 indexed citations
16.
Qin, Cheng‐Zhi, A‐Xing Zhu, Tao Pei, et al.. (2009). An approach to computing topographic wetness index based on maximum downslope gradient. Precision Agriculture. 12(1). 32–43. 145 indexed citations
17.
Dahlke, Helen E., Thorsten Behrens, Jan Seibert, & Lotta Andersson. (2009). Test of statistical means for the extrapolation of soil depth point information using overlays of spatial environmental data and bootstrapping techniques. Hydrological Processes. 23(21). 3017–3029. 21 indexed citations
18.
Behrens, Thorsten & Thomas Scholten. (2006). Digital soil mapping in Germany—a review. Journal of Plant Nutrition and Soil Science. 169(3). 434–443. 85 indexed citations
19.
Behrens, Thorsten, Karl Rohr, & H. Siegfried Stiehl. (2003). Robust segmentation of tubular structures in 3-D medical images by parametric object detection and tracking. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 33(4). 554–561. 54 indexed citations
20.
Behrens, Thorsten, Karl Rohr, & H. Siegfried Stiehl. (2001). Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images. Vision Modeling and Visualization. 491–498. 3 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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