Karsten Schmidt

4.7k total citations
59 papers, 2.7k citations indexed

About

Karsten Schmidt is a scholar working on Environmental Engineering, Soil Science and Civil and Structural Engineering. According to data from OpenAlex, Karsten Schmidt has authored 59 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Environmental Engineering, 26 papers in Soil Science and 11 papers in Civil and Structural Engineering. Recurrent topics in Karsten Schmidt's work include Soil Geostatistics and Mapping (28 papers), Soil erosion and sediment transport (22 papers) and Soil and Unsaturated Flow (11 papers). Karsten Schmidt is often cited by papers focused on Soil Geostatistics and Mapping (28 papers), Soil erosion and sediment transport (22 papers) and Soil and Unsaturated Flow (11 papers). Karsten Schmidt collaborates with scholars based in Germany, China and Switzerland. Karsten Schmidt's co-authors include Thomas Scholten, Thorsten Behrens, A‐Xing Zhu, Leonardo Ramírez-López, Raphael A. Viscarra Rossel, R.A. MacMillan, Peter Kühn, José Alexandre Melo Demattê, Ruhollah Taghizadeh‐Mehrjardi and Jin He and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Karsten Schmidt

58 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karsten Schmidt Germany 31 1.7k 906 633 633 399 59 2.7k
José Padarian Australia 26 1.7k 1.0× 894 1.0× 703 1.1× 632 1.0× 520 1.3× 50 3.0k
Mogens Humlekrog Greve Denmark 36 2.1k 1.2× 1.4k 1.5× 919 1.5× 792 1.3× 627 1.6× 145 3.7k
Gabriele Buttafuocò Italy 31 1.3k 0.8× 554 0.6× 540 0.9× 658 1.0× 214 0.5× 87 2.5k
Cristine L.S. Morgan United States 34 1.7k 1.0× 950 1.0× 560 0.9× 717 1.1× 525 1.3× 125 3.2k
Pierre Roudier New Zealand 19 1.1k 0.7× 704 0.8× 488 0.8× 382 0.6× 232 0.6× 45 2.0k
Yu-Guo Zhao China 30 1.3k 0.8× 1.2k 1.3× 745 1.2× 434 0.7× 360 0.9× 78 3.2k
Thomas F. A. Bishop Australia 31 2.6k 1.6× 1.6k 1.8× 990 1.6× 731 1.2× 643 1.6× 110 4.6k
D.J.J. Walvoort Netherlands 18 1.8k 1.1× 585 0.6× 621 1.0× 1.0k 1.6× 208 0.5× 47 2.8k
Philippe Lagacherie France 37 2.8k 1.7× 1.5k 1.7× 1.2k 1.9× 1.2k 1.9× 535 1.3× 107 4.1k
Sabine Chabrillat Germany 29 2.0k 1.2× 568 0.6× 1.1k 1.8× 1.4k 2.2× 144 0.4× 113 3.0k

Countries citing papers authored by Karsten Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Karsten Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karsten Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Karsten Schmidt. A scholar is included among the top collaborators of Karsten Schmidt 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 Karsten Schmidt. Karsten Schmidt 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.
Batista, Pedro Velloso Gomes, Markus Möller, Karsten Schmidt, et al.. (2025). Soil-erosion events on arable land are nowcast by machine learning. CATENA. 256. 109080–109080. 1 indexed citations
2.
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
3.
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.
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
6.
Goebes, Philipp, Karsten Schmidt, Steffen Seitz, et al.. (2019). The strength of soil-plant interactions under forest is related to a Critical Soil Depth. Scientific Reports. 9(1). 8635–8635. 45 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.
Seitz, Steffen, Martin Nebel, Philipp Goebes, et al.. (2017). Bryophyte-dominated biological soil crusts mitigate soil erosion in an early successional Chinese subtropical forest. Biogeosciences. 14(24). 5775–5788. 51 indexed citations
11.
Goebes, Philipp, Karsten Schmidt, Steffen Seitz, Felix Stumpf, & Thomas Scholten. (2016). Rule-based analysis of throughfall kinetic energy to evaluate biotic and abiotic factor thresholds to mitigate erosive power:. Progress in Physical Geography Earth and Environment. 40(3). 431–449. 5 indexed citations
12.
Seitz, Steffen, et al.. (2016). Effects of soil fertility and topography on tree growth in subtropical forest ecosystems. EGU General Assembly Conference Abstracts. 1 indexed citations
13.
14.
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
15.
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
16.
Stock, J. D., et al.. (2010). Sediment budget for a polluted Hawaiian reef using hillslope monitoring and process mapping (Invited). AGUFM. 2010. 1 indexed citations
17.
Stock, J. D., et al.. (2009). Hillslope-channel coupling in a steep Hawaiian catchment accelerates erosion rates over 100-fold. AGU Fall Meeting Abstracts. 2009. 2 indexed citations
18.
Staley, Dennis M., et al.. (2008). Assessing the Influence of Multiple Rainfall Pulses on Soil Moisture Dynamics During Long Duration Frontal Storms. AGU Fall Meeting Abstracts. 2008. 2 indexed citations
19.
Stock, J. D., et al.. (2008). Conversion of Steep Hawaiian Hillslope Transport From Soil Creep to Overland Flow Accelerates Erosion Rates Over 100-fold. AGUFM. 2008. 1 indexed citations
20.
King, John S., Kurt S. Pregitzer, Donald R. Zak, William E. Holmes, & Karsten Schmidt. (2005). Fine root chemistry and decomposition in model communities of north-temperate tree species show little response to elevated atmospheric CO2 and varying soil resource availability. Oecologia. 146(2). 318–328. 48 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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