Michael Seidel

534 total citations
16 papers, 364 citations indexed

About

Michael Seidel is a scholar working on Environmental Engineering, Artificial Intelligence and Soil Science. According to data from OpenAlex, Michael Seidel has authored 16 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 7 papers in Artificial Intelligence and 7 papers in Soil Science. Recurrent topics in Michael Seidel's work include Soil Geostatistics and Mapping (12 papers), Soil Carbon and Nitrogen Dynamics (7 papers) and Geochemistry and Geologic Mapping (7 papers). Michael Seidel is often cited by papers focused on Soil Geostatistics and Mapping (12 papers), Soil Carbon and Nitrogen Dynamics (7 papers) and Geochemistry and Geologic Mapping (7 papers). Michael Seidel collaborates with scholars based in Germany, Hungary and Switzerland. Michael Seidel's co-authors include Michael Vohland, Bernard Ludwig, Christopher Hutengs, Sören Thiele‐Bruhn, Isabel Greenberg, Heinz‐Josef Koch, Alfred Lochner, Martin Schädler, Nico Eisenhauer and András Jung and has published in prestigious journals such as Soil Biology and Biochemistry, Sensors and Geoderma.

In The Last Decade

Michael Seidel

15 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Seidel Germany 10 296 178 117 104 63 16 364
Suzana Romeiro Araújo Brazil 10 247 0.8× 210 1.2× 127 1.1× 65 0.6× 54 0.9× 23 363
Zefang Shen Australia 10 194 0.7× 118 0.7× 99 0.8× 61 0.6× 40 0.6× 16 332
Jason P. Ackerson United States 8 260 0.9× 120 0.7× 88 0.8× 74 0.7× 45 0.7× 16 321
Zeynal Tümsavaş Türkiye 7 202 0.7× 106 0.6× 87 0.7× 102 1.0× 42 0.7× 23 352
Tiago Rodrigues Tavares Brazil 12 250 0.8× 165 0.9× 144 1.2× 81 0.8× 46 0.7× 33 441
Sathi Paul United States 6 217 0.7× 229 1.3× 127 1.1× 49 0.5× 42 0.7× 7 354
Bruna Cristina Gallo Brazil 9 295 1.0× 183 1.0× 58 0.5× 107 1.0× 52 0.8× 12 370
Henrique Bellinaso Brazil 11 268 0.9× 177 1.0× 52 0.4× 84 0.8× 55 0.9× 20 343
Theodora Angelopoulou Greece 6 318 1.1× 186 1.0× 68 0.6× 104 1.0× 36 0.6× 8 447
Alexia Gobrecht France 7 238 0.8× 137 0.8× 164 1.4× 50 0.5× 48 0.8× 14 418

Countries citing papers authored by Michael Seidel

Since Specialization
Citations

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

Fields of papers citing papers by Michael Seidel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Seidel

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

All Works

16 of 16 papers shown
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Hutengs, Christopher, Nico Eisenhauer, Martin Schädler, et al.. (2024). Enhanced VNIR and MIR proximal sensing of soil organic matter and PLFA-derived soil microbial properties through machine learning ensembles and external parameter orthogonalization. Geoderma. 450. 117037–117037. 4 indexed citations
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Greenberg, Isabel, Michael Vohland, Michael Seidel, et al.. (2023). Evaluation of Mid-Infrared and X-ray Fluorescence Data Fusion Approaches for Prediction of Soil Properties at the Field Scale. Sensors. 23(2). 662–662. 11 indexed citations
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Hutengs, Christopher, Michael Seidel, Mathias Ulrich, et al.. (2022). Accuracy and Reproducibility of Laboratory Diffuse Reflectance Measurements with Portable VNIR and MIR Spectrometers for Predictive Soil Organic Carbon Modeling. Sensors. 22(7). 2749–2749. 6 indexed citations
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Seidel, Michael, et al.. (2022). Content of soil organic carbon and labile fractions depend on local combinations of mineral-phase characteristics. SOIL. 8(1). 113–131. 12 indexed citations
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Seidel, Michael, Michael Vohland, Isabel Greenberg, et al.. (2022). Soil moisture effects on predictive VNIR and MIR modeling of soil organic carbon and clay content. Geoderma. 427. 116103–116103. 34 indexed citations
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Hutengs, Christopher, Nico Eisenhauer, Martin Schädler, et al.. (2021). VNIR and MIR spectroscopy of PLFA-derived soil microbial properties and associated soil physicochemical characteristics in an experimental plant diversity gradient. Soil Biology and Biochemistry. 160. 108319–108319. 16 indexed citations
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Vohland, Michael, Bernard Ludwig, Michael Seidel, & Christopher Hutengs. (2021). Quantification of soil organic carbon at regional scale: Benefits of fusing vis-NIR and MIR diffuse reflectance data are greater for in situ than for laboratory-based modelling approaches. Geoderma. 405. 115426–115426. 49 indexed citations
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Greenberg, Isabel, Michael Seidel, Michael Vohland, & Bernard Ludwig. (2021). Performance of field‐scale lab vs in situ visible/near‐ and mid‐infrared spectroscopy for estimation of soil properties. European Journal of Soil Science. 73(1). 27 indexed citations
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Greenberg, Isabel, Michael Seidel, Michael Vohland, Heinz‐Josef Koch, & Bernard Ludwig. (2021). Performance of in situ vs laboratory mid-infrared soil spectroscopy using local and regional calibration strategies. Geoderma. 409. 115614–115614. 29 indexed citations
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Seidel, Michael, et al.. (2020). Underwater Use of a Hyperspectral Camera to Estimate Optically Active Substances in the Water Column of Freshwater Lakes. Remote Sensing. 12(11). 1745–1745. 10 indexed citations
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Seidel, Michael, Christopher Hutengs, Bernard Ludwig, Sören Thiele‐Bruhn, & Michael Vohland. (2019). Strategies for the efficient estimation of soil organic carbon at the field scale with vis-NIR spectroscopy: Spectral libraries and spiking vs. local calibrations. Geoderma. 354. 113856–113856. 61 indexed citations
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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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