Christopher Hutengs

1.1k total citations · 1 hit paper
17 papers, 797 citations indexed

About

Christopher Hutengs is a scholar working on Environmental Engineering, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Christopher Hutengs has authored 17 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 8 papers in Artificial Intelligence and 7 papers in Analytical Chemistry. Recurrent topics in Christopher Hutengs's work include Soil Geostatistics and Mapping (10 papers), Geochemistry and Geologic Mapping (8 papers) and Spectroscopy and Chemometric Analyses (7 papers). Christopher Hutengs is often cited by papers focused on Soil Geostatistics and Mapping (10 papers), Geochemistry and Geologic Mapping (8 papers) and Spectroscopy and Chemometric Analyses (7 papers). Christopher Hutengs collaborates with scholars based in Germany, Hungary and Switzerland. Christopher Hutengs's co-authors include Michael Vohland, Bernard Ludwig, Michael Seidel, Sören Thiele‐Bruhn, András Jung, Andreas Eisele, Isabel Greenberg, Lutz Bannehr, Ronny Richter and Christian Wirth and has published in prestigious journals such as Remote Sensing of Environment, Soil Biology and Biochemistry and Sensors.

In The Last Decade

Christopher Hutengs

16 papers receiving 781 citations

Hit Papers

Downscaling land surface temperatures at regional scales ... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Hutengs Germany 11 559 245 201 177 150 17 797
Anton Thomsen Denmark 18 459 0.8× 82 0.3× 200 1.0× 162 0.9× 313 2.1× 29 935
Ruiying Zhao China 14 591 1.1× 98 0.4× 138 0.7× 259 1.5× 303 2.0× 30 977
Jerzy Cierniewski Poland 15 488 0.9× 98 0.4× 171 0.9× 151 0.9× 306 2.0× 45 677
Raúl Roberto Poppiel Brazil 18 585 1.0× 61 0.2× 83 0.4× 312 1.8× 220 1.5× 52 876
Bimal K. Bhattacharya India 17 493 0.9× 334 1.4× 536 2.7× 88 0.5× 352 2.3× 86 1.0k
Maximilian Brell Germany 16 469 0.8× 128 0.5× 209 1.0× 292 1.6× 443 3.0× 36 998
Jia Tian China 14 414 0.7× 166 0.7× 174 0.9× 49 0.3× 382 2.5× 49 719
Qinghu Jiang China 13 466 0.8× 39 0.2× 125 0.6× 287 1.6× 292 1.9× 23 783
Mamat Sawut China 12 527 0.9× 144 0.6× 422 2.1× 54 0.3× 219 1.5× 28 908
Ebrahim Babaeian United States 16 1.0k 1.8× 468 1.9× 300 1.5× 93 0.5× 266 1.8× 25 1.4k

Countries citing papers authored by Christopher Hutengs

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Hutengs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Hutengs

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

All Works

17 of 17 papers shown
2.
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
4.
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
6.
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
7.
Hutengs, Christopher, et al.. (2022). Which factors determine the invasion of plant species? Machine learning based habitat modelling integrating environmental factors and climate scenarios. International Journal of Applied Earth Observation and Geoinformation. 116. 103158–103158. 16 indexed citations
8.
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
9.
Hutengs, Christopher, et al.. (2022). A Machine Learning Framework for the Classification of Natura 2000 Habitat Types at Large Spatial Scales Using MODIS Surface Reflectance Data. Remote Sensing. 14(4). 823–823. 11 indexed citations
10.
Richter, Ronny, Christopher Hutengs, Christian Wirth, Lutz Bannehr, & Michael Vohland. (2021). Detecting Tree Species Effects on Forest Canopy Temperatures with Thermal Remote Sensing: The Role of Spatial Resolution. Remote Sensing. 13(1). 135–135. 20 indexed citations
11.
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
12.
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
13.
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
14.
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
16.
Hutengs, Christopher, Bernard Ludwig, András Jung, Andreas Eisele, & Michael Vohland. (2018). Comparison of Portable and Bench-Top Spectrometers for Mid-Infrared Diffuse Reflectance Measurements of Soils. Sensors. 18(4). 993–993. 55 indexed citations
17.
Hutengs, Christopher & Michael Vohland. (2016). Downscaling land surface temperatures at regional scales with random forest regression. Remote Sensing of Environment. 178. 127–141. 400 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026