Jan Behmann

3.1k total citations · 1 hit paper
34 papers, 2.4k citations indexed

About

Jan Behmann is a scholar working on Plant Science, Analytical Chemistry and Ecology. According to data from OpenAlex, Jan Behmann has authored 34 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 24 papers in Analytical Chemistry and 22 papers in Ecology. Recurrent topics in Jan Behmann's work include Spectroscopy and Chemometric Analyses (24 papers), Remote Sensing in Agriculture (22 papers) and Smart Agriculture and AI (10 papers). Jan Behmann is often cited by papers focused on Spectroscopy and Chemometric Analyses (24 papers), Remote Sensing in Agriculture (22 papers) and Smart Agriculture and AI (10 papers). Jan Behmann collaborates with scholars based in Germany, China and United Kingdom. Jan Behmann's co-authors include Anne‐Katrin Mahlein, Lutz Plümer, Matheus Thomas Kuśka, David Bohnenkamp, Stefan Paulus, Elias Alisaac, Heiner Kuhlmann, Stefan Thomas, Mirwaes Wahabzada and Christoph Römer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Jan Behmann

34 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art

2018 245 citations Anne‐Katrin Mahlein, Matheus Thomas Kuśka et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Behmann Germany	21	1.7k	1.2k	1.0k	227	222	34	2.4k
Arti Singh United States	26	2.8k 1.7×	995 0.8×	690 0.7×	168 0.7×	228 1.0×	72	3.5k
Till Rumpf Germany	6	1.2k 0.7×	717 0.6×	748 0.7×	131 0.6×	108 0.5×	7	1.5k
H. W. Dehne Germany	24	3.2k 1.9×	1.2k 1.0×	1.2k 1.2×	778 3.4×	161 0.7×	122	4.3k
G. Polder Netherlands	23	1.5k 0.9×	595 0.5×	952 0.9×	107 0.5×	135 0.6×	75	2.3k
Huiqin Ma China	22	979 0.6×	714 0.6×	585 0.6×	133 0.6×	173 0.8×	44	1.5k
Ce Yang United States	19	987 0.6×	573 0.5×	579 0.6×	87 0.4×	177 0.8×	40	1.4k
Ittai Herrmann Israel	20	907 0.5×	948 0.8×	452 0.5×	74 0.3×	285 1.3×	48	1.5k
Linsheng Huang China	31	1.1k 0.6×	810 0.7×	990 1.0×	96 0.4×	238 1.1×	137	2.8k
C. Bravo Belgium	11	992 0.6×	632 0.5×	788 0.8×	141 0.6×	84 0.4×	14	1.4k
Wanneng Yang China	28	2.9k 1.7×	932 0.8×	497 0.5×	68 0.3×	305 1.4×	90	3.5k

Countries citing papers authored by Jan Behmann

Since Specialization

Citations

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

Fields of papers citing papers by Jan Behmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Behmann

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

All Works

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20 of 20 papers shown

Owen, James S., Joe Mari Maja, Jan Behmann, et al.. (2025). Using Hyperspectral Imaging and Principal Component Analysis to Detect and Monitor Water Stress in Ornamental Plants. Remote Sensing. 17(2). 285–285. 3 indexed citations

Behmann, Jan, et al.. (2020). New trends of digital technologies - opportunities for sugar beet cultivation.. 22–26. 1 indexed citations

Behley, Jens, et al.. (2019). Hyperspectral Plant Disease Forecasting Using Generative Adversarial Networks. 1793–1796. 34 indexed citations

Mahlein, Anne‐Katrin, Matheus Thomas Kuśka, Stefan Thomas, et al.. (2019). Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!. Current Opinion in Plant Biology. 50. 156–162. 78 indexed citations

Kuśka, Matheus Thomas, et al.. (2019). Discovering coherency of specific gene expression and optical reflectance properties of barley genotypes differing for resistance reactions against powdery mildew. PLoS ONE. 14(3). e0213291–e0213291. 10 indexed citations

Brugger, Anna, Jan Behmann, Stefan Paulus, et al.. (2019). Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range. Remote Sensing. 11(12). 1401–1401. 31 indexed citations

Bohnenkamp, David, Matheus Thomas Kuśka, Anne‐Katrin Mahlein, & Jan Behmann. (2019). Hyperspectral signal decomposition and symptom detection of wheat rust disease at the leaf scale using pure fungal spore spectra as reference. Plant Pathology. 68(6). 1188–1195. 37 indexed citations

Bohnenkamp, David, Jan Behmann, & Anne‐Katrin Mahlein. (2019). In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV Scale. Remote Sensing. 11(21). 2495–2495. 73 indexed citations

Mahlein, Anne‐Katrin, et al.. (2019). Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring Fusarium Head Blight of Wheat on Spikelet Scale. Sensors. 19(10). 2281–2281. 108 indexed citations

10.

Alisaac, Elias, et al.. (2019). Assessment of Fusarium Infection and Mycotoxin Contamination of Wheat Kernels and Flour Using Hyperspectral Imaging. Toxins. 11(10). 556–556. 48 indexed citations

11.

Thomas, Stefan, Jan Behmann, Thorsten Kraska, et al.. (2018). Quantitative assessment of disease severity and rating of barley cultivars based on hyperspectral imaging in a non-invasive, automated phenotyping platform. Plant Methods. 14(1). 45–45. 75 indexed citations

12.

Kuśka, Matheus Thomas, Jan Behmann, Dominik K. Großkinsky, Thomas Roitsch, & Anne‐Katrin Mahlein. (2018). Screening of Barley Resistance Against Powdery Mildew by Simultaneous High-Throughput Enzyme Activity Signature Profiling and Multispectral Imaging. Frontiers in Plant Science. 9. 1074–1074. 20 indexed citations

13.

Behmann, Jan, David Bohnenkamp, Stefan Paulus, & Anne‐Katrin Mahlein. (2018). Spatial Referencing of Hyperspectral Images for Tracing of Plant Disease Symptoms. Journal of Imaging. 4(12). 143–143. 18 indexed citations

14.

Alisaac, Elias, Jan Behmann, Matheus Thomas Kuśka, H.‐W. Dehne, & Anne‐Katrin Mahlein. (2018). Hyperspectral quantification of wheat resistance to Fusarium head blight: comparison of two Fusarium species. European Journal of Plant Pathology. 152(4). 869–884. 62 indexed citations

15.

Behmann, Jan, Kelvin Acebron, Shizue Matsubara, et al.. (2018). Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection. Sensors. 18(2). 441–441. 171 indexed citations

16.

Thomas, Stefan, Matheus Thomas Kuśka, David Bohnenkamp, et al.. (2017). Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective. Journal of Plant Diseases and Protection. 125(1). 5–20. 259 indexed citations

17.

Behmann, Jan, et al.. (2016). Support Vector machine and duration-aware conditional random field for identification of spatio-temporal activity patterns by combined indoor positioning and heart rate sensors. GeoInformatica. 20(4). 693–714. 11 indexed citations

18.

Behmann, Jan, et al.. (2014). Ordinal classification for efficient plant stress prediction in hyperspectral data. SHILAP Revista de lepidopterología. XL-7. 29–36. 12 indexed citations

19.

Behmann, Jan, et al.. (2014). Detection of early plant stress responses in hyperspectral images. ISPRS Journal of Photogrammetry and Remote Sensing. 93. 98–111. 238 indexed citations

20.

Römer, Christoph, Mirwaes Wahabzada, Agim Ballvora, et al.. (2012). Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis. Functional Plant Biology. 39(11). 878–890. 119 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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