Jan Behmann

34 papers receiving 2.6k citations

Jan Behmann's Hit Papers

Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art 2018 · 288 citations
2880+3+6Years since publication50100150200250

Peers

Jan Behmann
Comparison fields: 5 of 101
  • Analytical Chemistry 733
  • Ecology 1.1k
  • Plant Science 1.7k
  • Media Technology 190
  • Geology 69
Replace Javier Tardáguila with:
Javier Tardáguila Spain
Xiaodong Yang China
Gerrit Polder Netherlands
Ce Yang United States
Ittai Herrmann Israel
Stefan Paulus Germany
Wanneng Yang China
Mirwaes Wahabzada Germany
Linsheng Huang China
Rocío Calderón Spain
Jan Behmann relative to Javier Tardáguila Spain Javier Tardáguila's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Jan Behmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Behmann Line = papers co-authored together Jan Behmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective
Hit paper breakdown →
2017291
2 2014288
3
Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art
Hit paper breakdown →
2018288
4 2014263
5 2014226
6 2018189
7 2012133
8 2019125
9 201595
10 201994
11 201979
12 201878
13 201865
14 201562
15 201951
16 201941
17 201939
18 201733
19 201933
20 201630

About Jan Behmann

Jan Behmann is a scholar working on Analytical Chemistry, Ecology, Plant Science, Geology and Media Technology, having authored 34 papers that have together received 2.7k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (23 papers), Smart Agriculture and AI (21 papers), Spectroscopy and Chemometric Analyses (18 papers), 3D Surveying and Cultural Heritage (4 papers), Remote-Sensing Image Classification (3 papers), Powdery Mildew Fungal Diseases (2 papers), Greenhouse Technology and Climate Control (2 papers) and Soil Geostatistics and Mapping (1 paper). The work is most often cited by research in Analytical Chemistry (733 citations), Ecology (1.1k citations), Plant Science (1.7k citations), Media Technology (190 citations) and Geology (69 citations). Jan Behmann has collaborated with scholars based in Germany, China and Switzerland. Frequent co-authors include Anne‐Katrin Mahlein, Lutz Plümer, Matheus Thomas Kuśka, David Bohnenkamp, Stefan Paulus, Elias Alisaac, Stefan Thomas, Heiner Kuhlmann, Christoph Römer and Mirwaes Wahabzada. Their work appears in journals such as Sensors, Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, Functional Plant Biology and Annual Review of Phytopathology.

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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