Jan Behmann
Impact in
- Analytical Chemistry top 0.2%
- Spectroscopy and Chemometric Analyses
- Ecology top 1%
- Remote Sensing in Agriculture
Papers in
-
- Smart Agriculture and AI 10
- Leaf Properties and Growth Measurement 10
- Powdery Mildew Fungal Diseases 3
- Mycotoxins in Agriculture and Food 3
-
- Spectroscopy and Chemometric Analyses 24
- Co-authors
- Anne‐Katrin Mahlein (24 shared papers)Lutz Plümer (14 shared papers)Matheus Thomas Kuśka (11 shared papers)David Bohnenkamp (7 shared papers)Stefan Paulus (6 shared papers)Elias Alisaac (5 shared papers)Heiner Kuhlmann (6 shared papers)Stefan Thomas (6 shared papers)
- Journals
- Sensors (4 papers)Remote Sensing (3 papers)ISPRS Journal of Photogrammetry and Remote Sensing (2 papers)Current Opinion in Plant Biology (1 paper)GeoInformatica (1 paper)
- Partner nations
- GermanyChinaUnited Kingdom
In The Last Decade
Jan Behmann
34 papers receiving 2.3k citations
Jan Behmann's Hit Papers
Peers
Comparison fields: 5 of 114
- Analytical Chemistry 1.0k
- Ecology 1.2k
- Plant Science 1.7k
- Media Technology 154
- Environmental Engineering 222
Countries citing papers authored by Jan Behmann
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
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.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 259 | |
| 2 | Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art Hit paper breakdown → | 2018 | 245 |
| 3 | 2014 | 238 | |
| 4 | 2014 | 238 | |
| 5 | 2014 | 212 | |
| 6 | 2018 | 171 | |
| 7 | 2012 | 119 | |
| 8 | 2019 | 108 | |
| 9 | 2015 | 93 | |
| 10 | 2019 | 78 | |
| 11 | 2018 | 75 | |
| 12 | 2019 | 73 | |
| 13 | 2018 | 62 | |
| 14 | 2015 | 58 | |
| 15 | 2019 | 48 | |
| 16 | 2019 | 37 | |
| 17 | 2019 | 34 | |
| 18 | 2017 | 32 | |
| 19 | 2019 | 31 | |
| 20 | 2018 | 22 |
About Jan Behmann
Jan Behmann is a scholar working on Plant Science, Analytical Chemistry, Ecology, Environmental Engineering and Food Science, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (24 papers), Remote Sensing in Agriculture (22 papers), Smart Agriculture and AI (10 papers), Leaf Properties and Growth Measurement (10 papers), Powdery Mildew Fungal Diseases (3 papers), Mycotoxins in Agriculture and Food (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Essential Oils and Antimicrobial Activity (3 papers). The work is most often cited by research in Analytical Chemistry (1.0k citations), Ecology (1.2k citations), Plant Science (1.7k citations), Media Technology (154 citations) and Environmental Engineering (222 citations). Jan Behmann has collaborated with scholars based in Germany, China and United Kingdom. Frequent 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. Their work appears in journals such as Sensors, Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, Current Opinion in Plant Biology and GeoInformatica.
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.