David Bohnenkamp

1.0k total citations
8 papers, 760 citations indexed

About

David Bohnenkamp is a scholar working on Ecology, Plant Science and Analytical Chemistry. According to data from OpenAlex, David Bohnenkamp has authored 8 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 7 papers in Plant Science and 7 papers in Analytical Chemistry. Recurrent topics in David Bohnenkamp's work include Spectroscopy and Chemometric Analyses (7 papers), Remote Sensing in Agriculture (7 papers) and Leaf Properties and Growth Measurement (4 papers). David Bohnenkamp is often cited by papers focused on Spectroscopy and Chemometric Analyses (7 papers), Remote Sensing in Agriculture (7 papers) and Leaf Properties and Growth Measurement (4 papers). David Bohnenkamp collaborates with scholars based in Germany, United States and Brazil. David Bohnenkamp's co-authors include Anne‐Katrin Mahlein, Jan Behmann, Matheus Thomas Kuśka, Stefan Thomas, Mirwaes Wahabzada, Elias Alisaac, Jayme Garcia Arnal Barbedo, Emerson M. Del Ponte, Clive H. Bock and Anna Brugger and has published in prestigious journals such as Sensors, Remote Sensing and Plant Pathology.

In The Last Decade

David Bohnenkamp

8 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Bohnenkamp Germany 7 526 341 318 103 73 8 760
Elias Alisaac Germany 7 483 0.9× 301 0.9× 216 0.7× 133 1.3× 33 0.5× 8 619
Jaafar Abdulridha United States 14 799 1.5× 372 1.1× 517 1.6× 102 1.0× 51 0.7× 20 1.0k
Matheus Thomas Kuśka Germany 18 921 1.8× 626 1.8× 557 1.8× 183 1.8× 91 1.2× 22 1.3k
Alastair McCartney United Kingdom 12 745 1.4× 387 1.1× 422 1.3× 158 1.5× 33 0.5× 14 1.0k
Christian Hillnhütter Germany 8 380 0.7× 223 0.7× 238 0.7× 63 0.6× 41 0.6× 11 505
Elke Bauriegel Germany 6 396 0.8× 307 0.9× 199 0.6× 94 0.9× 26 0.4× 6 546
Anting Guo China 14 516 1.0× 272 0.8× 465 1.5× 67 0.7× 53 0.7× 31 767
Koushik Nagasubramanian United States 8 540 1.0× 225 0.7× 209 0.7× 37 0.4× 45 0.6× 10 674
Rocío Calderón Spain 10 773 1.5× 282 0.8× 765 2.4× 162 1.6× 56 0.8× 12 1.2k
Anna Brugger Germany 8 301 0.6× 208 0.6× 163 0.5× 45 0.4× 31 0.4× 9 411

Countries citing papers authored by David Bohnenkamp

Since Specialization
Citations

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

Fields of papers citing papers by David Bohnenkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Bohnenkamp

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

All Works

8 of 8 papers shown
1.
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
2.
Bock, Clive H., Jayme Garcia Arnal Barbedo, Emerson M. Del Ponte, David Bohnenkamp, & Anne‐Katrin Mahlein. (2020). From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy. Phytopathology Research. 2(1). 167 indexed citations
3.
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
4.
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
5.
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
6.
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
7.
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
8.
Mahlein, Anne‐Katrin, Matheus Thomas Kuśka, Stefan Thomas, et al.. (2017). Plant disease detection by hyperspectral imaging: from the lab to the field. Advances in Animal Biosciences. 8(2). 238–243. 32 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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