Anne‐Katrin Mahlein
- Plant Science top 0.2%
- Ecology top 0.5%
- Analytical Chemistry top 0.05%
- Cell Biology top 1%
- Environmental Engineering top 1%
- Co-authors
- Erich-Christian OerkeUlrike SteinerH. W. DehneJan BehmannLutz PlümerTill RumpfMatheus Thomas KuśkaStefan Paulus
- Topics
- Remote Sensing in Agriculture (52 papers)Spectroscopy and Chemometric Analyses (44 papers)Smart Agriculture and AI (35 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONERemote Sensing of Environment
- Partner nations
- GermanyChinaUnited Kingdom
In The Last Decade
Anne‐Katrin Mahlein
106 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Plant Science 5.1k
- Ecology 3.0k
- Analytical Chemistry 2.7k
- Cell Biology 875
- Environmental Engineering 662
Countries citing papers authored by Anne‐Katrin Mahlein
This map shows the geographic impact of Anne‐Katrin Mahlein'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 Anne‐Katrin Mahlein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne‐Katrin Mahlein more than expected).
Fields of papers citing papers by Anne‐Katrin Mahlein
This network shows the impact of papers produced by Anne‐Katrin Mahlein. 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 Anne‐Katrin Mahlein. The network helps show where Anne‐Katrin Mahlein may publish in the future.
Co-authorship network of co-authors of Anne‐Katrin Mahlein
This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Katrin Mahlein. A scholar is included among the top collaborators of Anne‐Katrin Mahlein 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 Anne‐Katrin Mahlein. Anne‐Katrin Mahlein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 20 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 14 | |
| 13 | 17 | |
| 14 | 3 | |
| 15 | 42 | |
| 16 | 20 | |
| 17 | Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations. | 5 |
| 18 | 49 | |
| 19 | 29 | |
| 20 | Plant Disease Detection by Imaging Sensors – Parallels and Specific Demands for Precision Agriculture and Plant Phenotypingbreakdown → | 793 |
About Anne‐Katrin Mahlein
Anne‐Katrin Mahlein is a scholar working on Analytical Chemistry, Plant Science and Ecology, having authored 109 papers that have together received 6.9k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (52 papers), Spectroscopy and Chemometric Analyses (44 papers) and Smart Agriculture and AI (35 papers). The work is most often cited by research in Analytical Chemistry (2.7k citations), Plant Science (5.1k citations) and Ecology (3.0k citations). Anne‐Katrin Mahlein has collaborated with scholars based in Germany, China and United Kingdom. Frequent co-authors include Erich-Christian Oerke, Ulrike Steiner, H. W. Dehne, Jan Behmann, Lutz Plümer, Till Rumpf, Matheus Thomas Kuśka, Stefan Paulus, Mirwaes Wahabzada and David Bohnenkamp. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.
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.