Philipp Lottes
Impact in
- Plant Science top 2%
- Smart Agriculture and AI
- Date Palm Research Studies
- Plant Disease Management Techniques
- Plant Virus Research Studies
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Smart Agriculture and AI 19
- Plant Virus Research Studies 2
- Plant Disease Management Techniques 2
- Ecology 8
- Remote Sensing in Agriculture 8
- Co-authors
- Cyrill Stachniss (19 shared papers)Andres Milioto (4 shared papers)Raghav Khanna (3 shared papers)Roland Siegwart (3 shared papers)Jens Behley (5 shared papers)Nived Chebrolu (3 shared papers)Johannes Pfeifer (1 shared paper)Wera Winterhalter (1 shared paper)
- Journals
- Journal of Field Robotics (3 papers)IEEE Robotics and Automation Letters (3 papers)Computers and Electronics in Agriculture (2 papers)Remote Sensing (1 paper)Drones (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Philipp Lottes
19 papers receiving 1.6k citations
Philipp Lottes's Hit Papers
Peers
Comparison fields: 5 of 77
- Plant Science 1.3k
- Analytical Chemistry 228
- Ecology 569
- Environmental Engineering 251
- Ecological Modeling 45
Countries citing papers authored by Philipp Lottes
This map shows the geographic impact of Philipp Lottes'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 Philipp Lottes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Lottes more than expected).
Fields of papers citing papers by Philipp Lottes
This network shows the impact of papers produced by Philipp Lottes. 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 Philipp Lottes. The network helps show where Philipp Lottes may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Lottes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | UAV-based crop and weed classification for smart farming Hit paper breakdown → | 2017 | 285 |
| 2 | 2017 | 238 | |
| 3 | 2018 | 202 | |
| 4 | 2018 | 202 | |
| 5 | 2017 | 114 | |
| 6 | 2020 | 109 | |
| 7 | 2016 | 90 | |
| 8 | 2019 | 70 | |
| 9 | 2016 | 68 | |
| 10 | 2021 | 44 | |
| 11 | 2021 | 44 | |
| 12 | 2017 | 38 | |
| 13 | 2019 | 38 | |
| 14 | 2020 | 29 | |
| 15 | 2022 | 21 | |
| 16 | 2023 | 18 | |
| 17 | 2020 | 18 | |
| 18 | Flourish - A robotic approach for automation in crop management | 2018 | 11 |
| 19 | 2023 | 5 |
About Philipp Lottes
Philipp Lottes is a scholar working on Plant Science, Ecology, Environmental Engineering, Computer Vision and Pattern Recognition and Molecular Biology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Smart Agriculture and AI (19 papers), Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (6 papers), Robotics and Sensor-Based Localization (2 papers), Plant Virus Research Studies (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Biosensors and Analytical Detection (2 papers) and Plant Disease Management Techniques (2 papers). The work is most often cited by research in Plant Science (1.3k citations), Analytical Chemistry (228 citations), Ecology (569 citations), Environmental Engineering (251 citations) and Ecological Modeling (45 citations). Philipp Lottes has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Cyrill Stachniss, Andres Milioto, Raghav Khanna, Roland Siegwart, Jens Behley, Nived Chebrolu, Johannes Pfeifer, Wera Winterhalter, Wolfram Burgard and Alexander Schaefer. Their work appears in journals such as Journal of Field Robotics, IEEE Robotics and Automation Letters, Computers and Electronics in Agriculture, Remote Sensing and Drones.
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.