Pascal Welke
Impact in
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
- Ecology top 5%
- Remote Sensing in Agriculture
Papers in
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- Advanced Graph Neural Networks 7
- Algorithms and Data Compression 3
- Explainable Artificial Intelligence (XAI) 3
- Evolutionary Algorithms and Applications 2
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- Graph Theory and Algorithms 6
- Co-authors
- Anne‐Katrin Mahlein (1 shared paper)H. W. Dehne (1 shared paper)Erich-Christian Oerke (1 shared paper)Lutz Plümer (1 shared paper)Till Rumpf (1 shared paper)Ulrike Steiner (1 shared paper)Alexander Markowetz (2 shared papers)Ionut Andone (1 shared paper)
- Journals
- Machine Learning (4 papers)Remote Sensing of Environment (1 paper)Lecture notes in computer science (7 papers)Software Impacts (1 paper)Machine Learning with Applications (1 paper)
In The Last Decade
Pascal Welke
23 papers receiving 613 citations
Pascal Welke's Hit Papers
Peers
Comparison fields: 5 of 82
- Analytical Chemistry 232
- Ecology 310
- Plant Science 353
- Environmental Engineering 60
- Transportation 27
Countries citing papers authored by Pascal Welke
This map shows the geographic impact of Pascal Welke'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 Pascal Welke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Welke more than expected).
Fields of papers citing papers by Pascal Welke
This network shows the impact of papers produced by Pascal Welke. 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 Pascal Welke. The network helps show where Pascal Welke may publish in the future.
Co-authors
The 21 scholars most cited alongside Pascal Welke, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Development of spectral indices for detecting and identifying plant diseases Hit paper breakdown → | 2012 | 501 |
| 2 | 2016 | 48 | |
| 3 | 2023 | 16 | |
| 4 | 2022 | 15 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 8 | |
| 7 | 2016 | 5 | |
| 8 | 2020 | 4 | |
| 9 | 2017 | 4 | |
| 10 | 2019 | 3 | |
| 11 | 2016 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2016 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Pascal Welke
Pascal Welke is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 25 papers that have together received 642 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (7 papers), Data Mining Algorithms and Applications (6 papers), Graph Theory and Algorithms (6 papers), Complex Network Analysis Techniques (4 papers), Algorithms and Data Compression (3 papers), Advanced Graph Theory Research (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Analytical Chemistry (232 citations), Ecology (310 citations), Plant Science (353 citations), Environmental Engineering (60 citations) and Transportation (27 citations). Pascal Welke has collaborated with scholars based in Germany, Austria and Australia. Frequent co-authors include Anne‐Katrin Mahlein, H. W. Dehne, Erich-Christian Oerke, Lutz Plümer, Till Rumpf, Ulrike Steiner, Alexander Markowetz, Ionut Andone, Konrad Błaszkiewicz and Stefan Wrobel. Their work appears in journals such as Machine Learning, Remote Sensing of Environment, Lecture notes in computer science, Software Impacts and Machine Learning with Applications.
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.