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 4
- Neural Networks and Applications 2
- Machine Learning and Data Classification 2
- Explainable Artificial Intelligence (XAI) 2
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- Graph Theory and Algorithms 5
- Co-authors
- H. W. Dehne (1 shared paper)Ulrike Steiner (1 shared paper)Lutz Plümer (1 shared paper)Till Rumpf (1 shared paper)Anne‐Katrin Mahlein (1 shared paper)Erich-Christian Oerke (1 shared paper)Alexander Markowetz (2 shared papers)Ionut Andone (1 shared paper)
- Journals
- Machine Learning (3 papers)Remote Sensing of Environment (1 paper)Software Impacts (1 paper)SHILAP Revista de lepidopterología (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
In The Last Decade
Pascal Welke
14 papers receiving 515 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Analytical Chemistry 224
- Ecology 287
- Plant Science 324
- Media Technology 35
- Transportation 26
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 20 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
| # | Work | ||
|---|---|---|---|
| 1 | Development of spectral indices for detecting and identifying plant diseases Hit paper breakdown → | 2012 | 451 |
| 2 | 2016 | 45 | |
| 3 | 2022 | 10 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 6 | |
| 6 | 2020 | 4 | |
| 7 | 2017 | 3 | |
| 8 | 2020 | 3 | |
| 9 | 2019 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2016 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2021 | 0 |
About Pascal Welke
Pascal Welke is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Information Systems and Polymers and Plastics, having authored 16 papers that have together received 542 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (5 papers), Complex Network Analysis Techniques (4 papers), Advanced Graph Neural Networks (4 papers), Data Mining Algorithms and Applications (3 papers), Neural Networks and Applications (2 papers), Textile materials and evaluations (2 papers), Machine Learning and Data Classification (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Analytical Chemistry (224 citations), Ecology (287 citations), Plant Science (324 citations), Media Technology (35 citations) and Transportation (26 citations). Pascal Welke has collaborated with scholars based in Germany, Austria and Australia. Frequent co-authors include H. W. Dehne, Ulrike Steiner, Lutz Plümer, Till Rumpf, Anne‐Katrin Mahlein, Erich-Christian Oerke, Alexander Markowetz, Ionut Andone, Konrad Błaszkiewicz and Stefan Wrobel. Their work appears in journals such as Machine Learning, Remote Sensing of Environment, Software Impacts, SHILAP Revista de lepidopterología and Proceedings of the AAAI Conference on Artificial Intelligence.
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.