Pascal Welke
Impact in
- Ecology top 5%
- Remote Sensing in Agriculture
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Explainable Artificial Intelligence (XAI) 5
- Advanced Graph Neural Networks 4
- Natural Language Processing Techniques 3
-
- Graph Theory and Algorithms 9
- Advanced Neural Network Applications 2
- Co-authors
- Till Rumpf (1 shared paper)Ulrike Steiner (1 shared paper)H. W. Dehne (1 shared paper)Lutz Plümer (1 shared paper)Erich-Christian Oerke (1 shared paper)Anne‐Katrin Mahlein (1 shared paper)Alexander Markowetz (2 shared papers)Stefan Wrobel (10 shared papers)
- Journals
- Machine Learning (4 papers)Remote Sensing of Environment (1 paper)Lecture notes in computer science (7 papers)Frontiers in Education (1 paper)Communications in computer and information science (2 papers)
- Partner nations
- GermanyAustriaUnited Kingdom
In The Last Decade
Pascal Welke
31 papers receiving 736 citations
Pascal Welke's Hit Papers
Peers
Comparison fields: 5 of 87
- Ecology 351
- Analytical Chemistry 143
- Plant Science 306
- Media Technology 37
- Artificial Intelligence 114
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 23 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 31 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 | 516 |
| 2 | 2016 | 49 | |
| 3 | 2023 | 25 | |
| 4 | 2021 | 23 | |
| 5 | 2023 | 22 | |
| 6 | 2021 | 20 | |
| 7 | 2022 | 17 | |
| 8 | 2023 | 15 | |
| 9 | 2021 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2016 | 5 | |
| 12 | 2017 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2016 | 3 | |
| 15 | 2016 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2022 | 3 |
About Pascal Welke
Pascal Welke is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computational Theory and Mathematics and Computer Networks and Communications, having authored 31 papers that have together received 760 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (9 papers), Data Mining Algorithms and Applications (8 papers), Explainable Artificial Intelligence (XAI) (5 papers), Advanced Graph Neural Networks (4 papers), Natural Language Processing Techniques (3 papers), IoT and Edge/Fog Computing (2 papers), Machine Learning in Materials Science (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Ecology (351 citations), Analytical Chemistry (143 citations), Plant Science (306 citations), Media Technology (37 citations) and Artificial Intelligence (114 citations). Pascal Welke has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Till Rumpf, Ulrike Steiner, H. W. Dehne, Lutz Plümer, Erich-Christian Oerke, Anne‐Katrin Mahlein, Alexander Markowetz, Stefan Wrobel, Ionut Andone and Konrad Błaszkiewicz. Their work appears in journals such as Machine Learning, Remote Sensing of Environment, Lecture notes in computer science, Frontiers in Education and Communications in computer and information science.
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.