Jürgen Waser
- Computer Vision and Pattern Recognition top 5%
- Global and Planetary Change top 10%
- Atmospheric Science
- Water Science and Technology top 10%
- Computational Mechanics
- Co-authors
- Zsolt HorváthGünter BlöschlArtem KonevDaniel CornelM. Eduard GröllerRalph F. FuchsRaphael FuchsRui A. P. Perdigão
- Topics
- Flood Risk Assessment and Management (13 papers)Data Visualization and Analytics (10 papers)Hydrology and Watershed Management Studies (8 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionGlobal and Planetary Change
- Journals
- SHILAP Revista de lepidopterologíaWater Resources ResearchAdvances in Water Resources
- Partner nations
- AustriaSwitzerlandGermany
In The Last Decade
Jürgen Waser
29 papers receiving 388 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 156
- Global and Planetary Change 153
- Atmospheric Science 94
- Water Science and Technology 93
- Computational Mechanics 59
Countries citing papers authored by Jürgen Waser
This map shows the geographic impact of Jürgen Waser'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 Jürgen Waser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürgen Waser more than expected).
Fields of papers citing papers by Jürgen Waser
This network shows the impact of papers produced by Jürgen Waser. 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 Jürgen Waser. The network helps show where Jürgen Waser may publish in the future.
Co-authorship network of co-authors of Jürgen Waser
This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Waser. A scholar is included among the top collaborators of Jürgen Waser 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 Jürgen Waser. Jürgen Waser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 52 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 39 | |
| 10 | 17 | |
| 11 | 16 | |
| 12 | 8 | |
| 13 | 27 | |
| 14 | 11 | |
| 15 | 10 | |
| 16 | 8 | |
| 17 | 33 | |
| 18 | 16 | |
| 19 | 36 | |
| 20 | 13 |
About Jürgen Waser
Jürgen Waser is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Global and Planetary Change, having authored 30 papers that have together received 400 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (13 papers), Data Visualization and Analytics (10 papers) and Hydrology and Watershed Management Studies (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (38 citations), Computer Vision and Pattern Recognition (156 citations) and Global and Planetary Change (153 citations). Jürgen Waser has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Zsolt Horváth, Günter Blöschl, Artem Konev, Daniel Cornel, M. Eduard Gröller, Ralph F. Fuchs, Raphael Fuchs, Rui A. P. Perdigão, Sebastian Noelle and Ronald Peikert. Their work appears in journals such as SHILAP Revista de lepidopterología, Water Resources Research and Advances in Water Resources.
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.