Marc Walessa
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Aerospace Engineering
- Environmental Engineering
- Artificial Intelligence
- Co-authors
- Mihai DatcuK. SeidelKlaus DietmayerDaniel MeißnerJohannes KoppHubert RehrauerGottfried SchwarzMichael Schröder
- Topics
- Image and Signal Denoising Methods (5 papers)Advanced Neural Network Applications (5 papers)Synthetic Aperture Radar (SAR) Applications and Techniques (5 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingComputers & GeosciencesIEEE Robotics and Automation Letters
- Partner nations
- GermanySwitzerlandItaly
In The Last Decade
Marc Walessa
18 papers receiving 279 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 208
- Media Technology 165
- Aerospace Engineering 77
- Environmental Engineering 49
- Artificial Intelligence 29
Countries citing papers authored by Marc Walessa
This map shows the geographic impact of Marc Walessa'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 Marc Walessa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Walessa more than expected).
Fields of papers citing papers by Marc Walessa
This network shows the impact of papers produced by Marc Walessa. 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 Marc Walessa. The network helps show where Marc Walessa may publish in the future.
Co-authorship network of co-authors of Marc Walessa
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Walessa. A scholar is included among the top collaborators of Marc Walessa 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 Marc Walessa. Marc Walessa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | Bayesian information extraction from SAR images | 3 |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 13 | |
| 16 | 138 | |
| 17 | 1 | |
| 18 | 87 | |
| 19 | 3 | |
| 20 | 8 |
About Marc Walessa
Marc Walessa is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Environmental Engineering, having authored 20 papers that have together received 303 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (5 papers), Advanced Neural Network Applications (5 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (5 papers). The work is most often cited by research in Media Technology (165 citations), Computer Vision and Pattern Recognition (208 citations) and Environmental Engineering (49 citations). Marc Walessa has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Mihai Datcu, K. Seidel, Klaus Dietmayer, Daniel Meißner, Johannes Kopp, Hubert Rehrauer, Gottfried Schwarz, Michael Schröder, Gintautas Palubinskas and Michael Schroeder. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Computers & Geosciences and IEEE Robotics and Automation Letters.
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.