Bernhard Zeisl
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Geology top 2%
- Environmental Engineering top 10%
- Computational Mechanics
- Co-authors
- Marc PollefeysTorsten SattlerFederico TombariRadu Bogdan RusuSuat GedikliAitor AldomàWalter WohlkingerChristian Potthast
- Topics
- Robotics and Sensor-Based Localization (11 papers)Advanced Vision and Imaging (7 papers)Advanced Image and Video Retrieval Techniques (5 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Robotics & Automation Magazine2021 IEEE/CVF International Conference on Computer Vision (ICCV)
- Partner nations
- SwitzerlandGermanyAustria
In The Last Decade
Bernhard Zeisl
14 papers receiving 638 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 449
- Aerospace Engineering 405
- Geology 184
- Environmental Engineering 102
- Computational Mechanics 54
Countries citing papers authored by Bernhard Zeisl
This map shows the geographic impact of Bernhard Zeisl'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 Bernhard Zeisl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Zeisl more than expected).
Fields of papers citing papers by Bernhard Zeisl
This network shows the impact of papers produced by Bernhard Zeisl. 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 Bernhard Zeisl. The network helps show where Bernhard Zeisl may publish in the future.
Co-authorship network of co-authors of Bernhard Zeisl
This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Zeisl. A scholar is included among the top collaborators of Bernhard Zeisl 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 Bernhard Zeisl. Bernhard Zeisl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 67 | |
| 5 | 3 | |
| 6 | 105 | |
| 7 | 4 | |
| 8 | 36 | |
| 9 | 264 | |
| 10 | 21 | |
| 11 | 7 | |
| 12 | 73 | |
| 13 | Maximum Detector Response Markers for SIFT and SURF | 17 |
| 14 | 44 |
About Bernhard Zeisl
Bernhard Zeisl is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 657 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (11 papers), Advanced Vision and Imaging (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Geology (184 citations), Computer Vision and Pattern Recognition (449 citations) and Aerospace Engineering (405 citations). Bernhard Zeisl has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Marc Pollefeys, Torsten Sattler, Federico Tombari, Radu Bogdan Rusu, Suat Gedikli, Aitor Aldomà, Walter Wohlkinger, Christian Potthast, Zoltán-Csaba Márton and Markus Vincze. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Robotics & Automation Magazine and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.