Georges Baatz
Impact in
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- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Multimodal Machine Learning Applications
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Advanced Image and Video Retrieval Techniques 6
- Video Surveillance and Tracking Methods 2
- Multimodal Machine Learning Applications 2
- Image Retrieval and Classification Techniques 2
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- Robotics and Sensor-Based Localization 5
- Co-authors
- Marc Pollefeys (6 shared papers)Kevin Köser (6 shared papers)Radek Grzeszczuk (3 shared papers)Olivier Saurer (3 shared papers)Jeff Bach (1 shared paper)Sam S. Tsai (1 shared paper)Bernd Girod (1 shared paper)David M. Chen (1 shared paper)
- Journals
- International Journal of Computer Vision (2 papers)Lecture notes in computer science (2 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Georges Baatz
6 papers receiving 613 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 576
- Aerospace Engineering 420
- Geology 55
- Media Technology 45
- Environmental Engineering 34
Countries citing papers authored by Georges Baatz
This map shows the geographic impact of Georges Baatz'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 Georges Baatz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georges Baatz more than expected).
Fields of papers citing papers by Georges Baatz
This network shows the impact of papers produced by Georges Baatz. 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 Georges Baatz. The network helps show where Georges Baatz may publish in the future.
Co-authors
The 15 scholars most cited alongside Georges Baatz, 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 | 2011 | 332 | |
| 2 | 2012 | 121 | |
| 3 | 2010 | 58 | |
| 4 | 2011 | 55 | |
| 5 | 2015 | 53 | |
| 6 | 2012 | 11 |
About Georges Baatz
Georges Baatz is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 6 papers that have together received 630 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (5 papers), Video Surveillance and Tracking Methods (2 papers), Multimodal Machine Learning Applications (2 papers), Image Retrieval and Classification Techniques (2 papers) and Indoor and Outdoor Localization Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (576 citations), Aerospace Engineering (420 citations), Geology (55 citations), Media Technology (45 citations) and Environmental Engineering (34 citations). Georges Baatz has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Marc Pollefeys, Kevin Köser, Radek Grzeszczuk, Olivier Saurer, Jeff Bach, Sam S. Tsai, Bernd Girod, David M. Chen, Timo Pylvänäinen and Kimmo Roimela. Their work appears in journals such as International Journal of Computer Vision and Lecture notes in computer 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.