Olivier Saurer
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Geology top 5%
- Electrical and Electronic Engineering
- Computational Mechanics
- Co-authors
- Marc PollefeysKevin KöserLorenz MeierFederico CamposecoPetri TanskanenKalin D. KolevGim Hee LeeLubor Ladicky
- Topics
- Advanced Vision and Imaging (9 papers)Robotics and Sensor-Based Localization (8 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionPattern Recognition Letters
- Partner nations
- SwitzerlandSingaporeGermany
In The Last Decade
Olivier Saurer
11 papers receiving 357 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 292
- Aerospace Engineering 230
- Geology 77
- Electrical and Electronic Engineering 41
- Computational Mechanics 30
Countries citing papers authored by Olivier Saurer
This map shows the geographic impact of Olivier Saurer'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 Olivier Saurer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Saurer more than expected).
Fields of papers citing papers by Olivier Saurer
This network shows the impact of papers produced by Olivier Saurer. 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 Olivier Saurer. The network helps show where Olivier Saurer may publish in the future.
Co-authorship network of co-authors of Olivier Saurer
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Saurer. A scholar is included among the top collaborators of Olivier Saurer 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 Olivier Saurer. Olivier Saurer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 25 | |
| 3 | 25 | |
| 4 | 39 | |
| 5 | 19 | |
| 6 | 44 | |
| 7 | 140 | |
| 8 | 49 | |
| 9 | 10 | |
| 10 | Visual Localization Using Global Visual Features and Vanishing Points. | 9 |
| 11 | 1 |
About Olivier Saurer
Olivier Saurer is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 11 papers that have together received 365 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Robotics and Sensor-Based Localization (8 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (292 citations), Geology (77 citations) and Aerospace Engineering (230 citations). Olivier Saurer has collaborated with scholars based in Switzerland, Singapore and Germany. Frequent co-authors include Marc Pollefeys, Kevin Köser, Lorenz Meier, Federico Camposeco, Petri Tanskanen, Kalin D. Kolev, Gim Hee Lee, Lubor Ladicky, Jean-Yves Bouguet and Georges Baatz. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Pattern Recognition 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.