Olaf Kähler
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Geology top 2%
- Environmental Engineering top 10%
- Computational Mechanics
- Co-authors
- David W. MurrayVictor Adrian PrisacariuPhilip H. S. TorrCarl Yuheng RenXin SunIan ReidJoachim DenzlerMatthias NieBner
- Topics
- Robotics and Sensor-Based Localization (14 papers)Advanced Vision and Imaging (12 papers)Advanced Image and Video Retrieval Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer Vision
- Partner nations
- United KingdomAustraliaGermany
In The Last Decade
Olaf Kähler
17 papers receiving 590 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 480
- Aerospace Engineering 420
- Geology 196
- Environmental Engineering 77
- Computational Mechanics 47
Countries citing papers authored by Olaf Kähler
This map shows the geographic impact of Olaf Kähler'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 Olaf Kähler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olaf Kähler more than expected).
Fields of papers citing papers by Olaf Kähler
This network shows the impact of papers produced by Olaf Kähler. 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 Olaf Kähler. The network helps show where Olaf Kähler may publish in the future.
Co-authorship network of co-authors of Olaf Kähler
This figure shows the co-authorship network connecting the top 25 collaborators of Olaf Kähler. A scholar is included among the top collaborators of Olaf Kähler 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 Olaf Kähler. Olaf Kähler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 11 | |
| 3 | 12 | |
| 4 | 23 | |
| 5 | 38 | |
| 6 | 131 | |
| 7 | 44 | |
| 8 | 6 | |
| 9 | 200 | |
| 10 | 28 | |
| 11 | 28 | |
| 12 | 21 | |
| 13 | 5 | |
| 14 | Robust Real-Time SFM in a Combined Formulation of Tracking and Reconstruction. | 1 |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 10 |
About Olaf Kähler
Olaf Kähler is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 18 papers that have together received 604 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Advanced Vision and Imaging (12 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Geology (196 citations), Computer Vision and Pattern Recognition (480 citations) and Aerospace Engineering (420 citations). Olaf Kähler has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include David W. Murray, Victor Adrian Prisacariu, Philip H. S. Torr, Carl Yuheng Ren, Xin Sun, Ian Reid, Joachim Denzler, Matthias NieBner, Ondřej Mikšík and Shahram Izadi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.
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.