Frederik Schaffalitzky
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Computational Mechanics
- Media Technology
- Computer Graphics and Computer-Aided Design top 10%
- Topics
- Advanced Vision and Imaging (6 papers)Optical measurement and interference techniques (4 papers)Robotics and Sensor-Based Localization (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational MathematicsComputer Graphics and Computer-Aided Design
- Journals
- International Journal of Computer VisionImage and Vision ComputingANU Open Research (Australian National University)
- Partner nations
- United KingdomAustraliaSweden
In The Last Decade
Frederik Schaffalitzky
7 papers receiving 288 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 270
- Aerospace Engineering 143
- Computational Mechanics 41
- Media Technology 23
- Computer Graphics and Computer-Aided Design 23
Countries citing papers authored by Frederik Schaffalitzky
This map shows the geographic impact of Frederik Schaffalitzky'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 Frederik Schaffalitzky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederik Schaffalitzky more than expected).
Fields of papers citing papers by Frederik Schaffalitzky
This network shows the impact of papers produced by Frederik Schaffalitzky. 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 Frederik Schaffalitzky. The network helps show where Frederik Schaffalitzky may publish in the future.
Co-authorship network of co-authors of Frederik Schaffalitzky
This figure shows the co-authorship network connecting the top 25 collaborators of Frederik Schaffalitzky. A scholar is included among the top collaborators of Frederik Schaffalitzky 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 Frederik Schaffalitzky. Frederik Schaffalitzky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 30 | |
| 3 | 52 | |
| 4 | 21 | |
| 5 | L ∞ minimization in geometric reconstruction problems | 96 |
| 6 | 16 | |
| 7 | PowerFactorization : 3D reconstruction with missing or uncertain data | 70 |
About Frederik Schaffalitzky
Frederik Schaffalitzky is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology, having authored 7 papers that have together received 301 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Optical measurement and interference techniques (4 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (270 citations), Computational Mathematics (5 citations) and Computer Graphics and Computer-Aided Design (23 citations). Frederik Schaffalitzky has collaborated with scholars based in United Kingdom, Australia and Sweden. Frequent co-authors include Richard Hartley, Josef Šivic, Andrew Zisserman, D. Nistér, Henrik Stewénius and Fredrik Kahl. Their work appears in journals such as International Journal of Computer Vision, Image and Vision Computing and ANU Open Research (Australian National University).
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.