Frank Perbet
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Computational Mechanics top 10%
- Aerospace Engineering
- Control and Systems Engineering
- Co-authors
- Björn StengerAtsuto MakiMinh-Tri PhamOliver J. WoodfordMasashi NishiyamaMasahiro SekineRoberto CipollaFrançois Fauré
- Topics
- Image Processing and 3D Reconstruction (3 papers)Advanced Vision and Imaging (3 papers)Optical measurement and interference techniques (3 papers)
- Journals
- International Journal of Computer VisionPattern Recognition LettersMachine Vision and Applications
- Partner nations
- JapanUnited KingdomFrance
In The Last Decade
Frank Perbet
14 papers receiving 219 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 158
- Computer Graphics and Computer-Aided Design 73
- Computational Mechanics 67
- Aerospace Engineering 46
- Control and Systems Engineering 29
Countries citing papers authored by Frank Perbet
This map shows the geographic impact of Frank Perbet'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 Frank Perbet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Perbet more than expected).
Fields of papers citing papers by Frank Perbet
This network shows the impact of papers produced by Frank Perbet. 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 Frank Perbet. The network helps show where Frank Perbet may publish in the future.
Co-authorship network of co-authors of Frank Perbet
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Perbet. A scholar is included among the top collaborators of Frank Perbet 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 Frank Perbet. Frank Perbet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 47 | |
| 3 | 11 | |
| 4 | 37 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | Homogeneous Superpixels from Random Walks | 8 |
| 8 | 1 | |
| 9 | 25 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 16 | |
| 13 | 18 | |
| 14 | 48 |
About Frank Perbet
Frank Perbet is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 14 papers that have together received 229 indexed citations. Recurring topics across this work include Image Processing and 3D Reconstruction (3 papers), Advanced Vision and Imaging (3 papers) and Optical measurement and interference techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (73 citations), Computer Vision and Pattern Recognition (158 citations) and Geology (18 citations). Frank Perbet has collaborated with scholars based in Japan, United Kingdom and France. Frequent co-authors include Björn Stenger, Atsuto Maki, Minh-Tri Pham, Oliver J. Woodford, Masashi Nishiyama, Masahiro Sekine, Roberto Cipolla, François Fauré, P. Sam Johnson and Carlos Hernández. Their work appears in journals such as International Journal of Computer Vision, Pattern Recognition Letters and Machine Vision and Applications.
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.