F. Dibos
Impact in
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- Medical Image Segmentation Techniques
- Image and Object Detection Techniques
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
Papers in
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- Medical Image Segmentation Techniques 5
- Image and Signal Denoising Methods 2
- Image Retrieval and Classification Techniques 1
- Advanced Vision and Imaging 1
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- Advanced Numerical Analysis Techniques 3
- 3D Shape Modeling and Analysis 3
- Co-authors
- Tomeu Coll (1 shared paper)Vicent Caselles (1 shared paper)Georges Koepfler (3 shared papers)Francine Catté (2 shared papers)
- Journals
- Numerische Mathematik (1 paper)IEEE Transactions on Image Processing (1 paper)Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine) (2 papers)
In The Last Decade
F. Dibos
6 papers receiving 1.1k citations
F. Dibos's Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 1.0k
- Computer Graphics and Computer-Aided Design 70
- Media Technology 157
- Biophysics 96
- Computational Mechanics 178
Countries citing papers authored by F. Dibos
This map shows the geographic impact of F. Dibos'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 F. Dibos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Dibos more than expected).
Fields of papers citing papers by F. Dibos
This network shows the impact of papers produced by F. Dibos. 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 F. Dibos. The network helps show where F. Dibos may publish in the future.
Co-authors
The 4 scholars most cited alongside F. Dibos, 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 | A geometric model for active contours in image processing Hit paper breakdown → | 1993 | 1223 |
| 2 | 1998 | 7 | |
| 3 | 2002 | 4 | |
| 4 | 2005 | 3 | |
| 5 | 2002 | 2 | |
| 6 | 2002 | 2 | |
| 7 | 2002 | 0 |
About F. Dibos
F. Dibos is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Advanced Numerical Analysis Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers), Image and Signal Denoising Methods (2 papers), Computer Graphics and Visualization Techniques (2 papers), Advanced Mathematical Modeling in Engineering (1 paper), Image Retrieval and Classification Techniques (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Computer Graphics and Computer-Aided Design (70 citations), Media Technology (157 citations), Biophysics (96 citations) and Computational Mechanics (178 citations). F. Dibos has collaborated with scholars based in France and Spain. Frequent co-authors include Tomeu Coll, Vicent Caselles, Georges Koepfler and Francine Catté. Their work appears in journals such as Numerische Mathematik, IEEE Transactions on Image Processing and Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine).
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.