Fida El Baf
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Human Pose and Action Recognition
- Media Technology top 5%
Papers in
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- Video Surveillance and Tracking Methods 6
- Human Pose and Action Recognition 2
- Image Enhancement Techniques 1
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- Thierry Bouwmans (5 shared papers)Bertrand Vachon (4 shared papers)Alexandra Moignier (1 shared paper)T. Girinsky (1 shared paper)Didier Franck (1 shared paper)Bernard Aubert (1 shared paper)Jean‐François Paul (1 shared paper)Jean-Jacques Mazeron (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (1 paper)Recent Patents on Computer Science (2 papers)SPIE Newsroom (1 paper)2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2 papers)
- Partner nations
- France
In The Last Decade
Fida El Baf
7 papers receiving 593 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 570
- Media Technology 63
- Safety, Risk, Reliability and Quality 62
- Artificial Intelligence 99
- Aerospace Engineering 66
Countries citing papers authored by Fida El Baf
This map shows the geographic impact of Fida El Baf'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 Fida El Baf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fida El Baf more than expected).
Fields of papers citing papers by Fida El Baf
This network shows the impact of papers produced by Fida El Baf. 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 Fida El Baf. The network helps show where Fida El Baf may publish in the future.
Co-authors
The 11 scholars most cited alongside Fida El Baf, 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 | 2008 | 296 | |
| 2 | 2010 | 272 | |
| 3 | 2009 | 33 | |
| 4 | 2014 | 21 | |
| 5 | 2007 | 13 | |
| 6 | 2009 | 3 | |
| 7 | 2009 | 1 |
About Fida El Baf
Fida El Baf is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Water Science and Technology and Electrical and Electronic Engineering, having authored 7 papers that have together received 639 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Measurement and Detection Methods (1 paper), Breast Cancer Treatment Studies (1 paper), Water Quality Monitoring Technologies (1 paper), Infrared Target Detection Methodologies (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (570 citations), Media Technology (63 citations), Safety, Risk, Reliability and Quality (62 citations), Artificial Intelligence (99 citations) and Aerospace Engineering (66 citations). Fida El Baf has collaborated with scholars based in France. Frequent co-authors include Thierry Bouwmans, Bertrand Vachon, Alexandra Moignier, T. Girinsky, Didier Franck, Bernard Aubert, Jean‐François Paul, Jean-Jacques Mazeron, M. Chéa and S. Derreumaux. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Recent Patents on Computer Science, SPIE Newsroom and 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
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.