Fares Bougourzi
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Analytical Chemistry top 10%
- Co-authors
- Abdelmalik Taleb‐AhmedCosimo DistanteFadi DornaikaAbdenour HadidPaolo SpagnoloKarim MokraniYassine RuichekSalah Eddine Bekhouche
- Topics
- Radiomics and Machine Learning in Medical Imaging (11 papers)COVID-19 diagnosis using AI (10 papers)Face recognition and analysis (8 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsSensors
In The Last Decade
Fares Bougourzi
26 papers receiving 419 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 187
- Artificial Intelligence 155
- Computer Vision and Pattern Recognition 140
- Biomedical Engineering 49
- Analytical Chemistry 42
Countries citing papers authored by Fares Bougourzi
This map shows the geographic impact of Fares Bougourzi'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 Fares Bougourzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fares Bougourzi more than expected).
Fields of papers citing papers by Fares Bougourzi
This network shows the impact of papers produced by Fares Bougourzi. 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 Fares Bougourzi. The network helps show where Fares Bougourzi may publish in the future.
Co-authorship network of co-authors of Fares Bougourzi
This figure shows the co-authorship network connecting the top 25 collaborators of Fares Bougourzi. A scholar is included among the top collaborators of Fares Bougourzi 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 Fares Bougourzi. Fares Bougourzi 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 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | Deep learning techniques for hyperspectral image analysis in agriculture: A reviewbreakdown → | 69 |
| 7 | 0 | |
| 8 | 15 | |
| 9 | 78 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 12 | |
| 13 | 41 | |
| 14 | 37 | |
| 15 | 5 | |
| 16 | LPQ and LDP Descriptors with ML Representation for Kinship verification | 8 |
| 17 | 7 | |
| 18 | Face Anti-Spoofing Combining MLLBP and MLBSIF | 2 |
| 19 | A Comparative Study On Textures Descriptors In Facial Gender Classification | 4 |
| 20 | Detect the Tumor with Numerical Analysis and With "ANOVA" Technique for MRI Image | 3 |
About Fares Bougourzi
Fares Bougourzi is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 429 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), COVID-19 diagnosis using AI (10 papers) and Face recognition and analysis (8 papers). The work is most often cited by research in Health Informatics (26 citations), Radiology, Nuclear Medicine and Imaging (187 citations) and Computer Vision and Pattern Recognition (140 citations). Fares Bougourzi has collaborated with scholars based in France, Italy and Spain. Frequent co-authors include Abdelmalik Taleb‐Ahmed, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb‐Ahmed, Abdenour Hadid, Paolo Spagnolo, Karim Mokrani, Yassine Ruichek, Salah Eddine Bekhouche and Abdelkrim Ouafi. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.
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.