Said Charfi
Impact in
- Gastroenterology top 5%
- Gastrointestinal Bleeding Diagnosis and Treatment
-
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
Papers in
-
- Gastrointestinal Bleeding Diagnosis and Treatment 16
-
- Advanced Neural Network Applications 7
- Image Retrieval and Classification Techniques 4
- Medical Image Segmentation Techniques 3
- Video Surveillance and Tracking Methods 2
- Co-authors
- Mohamed El Ansari (21 shared papers)Ayoub Ellahyani (11 shared papers)Ilangko Balasingham (1 shared paper)Lahcen Koutti (11 shared papers)
In The Last Decade
Said Charfi
25 papers receiving 325 citations
Peers
Comparison fields: 5 of 50
- Gastroenterology 135
- Computer Vision and Pattern Recognition 136
- Media Technology 50
- Oncology 116
- Radiology, Nuclear Medicine and Imaging 71
Countries citing papers authored by Said Charfi
This map shows the geographic impact of Said Charfi'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 Said Charfi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Said Charfi more than expected).
Fields of papers citing papers by Said Charfi
This network shows the impact of papers produced by Said Charfi. 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 Said Charfi. The network helps show where Said Charfi may publish in the future.
Co-authors
The 4 scholars most cited alongside Said Charfi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 60 | |
| 2 | 2019 | 28 | |
| 3 | 2022 | 27 | |
| 4 | 2016 | 27 | |
| 5 | 2020 | 24 | |
| 6 | 2021 | 23 | |
| 7 | 2017 | 18 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2019 | 12 | |
| 12 | 2018 | 11 | |
| 13 | 2016 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2017 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 3 |
About Said Charfi
Said Charfi is a scholar working on Gastroenterology, Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology and Epidemiology, having authored 28 papers that have together received 328 indexed citations. Recurring topics across this work include Gastrointestinal Bleeding Diagnosis and Treatment (16 papers), AI in cancer detection (7 papers), Colorectal Cancer Screening and Detection (7 papers), Advanced Neural Network Applications (7 papers), Image Retrieval and Classification Techniques (4 papers), Medical Image Segmentation Techniques (3 papers), Video Surveillance and Tracking Methods (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Gastroenterology (135 citations), Computer Vision and Pattern Recognition (136 citations), Media Technology (50 citations), Oncology (116 citations) and Radiology, Nuclear Medicine and Imaging (71 citations). Said Charfi has collaborated with scholars based in Morocco and Norway. Frequent co-authors include Mohamed El Ansari, Ayoub Ellahyani, Ilangko Balasingham and Lahcen Koutti. Their work appears in journals such as Multimedia Tools and Applications, International Journal of Imaging Systems and Technology, Soft Computing, IEEE Access and Methods.
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.