Nesma Settouti
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- AI in cancer detection 7
- Machine Learning and Data Classification 7
- Text and Document Classification Technologies 4
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- Digital Imaging for Blood Diseases 9
- Face and Expression Recognition 6
- Image Retrieval and Classification Techniques 3
- Co-authors
- Mohammed Amine Chikh (10 shared papers)Mostafa El Habib Daho (15 shared papers)Vincent Barra (2 shared papers)Imane Nedjar (1 shared paper)Saïd Mahmoudi (2 shared papers)Mouloud Adel (2 shared papers)Jesse Read (1 shared paper)Chafiaâ Hamitouche (1 shared paper)
In The Last Decade
Nesma Settouti
34 papers receiving 319 citations
Peers
Comparison fields: 5 of 93
- Health Information Management 77
- Health Informatics 9
- Artificial Intelligence 177
- Computer Vision and Pattern Recognition 82
- Biophysics 18
Countries citing papers authored by Nesma Settouti
This map shows the geographic impact of Nesma Settouti'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 Nesma Settouti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nesma Settouti more than expected).
Fields of papers citing papers by Nesma Settouti
This network shows the impact of papers produced by Nesma Settouti. 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 Nesma Settouti. The network helps show where Nesma Settouti may publish in the future.
Co-authors
The 11 scholars most cited alongside Nesma Settouti, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 83 | |
| 2 | 2016 | 38 | |
| 3 | 2017 | 32 | |
| 4 | 2014 | 20 | |
| 5 | 2015 | 15 | |
| 6 | 2017 | 13 | |
| 7 | 2021 | 9 | |
| 8 | 2012 | 9 | |
| 9 | 2013 | 9 | |
| 10 | 2021 | 9 | |
| 11 | 2013 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2015 | 8 | |
| 14 | 2020 | 7 | |
| 15 | Automatic Identification of Diabetes Diseases using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-Nearest Neighbor. | 2011 | 6 |
| 16 | 2018 | 6 | |
| 17 | A comparison of U-net backbone architectures for the automatic white blood cells segmentation | 2021 | 6 |
| 18 | 2021 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2016 | 6 |
About Nesma Settouti
Nesma Settouti is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Health Information Management, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 38 papers that have together received 341 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (9 papers), AI in cancer detection (7 papers), Artificial Intelligence in Healthcare (7 papers), Machine Learning and Data Classification (7 papers), Face and Expression Recognition (6 papers), Cell Image Analysis Techniques (5 papers), Text and Document Classification Technologies (4 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Health Information Management (77 citations), Health Informatics (9 citations), Artificial Intelligence (177 citations), Computer Vision and Pattern Recognition (82 citations) and Biophysics (18 citations). Nesma Settouti has collaborated with scholars based in Algeria, France and Belgium. Frequent co-authors include Mohammed Amine Chikh, Mostafa El Habib Daho, Vincent Barra, Imane Nedjar, Saïd Mahmoudi, Mouloud Adel, Jesse Read, Chafiaâ Hamitouche, Ayman Alfalou and Samira Khoulji. Their work appears in journals such as Pattern Analysis and Applications, Multidimensional Systems and Signal Processing, Journal of Medical Systems, Evolutionary Intelligence and Applied Spectroscopy.
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.