Nesma Settouti
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Health Information Management top 2%
- Radiology, Nuclear Medicine and Imaging
- Information Systems top 10%
- Co-authors
- Mohammed Amine ChikhMostafa El Habib DahoVincent BarraImane NedjarSaïd MahmoudiMouloud AdelJesse ReadNathalie Douet‐Guilbert
- Topics
- Digital Imaging for Blood Diseases (9 papers)AI in cancer detection (7 papers)Machine Learning and Data Classification (7 papers)
In The Last Decade
Nesma Settouti
34 papers receiving 319 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 177
- Computer Vision and Pattern Recognition 82
- Health Information Management 77
- Radiology, Nuclear Medicine and Imaging 59
- Information Systems 45
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-authorship network of co-authors of Nesma Settouti
This figure shows the co-authorship network connecting the top 25 collaborators of Nesma Settouti. A scholar is included among the top collaborators of Nesma Settouti 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 Nesma Settouti. Nesma Settouti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 9 | |
| 5 | 9 | |
| 6 | A comparison of U-net backbone architectures for the automatic white blood cells segmentation | 6 |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | Comparaison of Ensemble Cost Sensitive Algorithms: Application to Credit Scoring Prediction. | 2 |
| 13 | 15 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 9 | |
| 18 | Automatic Identification of Diabetes Diseases using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-Nearest Neighbor. | 6 |
| 19 | 3 | |
| 20 | 83 |
About Nesma Settouti
Nesma Settouti is a scholar working on Health Information Management, Biophysics and Artificial Intelligence, 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) and Machine Learning and Data Classification (7 papers). The work is most often cited by research in Health Information Management (77 citations), Health Informatics (9 citations) and Artificial Intelligence (177 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, Nathalie Douet‐Guilbert, Samira Khoulji and Chafiaâ Hamitouche. Their work appears in journals such as Applied Spectroscopy, Journal of Medical Systems and The Computer Journal.
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.