Souhail Bennani
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Infectious Diseases top 10%
- Neurology
- Oncology
- Co-authors
- Guillaume ChassagnonMarie‐Pierre RevelSéverine DangeardInès SaabRédouane AbouqalA. ZekraouiNaoufel MadaniEnora Guillo
- Topics
- Lung Cancer Diagnosis and Treatment (5 papers)COVID-19 diagnosis using AI (4 papers)Intraperitoneal and Appendiceal Malignancies (3 papers)
- Cited by
- Health InformaticsCritical Care and Intensive Care MedicineRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaRadiologyAmerican Journal of Roentgenology
In The Last Decade
Souhail Bennani
21 papers receiving 578 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Radiology, Nuclear Medicine and Imaging 279
- Pulmonary and Respiratory Medicine 210
- Infectious Diseases 189
- Neurology 85
- Oncology 82
Countries citing papers authored by Souhail Bennani
This map shows the geographic impact of Souhail Bennani'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 Souhail Bennani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Souhail Bennani more than expected).
Fields of papers citing papers by Souhail Bennani
This network shows the impact of papers produced by Souhail Bennani. 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 Souhail Bennani. The network helps show where Souhail Bennani may publish in the future.
Co-authorship network of co-authors of Souhail Bennani
This figure shows the co-authorship network connecting the top 25 collaborators of Souhail Bennani. A scholar is included among the top collaborators of Souhail Bennani 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 Souhail Bennani. Souhail Bennani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 12 | |
| 3 | 8 | |
| 4 | COVID-19 pneumonia: A review of typical CT findings and differential diagnosisbreakdown → | 297 |
| 5 | 11 | |
| 6 | 36 | |
| 7 | 12 | |
| 8 | 23 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 18 | |
| 12 | 19 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | [Orbital metastasis of prostatic carcinoma]. | 8 |
| 17 | [Ductal adenocarcinoma of the prostate: case report and review of the literature]. | 0 |
| 18 | 91 | |
| 19 | 3 | |
| 20 | 6 |
About Souhail Bennani
Souhail Bennani is a scholar working on Reproductive Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 592 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), COVID-19 diagnosis using AI (4 papers) and Intraperitoneal and Appendiceal Malignancies (3 papers). The work is most often cited by research in Health Informatics (30 citations), Critical Care and Intensive Care Medicine (74 citations) and Radiology, Nuclear Medicine and Imaging (279 citations). Souhail Bennani has collaborated with scholars based in France and Morocco. Frequent co-authors include Guillaume Chassagnon, Marie‐Pierre Revel, Séverine Dangeard, Inès Saab, Marie‐Pierre Revel, Rédouane Abouqal, A. Zekraoui, Naoufel Madani, Enora Guillo and Mickaël Tordjman. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and American Journal of Roentgenology.
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.