Chahinez Hani
Impact in
- Health Informatics top 5%
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 1
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- COVID-19 Clinical Research Studies 3
- Co-authors
- Séverine Dangeard (2 shared papers)Guillaume Chassagnon (2 shared papers)Souhail Bennani (1 shared paper)Marie-Pierre Revel (1 shared paper)Inès Saab (1 shared paper)Cedric Michel Lebacle (1 shared paper)L. Rocher (2 shared papers)Odile Launay (1 shared paper)
- Journals
- Cancers (1 paper)Medical Image Analysis (1 paper)Radiology (1 paper)Diagnostic and Interventional Imaging (1 paper)Insights into Imaging (1 paper)
- Partner nations
- France
In The Last Decade
Chahinez Hani
5 papers receiving 503 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 31
- Radiology, Nuclear Medicine and Imaging 274
- Infectious Diseases 175
- Critical Care and Intensive Care Medicine 43
- Neurology 59
Countries citing papers authored by Chahinez Hani
This map shows the geographic impact of Chahinez Hani'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 Chahinez Hani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chahinez Hani more than expected).
Fields of papers citing papers by Chahinez Hani
This network shows the impact of papers produced by Chahinez Hani. 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 Chahinez Hani. The network helps show where Chahinez Hani may publish in the future.
Co-authors
The 12 scholars most cited alongside Chahinez Hani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 332 | |
| 2 | 2020 | 128 | |
| 3 | 2021 | 41 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 5 | |
| 6 | 2026 | 0 |
About Chahinez Hani
Chahinez Hani is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Health Informatics, Critical Care and Intensive Care Medicine and Reproductive Medicine, having authored 6 papers that have together received 512 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), COVID-19 Clinical Research Studies (3 papers), Testicular diseases and treatments (2 papers), Hematological disorders and diagnostics (1 paper), Urologic and reproductive health conditions (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Health Informatics (31 citations), Radiology, Nuclear Medicine and Imaging (274 citations), Infectious Diseases (175 citations), Critical Care and Intensive Care Medicine (43 citations) and Neurology (59 citations). Chahinez Hani has collaborated with scholars based in France. Frequent co-authors include Séverine Dangeard, Guillaume Chassagnon, Souhail Bennani, Marie-Pierre Revel, Inès Saab, Cedric Michel Lebacle, L. Rocher, Odile Launay, Marie‐Pierre Revel and Sophie Ferlicot. Their work appears in journals such as Cancers, Medical Image Analysis, Radiology, Diagnostic and Interventional Imaging and Insights into Imaging.
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.