Salem Hannoun
- Pathology and Forensic Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cognitive Neuroscience top 10%
- Psychiatry and Mental health top 10%
- Neurology top 10%
- Co-authors
- Dominique Sappey‐MarinierFrançois CottonFrançoise Durand‐DubiefGabriel KocevarSandra VukusicClaudio StamileChristian ConfavreuxCharles R.G. Guttmann
- Topics
- Multiple Sclerosis Research Studies (23 papers)Advanced Neuroimaging Techniques and Applications (21 papers)Advanced MRI Techniques and Applications (9 papers)
- Cited by
- Pathology and Forensic MedicineRadiology, Nuclear Medicine and ImagingCognitive Neuroscience
- Partner nations
- LebanonFranceUnited States
In The Last Decade
Salem Hannoun
52 papers receiving 739 citations
Peers
Comparison fields: 5 of 88
- Pathology and Forensic Medicine 292
- Radiology, Nuclear Medicine and Imaging 289
- Cognitive Neuroscience 207
- Psychiatry and Mental health 129
- Neurology 104
Countries citing papers authored by Salem Hannoun
This map shows the geographic impact of Salem Hannoun'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 Salem Hannoun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salem Hannoun more than expected).
Fields of papers citing papers by Salem Hannoun
This network shows the impact of papers produced by Salem Hannoun. 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 Salem Hannoun. The network helps show where Salem Hannoun may publish in the future.
Co-authorship network of co-authors of Salem Hannoun
This figure shows the co-authorship network connecting the top 25 collaborators of Salem Hannoun. A scholar is included among the top collaborators of Salem Hannoun 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 Salem Hannoun. Salem Hannoun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 8 | |
| 7 | 35 | |
| 8 | 11 | |
| 9 | 13 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 12 | |
| 16 | 72 | |
| 17 | 29 | |
| 18 | 69 | |
| 19 | 59 | |
| 20 | 32 |
About Salem Hannoun
Salem Hannoun is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 54 papers that have together received 749 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (23 papers), Advanced Neuroimaging Techniques and Applications (21 papers) and Advanced MRI Techniques and Applications (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (292 citations), Radiology, Nuclear Medicine and Imaging (289 citations) and Cognitive Neuroscience (207 citations). Salem Hannoun has collaborated with scholars based in Lebanon, France and United States. Frequent co-authors include Dominique Sappey‐Marinier, François Cotton, Françoise Durand‐Dubief, Gabriel Kocevar, Sandra Vukusic, Claudio Stamile, Christian Confavreux, Charles R.G. Guttmann, Samia J. Khoury and Danielle Ibarrola. Their work appears in journals such as PLoS ONE, Brain and Neurology.
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.