Lama Hassan
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Cognitive Neuroscience
- Co-authors
- Ahmad ChaddadChristian DesrosiersCamel TanougastAhmed BouridaneMatthew ToewsAlain SimonBertrand LiagreAline Pinon
- Topics
- Radiomics and Machine Learning in Medical Imaging (10 papers)AI in cancer detection (5 papers)COVID-19 diagnosis using AI (3 papers)
In The Last Decade
Lama Hassan
17 papers receiving 356 citations
Peers
Comparison fields: 5 of 90
- Radiology, Nuclear Medicine and Imaging 189
- Artificial Intelligence 82
- Pulmonary and Respiratory Medicine 52
- Molecular Biology 44
- Cognitive Neuroscience 44
Countries citing papers authored by Lama Hassan
This map shows the geographic impact of Lama Hassan'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 Lama Hassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lama Hassan more than expected).
Fields of papers citing papers by Lama Hassan
This network shows the impact of papers produced by Lama Hassan. 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 Lama Hassan. The network helps show where Lama Hassan may publish in the future.
Co-authorship network of co-authors of Lama Hassan
This figure shows the co-authorship network connecting the top 25 collaborators of Lama Hassan. A scholar is included among the top collaborators of Lama Hassan 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 Lama Hassan. Lama Hassan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 26 | |
| 5 | 32 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 26 | |
| 9 | 80 | |
| 10 | 33 | |
| 11 | 39 | |
| 12 | 16 | |
| 13 | Wavelet based radiomics for brain tumour phenotypes discrimination | 1 |
| 14 | 2 | |
| 15 | 37 | |
| 16 | 21 | |
| 17 | [Alimentary factors favorable to steatosis caused by overeating in chickens]. | 2 |
About Lama Hassan
Lama Hassan is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 17 papers that have together received 365 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (33 citations), Radiology, Nuclear Medicine and Imaging (189 citations) and Genetics (34 citations). Lama Hassan has collaborated with scholars based in Canada, China and France. Frequent co-authors include Ahmad Chaddad, Christian Desrosiers, Camel Tanougast, Ahmed Bouridane, Matthew Toews, Alain Simon, Bertrand Liagre, Aline Pinon, Youness Limami and Saima Rathore. Their work appears in journals such as PLoS ONE, Experimental Cell Research and IEEE Transactions on Neural Networks and Learning Systems.
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.