Mario Jreige
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Oncology
- Hepatology top 10%
- Epidemiology
- Co-authors
- John O. PriorNiklaus SchaeferMarie Nicod LalondeAdrien DepeursingeAxel Van Der GuchtFabio BecceAlban DenysPaul Blanc‐Durand
- Topics
- Radiomics and Machine Learning in Medical Imaging (13 papers)Lung Cancer Diagnosis and Treatment (6 papers)Medical Imaging Techniques and Applications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEOncotarget
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Mario Jreige
36 papers receiving 482 citations
Peers
Comparison fields: 5 of 73
- Radiology, Nuclear Medicine and Imaging 266
- Pulmonary and Respiratory Medicine 147
- Oncology 129
- Hepatology 89
- Epidemiology 67
Countries citing papers authored by Mario Jreige
This map shows the geographic impact of Mario Jreige'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 Mario Jreige with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Jreige more than expected).
Fields of papers citing papers by Mario Jreige
This network shows the impact of papers produced by Mario Jreige. 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 Mario Jreige. The network helps show where Mario Jreige may publish in the future.
Co-authorship network of co-authors of Mario Jreige
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Jreige. A scholar is included among the top collaborators of Mario Jreige 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 Mario Jreige. Mario Jreige is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 28 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 21 | |
| 17 | Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans | 24 |
| 18 | 17 | |
| 19 | 15 | |
| 20 | 4 |
About Mario Jreige
Mario Jreige is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 485 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Health Informatics (21 citations), Radiology, Nuclear Medicine and Imaging (266 citations) and Hepatology (89 citations). Mario Jreige has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include John O. Prior, Niklaus Schaefer, Marie Nicod Lalonde, Adrien Depeursinge, Axel Van Der Gucht, Fabio Becce, Alban Denys, Paul Blanc‐Durand, Anastasia Pomoni and Valentin Oreiller. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncotarget.
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.