Mohammad Hasanian
Impact in
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- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
Papers in
- Surgery 2
- Vascular anomalies and interventions 1
- Hip disorders and treatments 1
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- Cerebrovascular and Carotid Artery Diseases 1
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 1
- Co-authors
- Saleh Sandoughdaran (2 shared papers)Zahra Mansouri (1 shared paper)Kiara Rezaei‐Kalantari (2 shared papers)Hossein Arabi (2 shared papers)Habib Zaidi (2 shared papers)Isaac Shiri (2 shared papers)Azadeh Akhavanallaf (2 shared papers)Dariush Askari (2 shared papers)
- Journals
- European Radiology (1 paper)International Journal of Cancer Management (1 paper)PubMed (1 paper)Modern Care Journal (2 papers)
- Partner nations
- IranSwitzerlandNetherlands
In The Last Decade
Mohammad Hasanian
5 papers receiving 77 citations
Peers
Comparison fields: 5 of 28
- Health Informatics 9
- Radiology, Nuclear Medicine and Imaging 54
- Critical Care and Intensive Care Medicine 6
- Computer Vision and Pattern Recognition 12
- Biomedical Engineering 24
Countries citing papers authored by Mohammad Hasanian
This map shows the geographic impact of Mohammad Hasanian'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 Mohammad Hasanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Hasanian more than expected).
Fields of papers citing papers by Mohammad Hasanian
This network shows the impact of papers produced by Mohammad Hasanian. 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 Mohammad Hasanian. The network helps show where Mohammad Hasanian may publish in the future.
Co-authors
The 16 scholars most cited alongside Mohammad Hasanian, 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 | 74 | |
| 2 | 2022 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2020 | 1 | |
| 6 | 2022 | 0 |
About Mohammad Hasanian
Mohammad Hasanian is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Neurology, Radiology, Nuclear Medicine and Imaging and Gastroenterology, having authored 6 papers that have together received 78 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper), Vascular anomalies and interventions (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Advanced X-ray and CT Imaging (1 paper), Hip disorders and treatments (1 paper), Gastroesophageal reflux and treatments (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (54 citations), Critical Care and Intensive Care Medicine (6 citations), Computer Vision and Pattern Recognition (12 citations) and Biomedical Engineering (24 citations). Mohammad Hasanian has collaborated with scholars based in Iran, Switzerland and Netherlands. Frequent co-authors include Saleh Sandoughdaran, Zahra Mansouri, Kiara Rezaei‐Kalantari, Hossein Arabi, Habib Zaidi, Isaac Shiri, Azadeh Akhavanallaf, Dariush Askari, Hamid Abdollahi and Sajad P. Shayesteh. Their work appears in journals such as European Radiology, International Journal of Cancer Management, PubMed and Modern Care Journal.
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.