Muhammad Umer Nasir
Impact in
- Health Informatics top 10%
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Autopsy Techniques and Outcomes
- Radiology practices and education
Papers in
-
- COVID-19 diagnosis using AI 4
- Radiation Dose and Imaging 3
- Radiology practices and education 3
- Autopsy Techniques and Outcomes 2
- Radiomics and Machine Learning in Medical Imaging 1
- Surgery 2
- Co-authors
- Savvas Nicolaou (9 shared papers)Sadia Raheez Qamar (2 shared papers)William Parker (3 shared papers)Aaron So (1 shared paper)Gordon Andrews (1 shared paper)Newton Howard (2 shared papers)Carlo Menon (2 shared papers)Mohamed Elgendi (2 shared papers)
- Journals
- Frontiers in Medicine (2 papers)Korean Journal of Radiology (1 paper)Journal of Allergy and Clinical Immunology (1 paper)Skeletal Radiology (1 paper)Canadian Association of Radiologists Journal (4 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Muhammad Umer Nasir
14 papers receiving 275 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 11
- Radiology, Nuclear Medicine and Imaging 140
- General Dentistry 8
- Critical Care and Intensive Care Medicine 12
- Emergency Medicine 13
Countries citing papers authored by Muhammad Umer Nasir
This map shows the geographic impact of Muhammad Umer Nasir'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 Muhammad Umer Nasir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Umer Nasir more than expected).
Fields of papers citing papers by Muhammad Umer Nasir
This network shows the impact of papers produced by Muhammad Umer Nasir. 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 Muhammad Umer Nasir. The network helps show where Muhammad Umer Nasir may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Umer Nasir, 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 | 2021 | 69 | |
| 2 | 2021 | 56 | |
| 3 | 2020 | 41 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 26 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 13 | |
| 8 | 2020 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2022 | 2 | |
| 13 | 2011 | 1 | |
| 14 | 2022 | 1 |
About Muhammad Umer Nasir
Muhammad Umer Nasir is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Epidemiology, Artificial Intelligence and Biomedical Engineering, having authored 14 papers that have together received 285 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), Radiation Dose and Imaging (3 papers), Radiology practices and education (3 papers), Autopsy Techniques and Outcomes (2 papers), Advanced X-ray and CT Imaging (2 papers), AI in cancer detection (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (140 citations), General Dentistry (8 citations), Critical Care and Intensive Care Medicine (12 citations) and Emergency Medicine (13 citations). Muhammad Umer Nasir has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Savvas Nicolaou, Sadia Raheez Qamar, William Parker, Aaron So, Gordon Andrews, Newton Howard, Carlo Menon, Mohamed Elgendi, Qunfeng Tang and Rabab Ward. Their work appears in journals such as Frontiers in Medicine, Korean Journal of Radiology, Journal of Allergy and Clinical Immunology, Skeletal Radiology and Canadian Association of Radiologists 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.