Mohammad Peikari
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- AI in cancer detection 7
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- Ultrasound Imaging and Elastography 3
- Radiomics and Machine Learning in Medical Imaging 2
- Cardiac Imaging and Diagnostics 1
- Co-authors
- Anne L. Martel (7 shared papers)Sharon Nofech‐Mozes (5 shared papers)Sherine Salama (5 shared papers)Mehrdad J. Gangeh (2 shared papers)G. Clarke (1 shared paper)Judit Zubovits (1 shared paper)Shazia Akbar (2 shared papers)Gábor Fichtinger (3 shared papers)
- Journals
- Scientific Reports (2 papers)IEEE Transactions on Medical Imaging (1 paper)Medical Physics (1 paper)European Heart Journal (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Mohammad Peikari
12 papers receiving 268 citations
Peers
Comparison fields: 5 of 82
- Biophysics 42
- Health Informatics 8
- Artificial Intelligence 175
- Radiology, Nuclear Medicine and Imaging 125
- Computer Vision and Pattern Recognition 94
Countries citing papers authored by Mohammad Peikari
This map shows the geographic impact of Mohammad Peikari'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 Peikari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Peikari more than expected).
Fields of papers citing papers by Mohammad Peikari
This network shows the impact of papers produced by Mohammad Peikari. 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 Peikari. The network helps show where Mohammad Peikari may publish in the future.
Co-authors
The 22 scholars most cited alongside Mohammad Peikari, 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 | 2018 | 105 | |
| 2 | 2015 | 57 | |
| 3 | 2019 | 36 | |
| 4 | 2017 | 23 | |
| 5 | 2011 | 19 | |
| 6 | 2018 | 9 | |
| 7 | 2016 | 8 | |
| 8 | 2011 | 5 | |
| 9 | 2018 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2011 | 4 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 |
About Mohammad Peikari
Mohammad Peikari is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biophysics and Radiation, having authored 13 papers that have together received 276 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Digital Imaging for Blood Diseases (4 papers), Ultrasound Imaging and Elastography (3 papers), Cell Image Analysis Techniques (3 papers), Advanced Radiotherapy Techniques (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cardiac Imaging and Diagnostics (1 paper). The work is most often cited by research in Biophysics (42 citations), Health Informatics (8 citations), Artificial Intelligence (175 citations), Radiology, Nuclear Medicine and Imaging (125 citations) and Computer Vision and Pattern Recognition (94 citations). Mohammad Peikari has collaborated with scholars based in Canada and United States. Frequent co-authors include Anne L. Martel, Sharon Nofech‐Mozes, Sherine Salama, Mehrdad J. Gangeh, G. Clarke, Judit Zubovits, Shazia Akbar, Gábor Fichtinger, Tamas Heffter and András Lassó. Their work appears in journals such as Scientific Reports, IEEE Transactions on Medical Imaging, Medical Physics, European Heart Journal and Journal of the American College of Cardiology.
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.