Guy Nir
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
Papers in ⓘ
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- Ultrasound Imaging and Elastography 12
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Septimiu E. Salcudean (23 shared papers)S. Larry Goldenberg (12 shared papers)Ladan Fazli (9 shared papers)Davood Karimi (3 shared papers)Peter C. Black (4 shared papers)Larry Goldenberg (6 shared papers)Dmitry Turbin (2 shared papers)Davood Karimi (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (3 papers)International Journal of Computer Assisted Radiology and Surgery (2 papers)NMR in Biomedicine (2 papers)Neuroinformatics (1 paper)Medical Physics (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Guy Nir
26 papers receiving 947 citations
Peers
Comparison fields: 5 of 117
- Health Informatics 93
- Radiology, Nuclear Medicine and Imaging 501
- Artificial Intelligence 438
- Pulmonary and Respiratory Medicine 307
- Computer Vision and Pattern Recognition 177
Countries citing papers authored by Guy Nir
This map shows the geographic impact of Guy Nir'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 Guy Nir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Nir more than expected).
Fields of papers citing papers by Guy Nir
This network shows the impact of papers produced by Guy Nir. 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 Guy Nir. The network helps show where Guy Nir may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Nir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 339 | |
| 2 | 2018 | 116 | |
| 3 | 2019 | 94 | |
| 4 | 2019 | 70 | |
| 5 | 2018 | 67 | |
| 6 | 2014 | 44 | |
| 7 | 2017 | 36 | |
| 8 | 2013 | 22 | |
| 9 | 2017 | 19 | |
| 10 | 2014 | 19 | |
| 11 | 2017 | 16 | |
| 12 | 2014 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2014 | 14 | |
| 15 | 2014 | 13 | |
| 16 | 2013 | 12 | |
| 17 | 2013 | 11 | |
| 18 | 2014 | 10 | |
| 19 | 2018 | 6 | |
| 20 | 2017 | 6 |
About Guy Nir
Guy Nir is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence, having authored 26 papers that have together received 966 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (12 papers), AI in cancer detection (8 papers), Medical Image Segmentation Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Ultrasound and Hyperthermia Applications (5 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Robotics and Sensor-Based Localization (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Health Informatics (93 citations), Radiology, Nuclear Medicine and Imaging (501 citations), Artificial Intelligence (438 citations), Pulmonary and Respiratory Medicine (307 citations) and Computer Vision and Pattern Recognition (177 citations). Guy Nir has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Septimiu E. Salcudean, S. Larry Goldenberg, Ladan Fazli, Davood Karimi, Peter C. Black, Larry Goldenberg, Dmitry Turbin, Davood Karimi, Edward C. Jones and Golnoosh Samei. Their work appears in journals such as IEEE Transactions on Medical Imaging, International Journal of Computer Assisted Radiology and Surgery, NMR in Biomedicine, Neuroinformatics and Medical Physics.
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.