John S. Nemer
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- AI in cancer detection 3
- Surgery 2
- Salivary Gland Tumors Diagnosis and Treatment 2
- Vascular Malformations and Hemangiomas 1
- Co-authors
- Richard Ha (4 shared papers)Simukayi Mutasa (4 shared papers)Mary Sun (3 shared papers)Michael Z. Liu (3 shared papers)Sachin Jambawalikar (3 shared papers)Peter Chang (3 shared papers)Jenika Karcich (2 shared papers)Eduardo Pascual Van Sant (3 shared papers)
- Journals
- Otology & Neurotology (2 papers)Clinical Breast Cancer (1 paper)Journal of Digital Imaging (1 paper)Sensors (1 paper)European Journal of Nuclear Medicine and Molecular Imaging (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
John S. Nemer
11 papers receiving 314 citations
Peers
Comparison fields: 5 of 51
- Radiology, Nuclear Medicine and Imaging 138
- Health Informatics 8
- Physical Therapy, Sports Therapy and Rehabilitation 14
- Oncology 76
- Neurology 20
Countries citing papers authored by John S. Nemer
This map shows the geographic impact of John S. Nemer'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 John S. Nemer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Nemer more than expected).
Fields of papers citing papers by John S. Nemer
This network shows the impact of papers produced by John S. Nemer. 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 John S. Nemer. The network helps show where John S. Nemer may publish in the future.
Co-authors
The 25 scholars most cited alongside John S. Nemer, 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 | 2019 | 95 | |
| 2 | 2019 | 91 | |
| 3 | 2022 | 40 | |
| 4 | 2016 | 24 | |
| 5 | 2017 | 23 | |
| 6 | 2019 | 11 | |
| 7 | 2020 | 10 | |
| 8 | 2019 | 10 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 6 | |
| 11 | 2018 | 2 |
About John S. Nemer
John S. Nemer is a scholar working on Artificial Intelligence, Surgery, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 11 papers that have together received 320 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers), Hearing Loss and Rehabilitation (2 papers), Radiology practices and education (1 paper), Breast Cancer Treatment Studies (1 paper), Advanced X-ray and CT Imaging (1 paper) and Vascular Malformations and Hemangiomas (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (138 citations), Health Informatics (8 citations), Physical Therapy, Sports Therapy and Rehabilitation (14 citations), Oncology (76 citations) and Neurology (20 citations). John S. Nemer has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Richard Ha, Simukayi Mutasa, Mary Sun, Michael Z. Liu, Sachin Jambawalikar, Peter Chang, Jenika Karcich, Eduardo Pascual Van Sant, Nishant Gupta and Randy Yeh. Their work appears in journals such as Otology & Neurotology, Clinical Breast Cancer, Journal of Digital Imaging, Sensors and European Journal of Nuclear Medicine and Molecular Imaging.
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.