Arjun Sharma
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
Papers in
-
- Head and Neck Cancer Studies 1
-
- Wound Healing and Treatments 1
- Co-authors
- Baihua Li (1 shared paper)Senthil Purushwalkam (1 shared paper)Emma Gowen (1 shared paper)Daniël W. Hommes (3 shared papers)Michael Morris (1 shared paper)Satyananda Kashyap (1 shared paper)Mehdi Moradi (1 shared paper)Yaniv Gur (1 shared paper)
- Journals
- PLoS ONE (1 paper)Journal of Medical Internet Research (1 paper)JAMA Network Open (1 paper)Digestive Diseases and Sciences (1 paper)Academic Radiology (1 paper)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Arjun Sharma
12 papers receiving 254 citations
Peers
Comparison fields: 5 of 57
- Health Informatics 46
- Radiology, Nuclear Medicine and Imaging 81
- Cognitive Neuroscience 67
- Applied Psychology 7
- Health Information Management 6
Countries citing papers authored by Arjun Sharma
This map shows the geographic impact of Arjun Sharma'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 Arjun Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Sharma more than expected).
Fields of papers citing papers by Arjun Sharma
This network shows the impact of papers produced by Arjun Sharma. 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 Arjun Sharma. The network helps show where Arjun Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Arjun Sharma, 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 | 100 | |
| 2 | 2017 | 70 | |
| 3 | 2020 | 36 | |
| 4 | 2022 | 18 | |
| 5 | 2021 | 16 | |
| 6 | 2017 | 12 | |
| 7 | 2009 | 6 | |
| 8 | 2024 | 3 | |
| 9 | 2019 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2025 | 0 |
About Arjun Sharma
Arjun Sharma is a scholar working on Otorhinolaryngology, Rehabilitation, Cognitive Neuroscience, Occupational Therapy and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 266 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (1 paper), Autism Spectrum Disorder Research (1 paper), Head and Neck Cancer Studies (1 paper), Artificial Intelligence in Healthcare (1 paper), Pharmaceutical industry and healthcare (1 paper), Advanced X-ray and CT Imaging (1 paper), Wound Healing and Treatments (1 paper) and Uterine Myomas and Treatments (1 paper). The work is most often cited by research in Health Informatics (46 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Cognitive Neuroscience (67 citations), Applied Psychology (7 citations) and Health Information Management (6 citations). Arjun Sharma has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Baihua Li, Senthil Purushwalkam, Emma Gowen, Daniël W. Hommes, Michael Morris, Satyananda Kashyap, Mehdi Moradi, Yaniv Gur, Babak Saboury and Ali Syed. Their work appears in journals such as PLoS ONE, Journal of Medical Internet Research, JAMA Network Open, Digestive Diseases and Sciences and Academic Radiology.
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.