Arjun Sharma
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
Papers in
-
- Ear Surgery and Otitis Media 1
- Head and Neck Cancer Studies 1
- Co-authors
- Senthil Purushwalkam (1 shared paper)Emma Gowen (1 shared paper)Baihua Li (1 shared paper)Daniël W. Hommes (2 shared papers)Satyananda Kashyap (1 shared paper)Nadeem Ahmad Ansari (1 shared paper)Joy Tzung-Yu Wu (2 shared papers)Alexandros Karargyris (1 shared paper)
- Journals
- Otolaryngology (1 paper)JAMA Network Open (1 paper)eNeuro (1 paper)Academic Radiology (1 paper)Obstetrics and Gynecology (1 paper)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Arjun Sharma
12 papers receiving 276 citations
Peers
Comparison fields: 5 of 60
- Health Informatics 53
- Radiology, Nuclear Medicine and Imaging 91
- Cognitive Neuroscience 70
- Family Practice 3
- Applied Psychology 7
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 | 113 | |
| 2 | 2017 | 70 | |
| 3 | 2020 | 41 | |
| 4 | 2022 | 22 | |
| 5 | 2021 | 17 | |
| 6 | 2017 | 12 | |
| 7 | 2009 | 6 | |
| 8 | 2024 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2026 | 0 | |
| 14 | 2025 | 0 |
About Arjun Sharma
Arjun Sharma is a scholar working on Otorhinolaryngology, Rehabilitation, Cognitive Neuroscience, Occupational Therapy and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 289 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Ear Surgery and Otitis Media (1 paper), Maternal and fetal healthcare (1 paper), Head and Neck Cancer Studies (1 paper), Artificial Intelligence in Healthcare (1 paper), COVID-19 diagnosis using AI (1 paper), Autism Spectrum Disorder Research (1 paper) and Radiology practices and education (1 paper). The work is most often cited by research in Health Informatics (53 citations), Radiology, Nuclear Medicine and Imaging (91 citations), Cognitive Neuroscience (70 citations), Family Practice (3 citations) and Applied Psychology (7 citations). Arjun Sharma has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Senthil Purushwalkam, Emma Gowen, Baihua Li, Daniël W. Hommes, Satyananda Kashyap, Nadeem Ahmad Ansari, Joy Tzung-Yu Wu, Alexandros Karargyris, Michael A. Morris and Ali Syed. Their work appears in journals such as Otolaryngology, JAMA Network Open, eNeuro, Academic Radiology and Obstetrics and Gynecology.
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.