Varun Arvind
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Spine and Intervertebral Disc Pathology
Papers in
- Surgery 35
- Spinal Fractures and Fixation Techniques 15
- Scoliosis diagnosis and treatment 7
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- Spine and Intervertebral Disc Pathology 18
- Co-authors
- Samuel K. Cho (44 shared papers)Jun Kim (40 shared papers)Alice H. Huang (3 shared papers)Deepak Kaji (8 shared papers)Eric K. Oermann (4 shared papers)Zoe B. Cheung (8 shared papers)Luilly Vargas (3 shared papers)John M. Caridi (5 shared papers)
- Journals
- Global Spine Journal (10 papers)Spine (9 papers)The Spine Journal (5 papers)Spine Deformity (4 papers)Neurospine (3 papers)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Varun Arvind
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 107
- Health Informatics 144
- Pathology and Forensic Medicine 411
- Surgery 713
- Orthopedics and Sports Medicine 85
- Biomedical Engineering 338
Countries citing papers authored by Varun Arvind
This map shows the geographic impact of Varun Arvind'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 Varun Arvind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varun Arvind more than expected).
Fields of papers citing papers by Varun Arvind
This network shows the impact of papers produced by Varun Arvind. 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 Varun Arvind. The network helps show where Varun Arvind may publish in the future.
Co-authors
The 25 scholars most cited alongside Varun Arvind, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 137 | |
| 2 | 2018 | 84 | |
| 3 | 2018 | 71 | |
| 4 | 2018 | 67 | |
| 5 | 2021 | 64 | |
| 6 | 2019 | 58 | |
| 7 | 2018 | 50 | |
| 8 | 2020 | 45 | |
| 9 | 2020 | 39 | |
| 10 | 2020 | 35 | |
| 11 | 2018 | 34 | |
| 12 | 2020 | 33 | |
| 13 | 2022 | 33 | |
| 14 | 2018 | 29 | |
| 15 | 2019 | 29 | |
| 16 | 2017 | 26 | |
| 17 | 2019 | 23 | |
| 18 | 2018 | 22 | |
| 19 | 2023 | 18 | |
| 20 | 2006 | 18 |
About Varun Arvind
Varun Arvind is a scholar working on Surgery, Pathology and Forensic Medicine, Biomedical Engineering, General Health Professions and Epidemiology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (18 papers), Spinal Fractures and Fixation Techniques (15 papers), Medical Imaging and Analysis (12 papers), Patient Satisfaction in Healthcare (11 papers), Scoliosis diagnosis and treatment (7 papers), Social Media in Health Education (6 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers) and Patient-Provider Communication in Healthcare (5 papers). The work is most often cited by research in Health Informatics (144 citations), Pathology and Forensic Medicine (411 citations), Surgery (713 citations), Orthopedics and Sports Medicine (85 citations) and Biomedical Engineering (338 citations). Varun Arvind has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Samuel K. Cho, Jun Kim, Alice H. Huang, Deepak Kaji, Eric K. Oermann, Zoe B. Cheung, Luilly Vargas, John M. Caridi, Brian Cho and Robert Merrill. Their work appears in journals such as Global Spine Journal, Spine, The Spine Journal, Spine Deformity and Neurospine.
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.