Varun Arvind
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
Papers in
- Surgery 30
- Cervical and Thoracic Myelopathy 7
- Scoliosis diagnosis and treatment 7
- Management of metastatic bone disease 6
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- Artificial Intelligence in Healthcare 4
- Co-authors
- Samuel Kang-Wook Cho (44 shared papers)Jun Kim (40 shared papers)Alice H. Huang (3 shared papers)Deepak A. Kaji (9 shared papers)Eric Karl Oermann (4 shared papers)Zoe B. Cheung (8 shared papers)Brian Cho (13 shared papers)John M. Caridi (6 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 StatesSwitzerlandGermany
In The Last Decade
Varun Arvind
65 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 95
- Health Informatics 218
- Internal Medicine 105
- Infectious Diseases 293
- Surgery 578
- Health Information Management 117
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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 347 | |
| 2 | 2017 | 155 | |
| 3 | 2018 | 94 | |
| 4 | 2018 | 78 | |
| 5 | 2018 | 78 | |
| 6 | 2021 | 77 | |
| 7 | 2019 | 65 | |
| 8 | 2018 | 56 | |
| 9 | 2020 | 50 | |
| 10 | 2020 | 49 | |
| 11 | 2020 | 42 | |
| 12 | 2022 | 41 | |
| 13 | 2018 | 40 | |
| 14 | 2020 | 35 | |
| 15 | 2019 | 33 | |
| 16 | 2017 | 32 | |
| 17 | 2018 | 30 | |
| 18 | 2019 | 25 | |
| 19 | 2018 | 24 | |
| 20 | 2023 | 23 |
About Varun Arvind
Varun Arvind is a scholar working on Surgery, Health Information Management, Pathology and Forensic Medicine, General Health Professions and Artificial Intelligence, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Patient Satisfaction in Healthcare (8 papers), Spine and Intervertebral Disc Pathology (8 papers), Cervical and Thoracic Myelopathy (7 papers), Scoliosis diagnosis and treatment (7 papers), Management of metastatic bone disease (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Artificial Intelligence in Healthcare (4 papers) and Machine Learning in Healthcare (4 papers). The work is most often cited by research in Health Informatics (218 citations), Internal Medicine (105 citations), Infectious Diseases (293 citations), Surgery (578 citations) and Health Information Management (117 citations). Varun Arvind has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Samuel Kang-Wook Cho, Jun Kim, Alice H. Huang, Deepak A. Kaji, Eric Karl Oermann, Zoe B. Cheung, Brian Cho, John M. Caridi, Luilly Vargas 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.