Ashwin Parchani
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
-
- Liver Disease Diagnosis and Treatment 2
- Inflammatory Myopathies and Dermatomyositis 2
- Co-authors
- Monika Pathania (6 shared papers)Minakshi Dhar (4 shared papers)Siddharth Gosavi (1 shared paper)Ravi Kant (2 shared papers)Manoj Kumar (1 shared paper)Arindam Kumar Das (1 shared paper)Prasan Kumar Panda (2 shared papers)Aashish Phadke (1 shared paper)
- Journals
- BMJ Open (1 paper)Psychology Research and Behavior Management (1 paper)Frontiers in Artificial Intelligence (1 paper)Journal of Clinical and Experimental Hepatology (1 paper)International Journal of General Medicine (1 paper)
- Partner nations
- India
In The Last Decade
Ashwin Parchani
13 papers receiving 247 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 99
- Health Information Management 15
- Oral Surgery 6
- Geriatrics and Gerontology 3
- Parasitology 5
Countries citing papers authored by Ashwin Parchani
This map shows the geographic impact of Ashwin Parchani'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 Ashwin Parchani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Parchani more than expected).
Fields of papers citing papers by Ashwin Parchani
This network shows the impact of papers produced by Ashwin Parchani. 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 Ashwin Parchani. The network helps show where Ashwin Parchani may publish in the future.
Co-authors
The 16 scholars most cited alongside Ashwin Parchani, 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 | 2023 | 190 | |
| 2 | 2021 | 14 | |
| 3 | 2021 | 12 | |
| 4 | 2023 | 12 | |
| 5 | 2024 | 12 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2020 | 0 | |
| 15 | 2022 | 0 | |
| 16 | 2023 | 0 |
About Ashwin Parchani
Ashwin Parchani is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Health Informatics and Endocrinology, having authored 16 papers that have together received 261 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Pancreatitis Pathology and Treatment (2 papers), COVID-19 and Mental Health (2 papers), Potassium and Related Disorders (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Streptococcal Infections and Treatments (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Health Informatics (99 citations), Health Information Management (15 citations), Oral Surgery (6 citations), Geriatrics and Gerontology (3 citations) and Parasitology (5 citations). Ashwin Parchani has collaborated with scholars based in India. Frequent co-authors include Monika Pathania, Minakshi Dhar, Siddharth Gosavi, Ravi Kant, Manoj Kumar, Arindam Kumar Das, Prasan Kumar Panda, Aashish Phadke, Vikram Singh Rawat and Yogesh Arvind Bahurupi. Their work appears in journals such as BMJ Open, Psychology Research and Behavior Management, Frontiers in Artificial Intelligence, Journal of Clinical and Experimental Hepatology and International Journal of General Medicine.
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.