Arpit Parmar
Impact in
- Clinical Psychology top 10%
- Obsessive-Compulsive Spectrum Disorders
Papers in
-
- Obsessive-Compulsive Spectrum Disorders 7
- Epidemiology 23
- Substance Abuse Treatment and Outcomes 18
- HIV, Drug Use, Sexual Risk 9
- Co-authors
- Siddharth Sarkar (13 shared papers)Yatan Pal Singh Balhara (13 shared papers)Ashwani Kumar Mishra (6 shared papers)Arghya Pal (12 shared papers)Pawan Sharma (11 shared papers)Ravindra Rao (7 shared papers)Roshan Bhad (6 shared papers)Prashant Gupta (4 shared papers)
- Journals
- Asian Journal of Psychiatry (5 papers)Substance Use & Misuse (3 papers)European Psychiatry (2 papers)Drug and Alcohol Review (2 papers)Psychiatry Research (2 papers)
- Partner nations
- IndiaNepalUnited Kingdom
In The Last Decade
Arpit Parmar
65 papers receiving 394 citations
Peers
Comparison fields: 5 of 80
- Clinical Psychology 114
- Applied Psychology 16
- Epidemiology 104
- Psychiatry and Mental health 45
- Toxicology 11
Countries citing papers authored by Arpit Parmar
This map shows the geographic impact of Arpit Parmar'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 Arpit Parmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpit Parmar more than expected).
Fields of papers citing papers by Arpit Parmar
This network shows the impact of papers produced by Arpit Parmar. 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 Arpit Parmar. The network helps show where Arpit Parmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Arpit Parmar, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 37 | |
| 2 | 2018 | 34 | |
| 3 | 2018 | 27 | |
| 4 | 2016 | 25 | |
| 5 | 2017 | 17 | |
| 6 | 2015 | 17 | |
| 7 | 2019 | 15 | |
| 8 | 2019 | 14 | |
| 9 | 2016 | 12 | |
| 10 | 2020 | 10 | |
| 11 | 2017 | 10 | |
| 12 | 2018 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2018 | 8 | |
| 19 | 2017 | 7 | |
| 20 | 2020 | 7 |
About Arpit Parmar
Arpit Parmar is a scholar working on Clinical Psychology, Epidemiology, Psychiatry and Mental health, Public Health, Environmental and Occupational Health and Social Psychology, having authored 75 papers that have together received 403 indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (18 papers), Opioid Use Disorder Treatment (9 papers), HIV, Drug Use, Sexual Risk (9 papers), Mental Health Treatment and Access (8 papers), Cannabis and Cannabinoid Research (7 papers), Obsessive-Compulsive Spectrum Disorders (7 papers), Schizophrenia research and treatment (5 papers) and Alcohol Consumption and Health Effects (4 papers). The work is most often cited by research in Clinical Psychology (114 citations), Applied Psychology (16 citations), Epidemiology (104 citations), Psychiatry and Mental health (45 citations) and Toxicology (11 citations). Arpit Parmar has collaborated with scholars based in India, Nepal and United Kingdom. Frequent co-authors include Siddharth Sarkar, Yatan Pal Singh Balhara, Ashwani Kumar Mishra, Arghya Pal, Pawan Sharma, Ravindra Rao, Roshan Bhad, Prashant Gupta, Pooja Patnaik Kuppili and Atul Ambekar. Their work appears in journals such as Asian Journal of Psychiatry, Substance Use & Misuse, European Psychiatry, Drug and Alcohol Review and Psychiatry Research.
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.