Harshit Joshi
Impact in
- Applied Psychology top 10%
- Digital Mental Health Interventions
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
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- Mental Health via Writing 7
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- Suicide and Self-Harm Studies 4
- Co-authors
- Ramit Sawhney (7 shared papers)Rajiv Ratn Shah (7 shared papers)Lucie Flek (2 shared papers)Gust Verbruggen (2 shared papers)Sumit Gulwani (3 shared papers)Vu Le (1 shared paper)Sarika Jain (1 shared paper)Alicia L. Nobles (2 shared papers)
- Journals
- Proceedings of the ACM on Programming Languages (1 paper)Journal of the American Medical Informatics Association (1 paper)PubMed (1 paper)2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Harshit Joshi
11 papers receiving 253 citations
Peers
Comparison fields: 5 of 43
- Applied Psychology 53
- Software 35
- Social Psychology 140
- Health Informatics 5
- Artificial Intelligence 112
Countries citing papers authored by Harshit Joshi
This map shows the geographic impact of Harshit Joshi'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 Harshit Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harshit Joshi more than expected).
Fields of papers citing papers by Harshit Joshi
This network shows the impact of papers produced by Harshit Joshi. 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 Harshit Joshi. The network helps show where Harshit Joshi may publish in the future.
Co-authors
The 15 scholars most cited alongside Harshit Joshi, 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 | 67 | |
| 2 | 2023 | 63 | |
| 3 | 2021 | 36 | |
| 4 | 2021 | 34 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 11 | |
| 7 | 2022 | 7 | |
| 8 | Tweet Classification to Assist Human Moderation for Suicide Prevention. | 2021 | 4 |
| 9 | 2021 | 3 | |
| 10 | 2016 | 3 | |
| 11 | 2022 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 |
About Harshit Joshi
Harshit Joshi is a scholar working on Social Psychology, Clinical Psychology, Experimental and Cognitive Psychology, Software and Information Systems, having authored 13 papers that have together received 255 indexed citations. Recurring topics across this work include Mental Health via Writing (7 papers), Suicide and Self-Harm Studies (4 papers), Mental Health Research Topics (4 papers), Digital Mental Health Interventions (3 papers), Software Reliability and Analysis Research (3 papers), Software Testing and Debugging Techniques (3 papers), Software Engineering Research (3 papers) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Applied Psychology (53 citations), Software (35 citations), Social Psychology (140 citations), Health Informatics (5 citations) and Artificial Intelligence (112 citations). Harshit Joshi has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Ramit Sawhney, Rajiv Ratn Shah, Lucie Flek, Gust Verbruggen, Sumit Gulwani, Vu Le, Sarika Jain, Alicia L. Nobles, Di Jin and Ashish Tiwari. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Journal of the American Medical Informatics Association, PubMed, 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.