Arvind Pillai
Impact in
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- Digital Mental Health Interventions
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- Mental Health Research Topics
- Emotion and Mood Recognition
Papers in
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- Mental Health Research Topics 8
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- Mental Health via Writing 3
- Co-authors
- Subigya Nepal (12 shared papers)Rajkumar Soundrapandiyan (1 shared paper)Suresh Chandra Satapathy (1 shared paper)Andrew T. Campbell (12 shared papers)Ki‐Hyun Jung (1 shared paper)Michael V. Heinz (9 shared papers)Nicholas C. Jacobson (9 shared papers)Matthew D. Nemesure (7 shared papers)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (4 papers)Journal of Affective Disorders (2 papers)IEEE Pervasive Computing (1 paper)BMC Psychiatry (1 paper)Psychological Assessment (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Arvind Pillai
19 papers receiving 192 citations
Peers
Comparison fields: 5 of 70
- Applied Psychology 30
- Experimental and Cognitive Psychology 51
- Computer Vision and Pattern Recognition 56
- Internal Medicine 6
- Health Informatics 2
Countries citing papers authored by Arvind Pillai
This map shows the geographic impact of Arvind Pillai'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 Arvind Pillai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Pillai more than expected).
Fields of papers citing papers by Arvind Pillai
This network shows the impact of papers produced by Arvind Pillai. 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 Arvind Pillai. The network helps show where Arvind Pillai may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Pillai, 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 | 2017 | 46 | |
| 2 | 2024 | 24 | |
| 3 | 2022 | 18 | |
| 4 | 2024 | 16 | |
| 5 | 2022 | 15 | |
| 6 | 2024 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2017 | 8 | |
| 10 | 2010 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2009 | 6 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2025 | 0 |
About Arvind Pillai
Arvind Pillai is a scholar working on Experimental and Cognitive Psychology, Social Psychology, Clinical Psychology, Computer Vision and Pattern Recognition and Applied Psychology, having authored 20 papers that have together received 197 indexed citations. Recurring topics across this work include Mental Health Research Topics (8 papers), Digital Mental Health Interventions (4 papers), Mental Health via Writing (3 papers), Context-Aware Activity Recognition Systems (2 papers), Impact of Technology on Adolescents (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), COVID-19 and Mental Health (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Applied Psychology (30 citations), Experimental and Cognitive Psychology (51 citations), Computer Vision and Pattern Recognition (56 citations), Internal Medicine (6 citations) and Health Informatics (2 citations). Arvind Pillai has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Subigya Nepal, Rajkumar Soundrapandiyan, Suresh Chandra Satapathy, Andrew T. Campbell, Ki‐Hyun Jung, Michael V. Heinz, Nicholas C. Jacobson, Matthew D. Nemesure, Amanda C Collins and Jeremy F. Huckins. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Journal of Affective Disorders, IEEE Pervasive Computing, BMC Psychiatry and Psychological Assessment.
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.