David Chandran
Impact in
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- Digital Mental Health Interventions
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 5
- Speech and dialogue systems 3
- Fuzzy Logic and Control Systems 3
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- Mental Health Treatment and Access 4
- Mental Health via Writing 2
- Motivation and Self-Concept in Sports 2
- Co-authors
- Robert Stewart (11 shared papers)Andrea Fernandes (2 shared papers)Rina Dutta (2 shared papers)Sumithra Velupillai (2 shared papers)Keeley Crockett (8 shared papers)Anna Kolliakou (4 shared papers)David McLean (3 shared papers)Lauren Evans (1 shared paper)
- Journals
- BMJ Open (4 papers)Scientific Reports (3 papers)Frontiers in Psychiatry (1 paper)The Journal of Clinical Psychiatry (1 paper)European Psychiatry (1 paper)
- Partner nations
- United KingdomPortugalNetherlands
In The Last Decade
David Chandran
21 papers receiving 268 citations
Peers
Comparison fields: 5 of 66
- Applied Psychology 35
- Health Informatics 9
- Clinical Psychology 115
- Social Psychology 101
- Psychiatry and Mental health 43
Countries citing papers authored by David Chandran
This map shows the geographic impact of David Chandran'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 David Chandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chandran more than expected).
Fields of papers citing papers by David Chandran
This network shows the impact of papers produced by David Chandran. 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 David Chandran. The network helps show where David Chandran may publish in the future.
Co-authors
The 25 scholars most cited alongside David Chandran, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 122 | |
| 2 | 2017 | 28 | |
| 3 | 2019 | 20 | |
| 4 | 2020 | 18 | |
| 5 | 2021 | 12 | |
| 6 | 2016 | 12 | |
| 7 | 2013 | 11 | |
| 8 | 2018 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2015 | 5 | |
| 12 | 2017 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2014 | 4 | |
| 16 | KCL-Health-NLP@CLEF eHealth 2018 Task 1 : ICD-10 coding of French and Italian death certificates with character-level convolutional neural networks | 2018 | 3 |
| 17 | 2024 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2019 | 2 |
About David Chandran
David Chandran is a scholar working on Artificial Intelligence, Social Psychology, Clinical Psychology, Experimental and Cognitive Psychology and Psychiatry and Mental health, having authored 23 papers that have together received 276 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers), Mental Health Treatment and Access (4 papers), Speech and dialogue systems (3 papers), Fuzzy Logic and Control Systems (3 papers), Mental Health and Psychiatry (2 papers), Mental Health via Writing (2 papers) and Motivation and Self-Concept in Sports (2 papers). The work is most often cited by research in Applied Psychology (35 citations), Health Informatics (9 citations), Clinical Psychology (115 citations), Social Psychology (101 citations) and Psychiatry and Mental health (43 citations). David Chandran has collaborated with scholars based in United Kingdom, Portugal and Netherlands. Frequent co-authors include Robert Stewart, Andrea Fernandes, Rina Dutta, Sumithra Velupillai, Keeley Crockett, Anna Kolliakou, David McLean, Lauren Evans, Philippa Garety and Hitesh Shetty. Their work appears in journals such as BMJ Open, Scientific Reports, Frontiers in Psychiatry, The Journal of Clinical Psychiatry and European Psychiatry.
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.