Sushovan De
Impact in
- Applied Psychology top 5%
- Digital Mental Health Interventions
- Social Psychology top 5%
- Mental Health via Writing
Papers in
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- Privacy-Preserving Technologies in Data 3
- Multi-Agent Systems and Negotiation 2
- Semantic Web and Ontologies 1
- Bayesian Modeling and Causal Inference 1
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- Data Quality and Management 4
- Co-authors
- Munmun De Choudhury (1 shared paper)Massimo Olivucci (1 shared paper)Fernando Bernardi (1 shared paper)Michael A. Robb (1 shared paper)Subbarao Kambhampati (5 shared papers)Yuheng Hu (2 shared papers)Yi Chen (2 shared papers)Kartik Talamadupula (2 shared papers)
- Journals
- Journal of Data and Information Quality (1 paper)Journal of Intelligent Information Systems (1 paper)Journal of the American Chemical Society (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (1 paper)
- Partner nations
- United States
In The Last Decade
Sushovan De
8 papers receiving 641 citations
Sushovan De's Hit Papers
Peers
Comparison fields: 5 of 93
- Applied Psychology 143
- Social Psychology 264
- Communication 73
- Human-Computer Interaction 33
- Physical and Theoretical Chemistry 50
Countries citing papers authored by Sushovan De
This map shows the geographic impact of Sushovan De'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 Sushovan De with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushovan De more than expected).
Fields of papers citing papers by Sushovan De
This network shows the impact of papers produced by Sushovan De. 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 Sushovan De. The network helps show where Sushovan De may publish in the future.
Co-authors
The 10 scholars most cited alongside Sushovan De, 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 | Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity Hit paper breakdown → | 2014 | 517 |
| 2 | 1990 | 103 | |
| 3 | 2016 | 13 | |
| 4 | 2014 | 10 | |
| 5 | 2014 | 8 | |
| 6 | 2013 | 7 | |
| 7 | 2014 | 6 | |
| 8 | Unsupervised Bayesian Data Cleaning Techniques for Structured Data | 2014 | 2 |
About Sushovan De
Sushovan De is a scholar working on Artificial Intelligence, Management Science and Operations Research, Signal Processing, Organic Chemistry and Social Psychology, having authored 8 papers that have together received 666 indexed citations. Recurring topics across this work include Data Quality and Management (4 papers), Privacy-Preserving Technologies in Data (3 papers), Data Management and Algorithms (2 papers), Multi-Agent Systems and Negotiation (2 papers), Evacuation and Crowd Dynamics (1 paper), Semantic Web and Ontologies (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Mental Health via Writing (1 paper). The work is most often cited by research in Applied Psychology (143 citations), Social Psychology (264 citations), Communication (73 citations), Human-Computer Interaction (33 citations) and Physical and Theoretical Chemistry (50 citations). Sushovan De has collaborated with scholars based in United States. Frequent co-authors include Munmun De Choudhury, Massimo Olivucci, Fernando Bernardi, Michael A. Robb, Subbarao Kambhampati, Yuheng Hu, Yi Chen, Kartik Talamadupula, Tathagata Chakraborti and Lydia Manikonda. Their work appears in journals such as Journal of Data and Information Quality, Journal of Intelligent Information Systems, Journal of the American Chemical Society, Proceedings of the International AAAI Conference on Web and Social Media and Proceedings of the AAAI Conference on Human Computation and Crowdsourcing.
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.