Prashanth Vijayaraghavan
Impact in
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- Persona Design and Applications
- Innovative Human-Technology Interaction
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- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
Papers in
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- Topic Modeling 6
- Natural Language Processing Techniques 3
- Hate Speech and Cyberbullying Detection 2
- Sentiment Analysis and Opinion Mining 2
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- Advanced Queuing Theory Analysis 2
- Co-authors
- Deb Roy (10 shared papers)Soroush Vosoughi (3 shared papers)Eric Chu (2 shared papers)Ann Yuan (1 shared paper)Martin Saveski (1 shared paper)Nabeel Gillani (1 shared paper)Deepak Kumar (1 shared paper)Timothy E. Bunchman (1 shared paper)
- Journals
- International Journal of Agile Systems and Management (2 papers)Seminars in Dialysis (1 paper)PLoS ONE (1 paper)Journal of Modelling in Management (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Prashanth Vijayaraghavan
22 papers receiving 159 citations
Peers
Comparison fields: 5 of 61
- Human-Computer Interaction 17
- Artificial Intelligence 71
- Communication 14
- Nephrology 13
- Marketing 10
Countries citing papers authored by Prashanth Vijayaraghavan
This map shows the geographic impact of Prashanth Vijayaraghavan'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 Prashanth Vijayaraghavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashanth Vijayaraghavan more than expected).
Fields of papers citing papers by Prashanth Vijayaraghavan
This network shows the impact of papers produced by Prashanth Vijayaraghavan. 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 Prashanth Vijayaraghavan. The network helps show where Prashanth Vijayaraghavan may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashanth Vijayaraghavan, 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 | 2016 | 34 | |
| 2 | 2017 | 22 | |
| 3 | 2018 | 20 | |
| 4 | 2017 | 15 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 11 | |
| 7 | 2024 | 7 | |
| 8 | 2021 | 5 | |
| 9 | 2017 | 5 | |
| 10 | 2006 | 4 | |
| 11 | 2017 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2006 | 3 | |
| 16 | Modeling Social Media Narratives about Caste-related News Stories. | 2021 | 2 |
| 17 | 2023 | 1 | |
| 18 | 2015 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2020 | 1 |
About Prashanth Vijayaraghavan
Prashanth Vijayaraghavan is a scholar working on Artificial Intelligence, Management Information Systems, Information Systems, Computer Vision and Pattern Recognition and Communication, having authored 23 papers that have together received 163 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (3 papers), Advanced Queuing Theory Analysis (2 papers), Embedded Systems Design Techniques (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Persona Design and Applications (2 papers), Spam and Phishing Detection (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Human-Computer Interaction (17 citations), Artificial Intelligence (71 citations), Communication (14 citations), Nephrology (13 citations) and Marketing (10 citations). Prashanth Vijayaraghavan has collaborated with scholars based in United States and India. Frequent co-authors include Deb Roy, Soroush Vosoughi, Eric Chu, Ann Yuan, Martin Saveski, Nabeel Gillani, Deepak Kumar, Timothy E. Bunchman, Deepa H. Chand and Rupesh Raina. Their work appears in journals such as International Journal of Agile Systems and Management, Seminars in Dialysis, PLoS ONE, Journal of Modelling in Management and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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.