Rahul Ponnusamy
- Artificial Intelligence top 10%
- Social Psychology
- Communication
- Information Systems
- Sociology and Political Science
- Co-authors
- Bharathi Raja ChakravarthiRuba PriyadharshiniPrasanna Kumar KumaresanSajeetha ThavareesanD. ThenmozhiJohn P. McCraeKogilavani ShanmugavadivelMalliga Subramanian
- Topics
- Hate Speech and Cyberbullying Detection (13 papers)Topic Modeling (3 papers)Natural Language Processing Techniques (3 papers)
In The Last Decade
Rahul Ponnusamy
14 papers receiving 165 citations
Peers
Comparison fields: 5 of 23
- Artificial Intelligence 172
- Social Psychology 27
- Communication 19
- Information Systems 16
- Sociology and Political Science 15
Countries citing papers authored by Rahul Ponnusamy
This map shows the geographic impact of Rahul Ponnusamy'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 Rahul Ponnusamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Ponnusamy more than expected).
Fields of papers citing papers by Rahul Ponnusamy
This network shows the impact of papers produced by Rahul Ponnusamy. 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 Rahul Ponnusamy. The network helps show where Rahul Ponnusamy may publish in the future.
Co-authorship network of co-authors of Rahul Ponnusamy
This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Ponnusamy. A scholar is included among the top collaborators of Rahul Ponnusamy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rahul Ponnusamy. Rahul Ponnusamy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 13 | |
| 12 | 29 | |
| 13 | IIITK@LT-EDI-EACL2021: Hope Speech Detection for Equality, Diversity, and Inclusion in Tamil , Malayalam and English | 30 |
| 14 | Findings of the Shared Task on Offensive Language Identification in Tamil, Malayalam, and Kannada | 27 |
| 15 | 30 |
About Rahul Ponnusamy
Rahul Ponnusamy is a scholar working on Developmental Biology, Artificial Intelligence and Communication, having authored 15 papers that have together received 178 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (13 papers), Topic Modeling (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (172 citations), Communication (19 citations) and Social Psychology (27 citations). Rahul Ponnusamy has collaborated with scholars based in India, Ireland and Sri Lanka. Frequent co-authors include Bharathi Raja Chakravarthi, Ruba Priyadharshini, Prasanna Kumar Kumaresan, Sajeetha Thavareesan, D. Thenmozhi, John P. McCrae, Kogilavani Shanmugavadivel, Malliga Subramanian, Navya Jose and Thomas Mandl. Their work appears in journals such as Language Resources and Evaluation, Computer Speech & Language and International Journal of Information Management Data Insights.
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.