Ruba Priyadharshini
- Artificial Intelligence top 2%
- Communication top 10%
- Information Systems top 10%
- Social Psychology
- Sociology and Political Science
- Co-authors
- Bharathi Raja ChakravarthiJohn P. McCraeSajeetha ThavareesanRahul PonnusamyNavya JoseElizabeth SherlyPrasanna Kumar KumaresanVigneshwaran Muralidaran
- Topics
- Hate Speech and Cyberbullying Detection (16 papers)Topic Modeling (11 papers)Natural Language Processing Techniques (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaLanguage Resources and EvaluationComputer Speech & Language
In The Last Decade
Ruba Priyadharshini
28 papers receiving 466 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 572
- Communication 74
- Information Systems 68
- Social Psychology 48
- Sociology and Political Science 38
Countries citing papers authored by Ruba Priyadharshini
This map shows the geographic impact of Ruba Priyadharshini'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 Ruba Priyadharshini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruba Priyadharshini more than expected).
Fields of papers citing papers by Ruba Priyadharshini
This network shows the impact of papers produced by Ruba Priyadharshini. 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 Ruba Priyadharshini. The network helps show where Ruba Priyadharshini may publish in the future.
Co-authorship network of co-authors of Ruba Priyadharshini
This figure shows the co-authorship network connecting the top 25 collaborators of Ruba Priyadharshini. A scholar is included among the top collaborators of Ruba Priyadharshini 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 Ruba Priyadharshini. Ruba Priyadharshini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 11 | |
| 4 | 22 | |
| 5 | 16 | |
| 6 | 50 | |
| 7 | 16 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 42 | |
| 12 | 13 | |
| 13 | Findings of the Shared Task on Machine Translation in Dravidian languages | 5 |
| 14 | IIITK@LT-EDI-EACL2021: Hope Speech Detection for Equality, Diversity, and Inclusion in Tamil , Malayalam and English | 30 |
| 15 | IIITT@DravidianLangTech-EACL2021: Transfer Learning for Offensive Language Detection in Dravidian Languages | 24 |
| 16 | Findings of the Shared Task on Offensive Language Identification in Tamil, Malayalam, and Kannada | 27 |
| 17 | 3 | |
| 18 | KanCMD: Kannada CodeMixed Dataset for Sentiment Analysis and Offensive Language Detection | 42 |
| 19 | 18 | |
| 20 | 18 |
About Ruba Priyadharshini
Ruba Priyadharshini is a scholar working on Artificial Intelligence, Communication and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 596 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (16 papers), Topic Modeling (11 papers) and Natural Language Processing Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (572 citations), Communication (74 citations) and Signal Processing (35 citations). Ruba Priyadharshini has collaborated with scholars based in India, Ireland and Sri Lanka. Frequent co-authors include Bharathi Raja Chakravarthi, John P. McCrae, Sajeetha Thavareesan, Rahul Ponnusamy, Navya Jose, Elizabeth Sherly, Prasanna Kumar Kumaresan, Vigneshwaran Muralidaran, Shardul Suryawanshi and D. Thenmozhi. Their work appears in journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and Computer Speech & Language.
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.