Sajeetha Thavareesan

40 total papers · 784 total citations
16 papers, 486 citations indexed

About

Sajeetha Thavareesan is a scholar working on Artificial Intelligence, Communication and Sociology and Political Science. According to data from OpenAlex, Sajeetha Thavareesan has authored 16 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Communication and 2 papers in Sociology and Political Science. Recurrent topics in Sajeetha Thavareesan's work include Hate Speech and Cyberbullying Detection (7 papers), Topic Modeling (6 papers) and Sentiment Analysis and Opinion Mining (5 papers). Sajeetha Thavareesan is often cited by papers focused on Hate Speech and Cyberbullying Detection (7 papers), Topic Modeling (6 papers) and Sentiment Analysis and Opinion Mining (5 papers). Sajeetha Thavareesan collaborates with scholars based in Sri Lanka, India and Ireland. Sajeetha Thavareesan's co-authors include Sinnathamby Mahesan, Bharathi Raja Chakravarthi, Ruba Priyadharshini, Rahul Ponnusamy, Prasanna Kumar Kumaresan, D. Thenmozhi, M. Anand Kumar, C. N. Subalalitha, John P. McCrae and Kogilavani Shanmugavadivel and has published in prestigious journals such as Asian Journal of Education and Social Studies.

In The Last Decade

Sajeetha Thavareesan

16 papers receiving 378 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sajeetha Thavareesan 463 69 43 43 40 16 486
Sinnathamby Mahesan 411 0.9× 59 0.9× 45 1.0× 60 1.4× 24 0.6× 15 440
Manoj Kumar Chinnakotla 458 1.0× 118 1.7× 18 0.4× 66 1.5× 34 0.8× 23 548
David K. Elson 423 0.9× 48 0.7× 10 0.2× 61 1.4× 38 0.9× 18 504
Christos Baziotis 372 0.8× 72 1.0× 13 0.3× 37 0.9× 18 0.5× 7 434
Mladen Karan 358 0.8× 71 1.0× 22 0.5× 22 0.5× 21 0.5× 27 414
Balázs Kis 340 0.7× 48 0.7× 12 0.3× 24 0.6× 12 0.3× 12 439
Andrea Cimino 407 0.9× 84 1.2× 91 2.1× 45 1.0× 47 1.2× 14 498
Fazal Masud Kundi 441 1.0× 137 2.0× 13 0.3× 13 0.3× 17 0.4× 17 547
Sandro Cavallari 385 0.8× 63 0.9× 10 0.2× 84 2.0× 23 0.6× 8 498
Ranjan Satapathy 310 0.7× 54 0.8× 7 0.2× 59 1.4× 29 0.7× 25 410

Countries citing papers authored by Sajeetha Thavareesan

Since Specialization
Citations

This map shows the geographic impact of Sajeetha Thavareesan'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 Sajeetha Thavareesan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajeetha Thavareesan more than expected).

Fields of papers citing papers by Sajeetha Thavareesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sajeetha Thavareesan. 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 Sajeetha Thavareesan. The network helps show where Sajeetha Thavareesan may publish in the future.

Co-authorship network of co-authors of Sajeetha Thavareesan

This figure shows the co-authorship network connecting the top 25 collaborators of Sajeetha Thavareesan. A scholar is included among the top collaborators of Sajeetha Thavareesan 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 Sajeetha Thavareesan. Sajeetha Thavareesan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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2026