Navya Jose

491 total citations
5 papers, 215 citations indexed

About

Navya Jose is a scholar working on Artificial Intelligence, Communication and Clinical Psychology. According to data from OpenAlex, Navya Jose has authored 5 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Communication and 1 paper in Clinical Psychology. Recurrent topics in Navya Jose's work include Hate Speech and Cyberbullying Detection (3 papers), Swearing, Euphemism, Multilingualism (2 papers) and Natural Language Processing Techniques (2 papers). Navya Jose is often cited by papers focused on Hate Speech and Cyberbullying Detection (3 papers), Swearing, Euphemism, Multilingualism (2 papers) and Natural Language Processing Techniques (2 papers). Navya Jose collaborates with scholars based in India, Ireland and United Kingdom. Navya Jose's co-authors include Bharathi Raja Chakravarthi, Elizabeth Sherly, John P. McCrae, Shardul Suryawanshi, Ruba Priyadharshini, Vigneshwaran Muralidaran, Dhanshree R. Gunjawate, Rahul Ponnusamy, Thomas Mandl and M. Anand Kumar and has published in prestigious journals such as Journal of Voice, Language Resources and Evaluation and ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway).

In The Last Decade

Navya Jose

5 papers receiving 165 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Navya Jose India	5	188	27	21	17	12	5	215
Sabit Hassan United States	8	171 0.9×	16 0.6×	30 1.4×	6 0.4×	7 0.6×	16	201
Rahul Ponnusamy India	8	172 0.9×	19 0.7×	16 0.8×		15 1.3×	15	178
Prasanna Kumar Kumaresan India	8	177 0.9×	17 0.6×	20 1.0×		16 1.3×	16	184
Vigneshwaran Muralidaran United Kingdom	5	207 1.1×	24 0.9×	26 1.2×		10 0.8×	7	216
Qinlan Shen United States	8	201 1.1×	34 1.3×	21 1.0×		31 2.6×	13	234
Alessandra Teresa Cignarella Italy	9	180 1.0×	16 0.6×	24 1.1×		43 3.6×	19	200
Momchil Hardalov Bulgaria	6	146 0.8×	16 0.6×	44 2.1×		49 4.1×	17	170
Noman Ashraf Mexico	10	244 1.3×	13 0.5×	47 2.2×		29 2.4×	14	290
Marco Del Tredici Netherlands	5	137 0.7×	13 0.5×	23 1.1×		18 1.5×	13	157
Sane Yagi United Arab Emirates	8	136 0.7×	6 0.2×	16 0.8×		9 0.8×	35	215

Countries citing papers authored by Navya Jose

Since Specialization

Citations

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

Fields of papers citing papers by Navya Jose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Navya Jose

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

All Works

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5 of 5 papers shown

1.

Chakravarthi, Bharathi Raja, Ruba Priyadharshini, Vigneshwaran Muralidaran, et al.. (2022). DravidianCodeMix: sentiment analysis and offensive language identification dataset for Dravidian languages in code-mixed text. Language Resources and Evaluation. 56(3). 765–806. 50 indexed citations

2.

Chakravarthi, Bharathi Raja, Ruba Priyadharshini, Navya Jose, et al.. (2021). Findings of the Shared Task on Offensive Language Identification in Tamil, Malayalam, and Kannada. 133–145. 27 indexed citations

3.

Jose, Navya, Bharathi Raja Chakravarthi, Shardul Suryawanshi, Elizabeth Sherly, & John P. McCrae. (2020). A Survey of Current Datasets for Code-Switching Research. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 136–141. 52 indexed citations

4.

Chakravarthi, Bharathi Raja, Ruba Priyadharshini, Vigneshwaran Muralidaran, et al.. (2020). Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text. 21–24. 69 indexed citations

5.

Jose, Navya, et al.. (2015). Prevalence and Influencing Risk Factors of Voice Problems in Priests in Kerala. Journal of Voice. 30(6). 771.e27–771.e32. 17 indexed citations

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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