Rishita Anubhai

20 total papers · 2.9k total citations
6 papers, 321 citations indexed

About

Rishita Anubhai is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Rishita Anubhai has authored 6 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Rishita Anubhai's work include Topic Modeling (4 papers), Advanced Text Analysis Techniques (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). Rishita Anubhai is often cited by papers focused on Topic Modeling (4 papers), Advanced Text Analysis Techniques (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). Rishita Anubhai collaborates with scholars based in United States. Rishita Anubhai's co-authors include Dan Boneh, Martin Georgiev, Vitaly Shmatikov, Suman Jana, Yaser Al-Onaizan, Smaranda Muresan, Miguel Ballesteros, Jie Ma, Shuai Wang and Dan Roth and has published in prestigious journals such as Findings of the Association for Computational Linguistics: ACL 2022.

In The Last Decade

Rishita Anubhai

5 papers receiving 308 citations

Hit Papers

The most dangerous code i... 2012 2026 2016 2021 2012 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Rishita Anubhai 176 173 171 82 52 6 321
Martin Georgiev 168 1.0× 220 1.3× 244 1.4× 97 1.2× 90 1.7× 7 354
Greg Banks 142 0.8× 103 0.6× 195 1.1× 130 1.6× 58 1.1× 6 259
Suphannee Sivakorn 130 0.7× 170 1.0× 131 0.8× 68 0.8× 24 0.5× 10 280
Edward García 62 0.4× 217 1.3× 242 1.4× 111 1.4× 99 1.9× 7 325
Thanasis Petsas 63 0.4× 202 1.2× 203 1.2× 167 2.0× 75 1.4× 8 350
Charles Lever 162 0.9× 172 1.0× 169 1.0× 139 1.7× 11 0.2× 8 280
Ronghai Yang 117 0.7× 133 0.8× 206 1.2× 97 1.2× 96 1.8× 9 285
Qi Wang 105 0.6× 94 0.5× 145 0.8× 118 1.4× 32 0.6× 4 241
Takamasa Isohara 86 0.5× 98 0.6× 196 1.1× 182 2.2× 67 1.3× 11 251
Xavier de Carné de Carnavalet 58 0.3× 205 1.2× 168 1.0× 65 0.8× 17 0.3× 10 270

Countries citing papers authored by Rishita Anubhai

Since Specialization
Citations

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

Fields of papers citing papers by Rishita Anubhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rishita Anubhai

This figure shows the co-authorship network connecting the top 25 collaborators of Rishita Anubhai. A scholar is included among the top collaborators of Rishita Anubhai 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 Rishita Anubhai. Rishita Anubhai 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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