Sunayana Sitaram

132 total papers · 1.2k total citations
56 papers, 453 citations indexed

About

Sunayana Sitaram is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Sunayana Sitaram has authored 56 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 9 papers in Signal Processing and 4 papers in Information Systems. Recurrent topics in Sunayana Sitaram's work include Natural Language Processing Techniques (28 papers), Speech Recognition and Synthesis (21 papers) and Speech and dialogue systems (17 papers). Sunayana Sitaram is often cited by papers focused on Natural Language Processing Techniques (28 papers), Speech Recognition and Synthesis (21 papers) and Speech and dialogue systems (17 papers). Sunayana Sitaram collaborates with scholars based in India, United States and United Kingdom. Sunayana Sitaram's co-authors include Monojit Choudhury, Kalika Bali, Alan W. Black, Sandipan Dandapat, Jack Mostow, Brij Mohan Lal Srivastava, A. Seza Doğruöz, Almeida Jacqueline Toribio, Barbara E. Bullock and Tanuja Ganu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Language Resources and Evaluation and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Sunayana Sitaram

51 papers receiving 391 citations

Author Peers

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

Author Last Decade Papers Cites
Sunayana Sitaram 382 83 34 30 24 56 453
Tim Schlippe 434 1.1× 125 1.5× 55 1.6× 21 0.7× 10 0.4× 41 514
Tien-Ping Tan 326 0.9× 93 1.1× 53 1.6× 33 1.1× 5 0.2× 61 432
Bente Mægaard 425 1.1× 28 0.3× 61 1.8× 45 1.5× 28 1.2× 39 550
Su‐Youn Yoon 402 1.1× 86 1.0× 67 2.0× 37 1.2× 60 2.5× 39 463
Sarah Ita Levitan 263 0.7× 72 0.9× 73 2.1× 86 2.9× 7 0.3× 35 448
Preethi Jyothi 406 1.1× 196 2.4× 58 1.7× 13 0.4× 6 0.3× 77 475
Virach Sornlertlamvanich 389 1.0× 43 0.5× 19 0.6× 43 1.4× 10 0.4× 76 517
Claude Barras 417 1.1× 248 3.0× 71 2.1× 11 0.4× 16 0.7× 33 527
Senja Pollak 378 1.0× 30 0.4× 35 1.0× 76 2.5× 6 0.3× 73 502
Benoît Sagot 482 1.3× 20 0.2× 27 0.8× 22 0.7× 15 0.6× 83 534

Countries citing papers authored by Sunayana Sitaram

Since Specialization
Citations

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

Fields of papers citing papers by Sunayana Sitaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunayana Sitaram

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