Sunayana Sitaram
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Experimental and Cognitive Psychology
- Information Systems
- Developmental and Educational Psychology
- Co-authors
- Monojit ChoudhuryKalika BaliAlan W. BlackSandipan DandapatJack MostowA. Seza DoğruözBrij Mohan Lal SrivastavaAlmeida Jacqueline Toribio
- Topics
- Natural Language Processing Techniques (28 papers)Speech Recognition and Synthesis (21 papers)Speech and dialogue systems (17 papers)
- Journals
- Proceedings of the National Academy of SciencesLanguage Resources and EvaluationInfoscience (Ecole Polytechnique Fédérale de Lausanne)
- Partner nations
- IndiaUnited StatesFinland
In The Last Decade
Sunayana Sitaram
53 papers receiving 402 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 391
- Signal Processing 85
- Experimental and Cognitive Psychology 35
- Information Systems 32
- Developmental and Educational Psychology 24
Countries citing papers authored by Sunayana Sitaram
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 19 | |
| 12 | 33 | |
| 13 | Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers | 10 |
| 14 | 28 | |
| 15 | 6 | |
| 16 | Curriculum Design for Code-switching: Experiments with Language Identification and Language Modeling with Deep Neural Networks | 6 |
| 17 | Speech Synthesis of Code-Mixed Text. | 20 |
| 18 | Text to Speech in New Languages without a Standardized Orthography | 6 |
| 19 | Mining Data from Project LISTEN's Reading Tutor to Analyze Development of Children's Oral Reading Prosody. | 4 |
| 20 | 2 |
About Sunayana Sitaram
Sunayana Sitaram is a scholar working on Artificial Intelligence, Signal Processing and Linguistics and Language, having authored 57 papers that have together received 464 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (28 papers), Speech Recognition and Synthesis (21 papers) and Speech and dialogue systems (17 papers). The work is most often cited by research in Artificial Intelligence (391 citations), Signal Processing (85 citations) and Health Informatics (9 citations). Sunayana Sitaram has collaborated with scholars based in India, United States and Finland. Frequent co-authors include Monojit Choudhury, Kalika Bali, Alan W. Black, Sandipan Dandapat, Jack Mostow, A. Seza Doğruöz, Brij Mohan Lal Srivastava, Almeida Jacqueline Toribio, Tanuja Ganu and Barbara E. Bullock. Their work appears in journals such as Proceedings of the National Academy of Sciences, Language Resources and Evaluation and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.