Ananth Sankar

504 total citations
25 papers, 321 citations indexed

About

Ananth Sankar is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ananth Sankar has authored 25 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ananth Sankar's work include Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (8 papers) and Speech and Audio Processing (7 papers). Ananth Sankar is often cited by papers focused on Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (8 papers) and Speech and Audio Processing (7 papers). Ananth Sankar collaborates with scholars based in United States. Ananth Sankar's co-authors include Vassilios Digalakis, Richard J. Mammone, Leonardo Neumeyer, Horacio Franco, Michael Cohen, Victor Abrash, Fuliang Weng, Andreas Stolcke, Venkata Ramana Rao Gadde and Larry Heck and has published in prestigious journals such as The Journal of the Acoustical Society of America, Neural Networks and Speech Communication.

In The Last Decade

Ananth Sankar

24 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ananth Sankar United States 9 284 184 49 18 7 25 321
P.V. de Souza United States 13 402 1.4× 207 1.1× 80 1.6× 29 1.6× 10 1.4× 21 455
Tom Bagby United States 7 359 1.3× 245 1.3× 34 0.7× 11 0.6× 10 1.4× 7 402
Zhongxin Bai China 6 254 0.9× 219 1.2× 39 0.8× 9 0.5× 9 1.3× 10 320
Patrick Verlinde Belgium 6 113 0.4× 179 1.0× 107 2.2× 54 3.0× 8 1.1× 17 253
D.B. Paul United States 8 394 1.4× 247 1.3× 65 1.3× 12 0.7× 16 2.3× 12 431
Yatharth Saraf United States 9 385 1.4× 225 1.2× 57 1.2× 8 0.4× 23 3.3× 17 459
M.M. Hochberg United Kingdom 10 315 1.1× 260 1.4× 44 0.9× 8 0.4× 5 0.7× 19 339
Matt Shannon United Kingdom 11 317 1.1× 250 1.4× 26 0.5× 9 0.5× 16 2.3× 13 372
Takafumi Koshinaka Japan 10 194 0.7× 190 1.0× 25 0.5× 15 0.8× 5 0.7× 27 236

Countries citing papers authored by Ananth Sankar

Since Specialization
Citations

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

Fields of papers citing papers by Ananth Sankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ananth Sankar

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

All Works

20 of 20 papers shown
1.
Sankar, Ananth, Sumanth Doddapaneni, Anoop Kunchukuttan, et al.. (2024). IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages. 15831–15879. 5 indexed citations
2.
Guo, Weiwei, Xiaowei Liu, Sida Wang, et al.. (2020). DeText. 2509–2516. 13 indexed citations
3.
Gupta, Aman, Di Wen, Sumit Srivastava, et al.. (2020). Image and Video Understanding for Recommendation and Spam Detection Systems. 4 indexed citations
4.
Chiu, Chung‐Cheng, Anshuman Tripathi, Katherine Chou, et al.. (2018). Speech Recognition for Medical Conversations. 2972–2976. 41 indexed citations
5.
Sankar, Ananth, et al.. (2008). Development of SRI’s 1997 Broadcast News Transcription System. 5 indexed citations
6.
Sankar, Ananth. (2007). Experiments with a Gaussian Merging-Splitting Algorithm for HMM Training for Speech Recognition. 11 indexed citations
7.
Weng, Fuliang, Andreas Stolcke, & Ananth Sankar. (2007). Hub4 Language Modeling Using Domain Interpolation and Data Clustering. 2 indexed citations
8.
Beaufays, Françoise, et al.. (2003). Learning linguistically valid pronunciations from acoustic data. 2593–2596. 8 indexed citations
9.
Sankar, Ananth, et al.. (2003). A comprehensive study of task-specific adaptation of speech recognition models. Speech Communication. 42(1). 125–139. 3 indexed citations
10.
Sankar, Ananth, Venkata Ramana Rao Gadde, Andreas Stolcke, & Fuliang Weng. (2002). Improved modeling and efficiency for automatic transcription of Broadcast News. Speech Communication. 37(1-2). 133–158. 6 indexed citations
11.
Sankar, Ananth & Venkata Ramana Rao Gadde. (1999). Parameter tying and gaussian clustering for faster, better, and smaller speech recognition. 1711–1714. 8 indexed citations
12.
Sankar, Ananth. (1998). Robust HMM estimation with Gaussian merging-splitting and tied-transform HMMs. paper 0194–0. 3 indexed citations
13.
Weng, Fuliang, Andreas Stolcke, & Ananth Sankar. (1998). Efficient lattice representation and generation. paper 0136–0. 26 indexed citations
14.
Sankar, Ananth. (1998). A new look at HMM parameter tying for large vocabulary speech recognition. paper 0193–0. 8 indexed citations
15.
Sankar, Ananth, et al.. (1997). HMM state clustering across allophone class boundaries. 127–130. 1 indexed citations
16.
Heck, Larry & Ananth Sankar. (1997). Acoustic clustering and adaptation for robust speech recognition. 1867–1870. 7 indexed citations
17.
Abrash, Victor, Horacio Franco, Ananth Sankar, & Michael Cohen. (1995). Connectionist speaker normalization and adaptation. 2183–2186. 54 indexed citations
18.
Sankar, Ananth & Richard J. Mammone. (1992). Neural tree networks. Neural Networks. 281–302. 29 indexed citations
19.
Sankar, Ananth & Allen L. Gorin. (1992). Visual focus of attention in adaptive language acquisition. The Journal of the Acoustical Society of America. 92(4_Supplement). 2369–2369. 2 indexed citations
20.
Sankar, Ananth & Richard J. Mammone. (1991). <title>Combining neural networks and decision trees</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 374–383. 8 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by P.V. de Souza Breakdown of academic impact, for papers by Tom Bagby Breakdown of academic impact, for papers by Zhongxin Bai Breakdown of academic impact, for papers by Patrick Verlinde Breakdown of academic impact, for papers by D.B. Paul Breakdown of academic impact, for papers by Yatharth Saraf Breakdown of academic impact, for papers by M.M. Hochberg Breakdown of academic impact, for papers by Matt Shannon Breakdown of academic impact, for papers by Takafumi Koshinaka
Rankless by CCL
2026