Abhinav Sethy

2.0k total citations
73 papers, 1.4k citations indexed

About

Abhinav Sethy is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Abhinav Sethy has authored 73 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 23 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Abhinav Sethy's work include Speech Recognition and Synthesis (59 papers), Natural Language Processing Techniques (52 papers) and Topic Modeling (36 papers). Abhinav Sethy is often cited by papers focused on Speech Recognition and Synthesis (59 papers), Natural Language Processing Techniques (52 papers) and Topic Modeling (36 papers). Abhinav Sethy collaborates with scholars based in United States, Germany and Türkiye. Abhinav Sethy's co-authors include Bhuvana Ramabhadran, Shrikanth Narayanan, Sungbok Lee, Krishna S. Nayak, Dani Byrd, Brian Kingsbury, Kartik Audhkhasi, Carolina Parada, Ebru Arısoy and Panayiotis Georgiou and has published in prestigious journals such as The Journal of the Acoustical Society of America, IBM Journal of Research and Development and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Abhinav Sethy

70 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhinav Sethy United States 23 1.2k 637 186 104 59 73 1.4k
Denis Jouvet France 13 775 0.6× 627 1.0× 157 0.8× 111 1.1× 30 0.5× 87 940
Jangwon Kim United States 13 320 0.3× 250 0.4× 245 1.3× 33 0.3× 161 2.7× 48 591
Korin Richmond United Kingdom 25 1.4k 1.1× 1.1k 1.8× 638 3.4× 102 1.0× 91 1.5× 95 1.7k
Gregory Sell United States 17 2.4k 1.9× 2.1k 3.3× 122 0.7× 159 1.5× 99 1.7× 38 2.6k
Tom Ko China 13 1.6k 1.3× 1.3k 2.0× 107 0.6× 167 1.6× 54 0.9× 44 1.8k
Jean-François Bonastre France 21 1.8k 1.4× 1.7k 2.7× 137 0.7× 311 3.0× 106 1.8× 143 2.2k
Rohit Sinha India 19 946 0.8× 900 1.4× 112 0.6× 130 1.3× 61 1.0× 123 1.2k
Jonathan Shen United States 5 1.4k 1.1× 936 1.5× 90 0.5× 205 2.0× 45 0.8× 7 1.6k
Xixin Wu Hong Kong 17 705 0.6× 499 0.8× 209 1.1× 112 1.1× 98 1.7× 106 916
Qiantong Xu Israel 7 643 0.5× 311 0.5× 46 0.2× 80 0.8× 26 0.4× 12 730

Countries citing papers authored by Abhinav Sethy

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Sethy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Sethy

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Sethy. A scholar is included among the top collaborators of Abhinav Sethy 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 Abhinav Sethy. Abhinav Sethy 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.
Richardson, Christopher, et al.. (2023). Learning to Retrieve Engaging Follow-Up Queries. 2009–2016. 2 indexed citations
2.
Cui, Jia, Brian Kingsbury, Bhuvana Ramabhadran, et al.. (2017). Knowledge distillation across ensembles of multilingual models for low-resource languages. 4825–4829. 29 indexed citations
3.
Sercu, Tom, George Saon, Jia Cui, et al.. (2017). Network architectures for multilingual speech representation learning. 5295–5299. 16 indexed citations
4.
Audhkhasi, Kartik, Abhinav Sethy, Bhuvana Ramabhadran, & Shrikanth Narayanan. (2014). Semi-supervised term-weighted value rescoring for keyword search. 7. 7869–7873. 6 indexed citations
5.
Sethy, Abhinav, et al.. (2013). Joint training of interpolated exponential n-gram models. 99. 25–30. 4 indexed citations
6.
Cui, Jia, Xiaodong Cui, Bhuvana Ramabhadran, et al.. (2013). Developing speech recognition systems for corpus indexing under the IARPA Babel program. 6753–6757. 30 indexed citations
7.
Saraçlar, Murat, Abhinav Sethy, Bhuvana Ramabhadran, et al.. (2013). An empirical study of confusion modeling in keyword search for low resource languages. 464–469. 27 indexed citations
8.
Arısoy, Ebru, Stanley F. Chen, Bhuvana Ramabhadran, & Abhinav Sethy. (2013). Converting Neural Network Language Models into Back-off Language Models for Efficient Decoding in Automatic Speech Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(1). 184–192. 22 indexed citations
9.
Mamou, Jonathan, Jia Cui, Xiaodong Cui, et al.. (2013). System combination and score normalization for spoken term detection. 51. 8272–8276. 43 indexed citations
10.
Arısoy, Ebru, Stanley F. Chen, Bhuvana Ramabhadran, & Abhinav Sethy. (2013). Converting Neural Network Language Models into back-off language models for efficient decoding in automatic speech recognition. 18. 8242–8246. 31 indexed citations
11.
12.
Sarikaya, Ruhi, Stanley F. Chen, Abhinav Sethy, & Bhuvana Ramabhadran. (2010). Impact of word classing on shrinkage-based language models. 1804–1807. 8 indexed citations
13.
Parada, Carolina, Abhinav Sethy, & Bhuvana Ramabhadran. (2010). Balancing false alarms and hits in Spoken Term Detection. 5286–5289. 22 indexed citations
14.
Rastrow, Ariya, Abhinav Sethy, & Bhuvana Ramabhadran. (2009). Constrained discriminative training of N-gram language models. 1. 311–316. 5 indexed citations
15.
Parada, Carolina, Abhinav Sethy, & Bhuvana Ramabhadran. (2009). Query-by-example Spoken Term Detection For OOV terms. 404–409. 60 indexed citations
16.
Can, Doğan, et al.. (2009). Effect of pronounciations on OOV queries in spoken term detection. 3957–3960. 46 indexed citations
17.
Rastrow, Ariya, Abhinav Sethy, & Bhuvana Ramabhadran. (2009). A new method for OOV detection using hybrid word/fragment system. 3953–3956. 41 indexed citations
18.
Hahn, Sangyun, Abhinav Sethy, Hong-Kwang Jeff Kuo, & Bhuvana Ramabhadran. (2008). A study of unsupervised clustering techniques for language modeling. 1598–1601. 1 indexed citations
19.
Narayanan, Shrikanth, Krishna S. Nayak, Sungbok Lee, Abhinav Sethy, & Dani Byrd. (2004). An approach to real-time magnetic resonance imaging for speech production. The Journal of the Acoustical Society of America. 115(4). 1771–1776. 240 indexed citations
20.
Sethy, Abhinav, et al.. (2002). A syllable-based approach for improved recognition of spoken names. 25 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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