Shankar Kumar
Impact in
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Algorithms and Data Compression
- Text Readability and Simplification
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Topic Modeling 23
- Natural Language Processing Techniques 22
- Speech Recognition and Synthesis 9
- Text Readability and Simplification 7
- Algorithms and Data Compression 6
- Speech and dialogue systems 3
- Domain Adaptation and Few-Shot Learning 2
-
- Music and Audio Processing 2
- Co-authors
- Bill Byrne (2 shared papers)Franz Josef Och (6 shared papers)Wolfgang Macherey (4 shared papers)Lu Han (1 shared paper)Haşim Sak (1 shared paper)Erik McDermott (1 shared paper)Anshuman Tripathi (1 shared paper)Qian Zhang (1 shared paper)
- Journals
- Natural Language Engineering (2 papers)Computer Speech & Language (1 paper)Tetrahedron Letters (1 paper)Learning and analytics in intelligent systems (1 paper)Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Shankar Kumar
31 papers receiving 1.7k citations
Shankar Kumar's Hit Papers
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 1.8k
- Signal Processing 265
- Information Systems 303
- Computer Vision and Pattern Recognition 249
- Statistical and Nonlinear Physics 65
Countries citing papers authored by Shankar Kumar
This map shows the geographic impact of Shankar Kumar'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 Shankar Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shankar Kumar more than expected).
Fields of papers citing papers by Shankar Kumar
This network shows the impact of papers produced by Shankar Kumar. 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 Shankar Kumar. The network helps show where Shankar Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Shankar Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Video suggestion and discovery for youtube Hit paper breakdown → | 2008 | 334 |
| 2 | Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss Hit paper breakdown → | 2020 | 298 |
| 3 | 2001 | 250 | |
| 4 | Minimum Bayes-risk decoding for statistical machine translation | 2004 | 238 |
| 5 | 2004 | 203 | |
| 6 | 2008 | 93 | |
| 7 | 2005 | 81 | |
| 8 | 2009 | 62 | |
| 9 | 2015 | 56 | |
| 10 | 2005 | 52 | |
| 11 | 2003 | 52 | |
| 12 | 2002 | 39 | |
| 13 | Improving Word Alignment with Bridge Languages | 2007 | 38 |
| 14 | 2006 | 32 | |
| 15 | Syntax for Statistical Machine Translation | 2003 | 30 |
| 16 | Model Combination for Machine Translation | 2010 | 26 |
| 17 | 2000 | 23 | |
| 18 | 2017 | 22 | |
| 19 | 2018 | 16 | |
| 20 | 2002 | 13 |
About Shankar Kumar
Shankar Kumar is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Organic Chemistry and Molecular Biology, having authored 31 papers that have together received 2.0k indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Natural Language Processing Techniques (22 papers), Speech Recognition and Synthesis (9 papers), Text Readability and Simplification (7 papers), Algorithms and Data Compression (6 papers), Speech and dialogue systems (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Signal Processing (265 citations), Information Systems (303 citations), Computer Vision and Pattern Recognition (249 citations) and Statistical and Nonlinear Physics (65 citations). Shankar Kumar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Bill Byrne, Franz Josef Och, Wolfgang Macherey, Lu Han, Haşim Sak, Erik McDermott, Anshuman Tripathi, Qian Zhang, Jay Yagnik and Alan W. Black. Their work appears in journals such as Natural Language Engineering, Computer Speech & Language, Tetrahedron Letters, Learning and analytics in intelligent systems and Empirical Methods in Natural Language Processing.
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.