Ivan Bulyko
Impact in
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Natural Language Processing Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
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- Speech and Audio Processing
Papers in
-
- Speech Recognition and Synthesis 44
- Natural Language Processing Techniques 4
- Speech and dialogue systems 4
- Topic Modeling 2
- Domain Adaptation and Few-Shot Learning 1
- Adversarial Robustness in Machine Learning 1
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- Handwritten Text Recognition Techniques 1
- Co-authors
- Mari Ostendorf (17 shared papers)Andreas Stolcke (15 shared papers)Yile Gu (16 shared papers)John I. Makhoul (5 shared papers)Man-Hung Siu (4 shared papers)Ankur Gandhe (17 shared papers)Tim Ng (2 shared papers)Richard M. Schwartz (4 shared papers)
- Journals
- Computer Speech & Language (1 paper)Speech Communication (1 paper)IEEE Transactions on Speech and Audio Processing (1 paper)Lecture notes in computer science (1 paper)IEEE Spoken Language Technology Workshop (SLT) (1 paper)
- Partner nations
- United StatesHong KongTaiwan
In The Last Decade
Ivan Bulyko
46 papers receiving 652 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 719
- Signal Processing 19
- Health Informatics 2
- Experimental and Cognitive Psychology 13
- Information Systems 18
Countries citing papers authored by Ivan Bulyko
This map shows the geographic impact of Ivan Bulyko'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 Ivan Bulyko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Bulyko more than expected).
Fields of papers citing papers by Ivan Bulyko
This network shows the impact of papers produced by Ivan Bulyko. 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 Ivan Bulyko. The network helps show where Ivan Bulyko may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Bulyko, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 113 | |
| 2 | 2013 | 83 | |
| 3 | 2007 | 52 | |
| 4 | 2002 | 47 | |
| 5 | 2006 | 35 | |
| 6 | 2023 | 33 | |
| 7 | 2004 | 28 | |
| 8 | 2002 | 26 | |
| 9 | 2022 | 26 | |
| 10 | 2012 | 25 | |
| 11 | 2023 | 25 | |
| 12 | 2005 | 21 | |
| 13 | 2007 | 21 | |
| 14 | 2004 | 19 | |
| 15 | 2021 | 19 | |
| 16 | 2014 | 17 | |
| 17 | 2021 | 14 | |
| 18 | 2004 | 13 | |
| 19 | 2007 | 11 | |
| 20 | 2010 | 10 |
About Ivan Bulyko
Ivan Bulyko is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 48 papers that have together received 757 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (44 papers), Natural Language Processing Techniques (4 papers), Speech and dialogue systems (4 papers), Topic Modeling (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (719 citations), Signal Processing (19 citations), Health Informatics (2 citations), Experimental and Cognitive Psychology (13 citations) and Information Systems (18 citations). Ivan Bulyko has collaborated with scholars based in United States, Hong Kong and Taiwan. Frequent co-authors include Mari Ostendorf, Andreas Stolcke, Yile Gu, John I. Makhoul, Man-Hung Siu, Ankur Gandhe, Tim Ng, Richard M. Schwartz, Ariya Rastrow and Chao-Han Huck Yang. Their work appears in journals such as Computer Speech & Language, Speech Communication, IEEE Transactions on Speech and Audio Processing, Lecture notes in computer science and IEEE Spoken Language Technology Workshop (SLT).
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.