Ilya Oparin
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Topic Modeling
- Speech and dialogue systems
- Signal Processing top 10%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
-
- Speech Recognition and Synthesis 10
- Natural Language Processing Techniques 10
- Topic Modeling 6
-
- Music and Audio Processing 2
- Co-authors
- Hai-Son Le (2 shared papers)Alexandre Allauzen (2 shared papers)François Yvon (2 shared papers)Jean‐Luc Gauvain (5 shared papers)J.-L. Gauvain (2 shared papers)Martin Sundermeyer (2 shared papers)Hermann Ney (2 shared papers)Ralf Schlüter (1 shared paper)
- Journals
- IEEE Transactions on Audio Speech and Language Processing (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)RWTH Publications (RWTH Aachen) (1 paper)Interspeech 2022 (1 paper)
In The Last Decade
Ilya Oparin
14 papers receiving 262 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 263
- Signal Processing 51
- Computer Vision and Pattern Recognition 56
- Information Systems 12
- Experimental and Cognitive Psychology 6
Countries citing papers authored by Ilya Oparin
This map shows the geographic impact of Ilya Oparin'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 Ilya Oparin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilya Oparin more than expected).
Fields of papers citing papers by Ilya Oparin
This network shows the impact of papers produced by Ilya Oparin. 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 Ilya Oparin. The network helps show where Ilya Oparin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ilya Oparin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 81 | |
| 2 | 2013 | 80 | |
| 3 | 2012 | 51 | |
| 4 | 2012 | 21 | |
| 5 | 2007 | 16 | |
| 6 | 2011 | 16 | |
| 7 | 2008 | 11 | |
| 8 | 2014 | 7 | |
| 9 | 2014 | 7 | |
| 10 | 2022 | 4 | |
| 11 | 2007 | 3 | |
| 12 | 2013 | 2 | |
| 13 | Building Acoustic Models for a Large Vocabulary Continuous Speech Recognizer for Russian | 2008 | 2 |
| 14 | 2010 | 1 |
About Ilya Oparin
Ilya Oparin is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications and General Health Professions, having authored 14 papers that have together received 302 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Natural Language Processing Techniques (10 papers), Topic Modeling (6 papers), Music and Audio Processing (2 papers), Handwritten Text Recognition Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Hermeneutics and Narrative Identity (1 paper) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (263 citations), Signal Processing (51 citations), Computer Vision and Pattern Recognition (56 citations), Information Systems (12 citations) and Experimental and Cognitive Psychology (6 citations). Ilya Oparin has collaborated with scholars based in France, Czechia and Germany. Frequent co-authors include Hai-Son Le, Alexandre Allauzen, François Yvon, Jean‐Luc Gauvain, J.-L. Gauvain, Martin Sundermeyer, Hermann Ney, Ralf Schlüter, Olivier Galibert and Juliette Kahn. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, HAL (Le Centre pour la Communication Scientifique Directe), RWTH Publications (RWTH Aachen), Interspeech 2022 and RWTH Publications (RWTH Aachen).
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.