Ankur Bapna
Impact in
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Natural Language Processing Techniques 16
- Topic Modeling 14
- Speech Recognition and Synthesis 14
- Speech and dialogue systems 2
- Domain Adaptation and Few-Shot Learning 1
-
- Multimodal Machine Learning Applications 5
- Co-authors
- Orhan Fırat (8 shared papers)Yonghui Wu (2 shared papers)Bhuvana Ramabhadran (5 shared papers)Tara N. Sainath (3 shared papers)Yuan Cao (2 shared papers)Yu Zhang (5 shared papers)Sneha Kudugunta (2 shared papers)Heiga Zen (4 shared papers)
- Journals
- ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2 papers)Interspeech 2022 (3 papers)Zurich Open Repository and Archive (University of Zurich) (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Ankur Bapna
22 papers receiving 657 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 679
- Signal Processing 173
- Computer Vision and Pattern Recognition 179
- Hardware and Architecture 8
- Human-Computer Interaction 5
Countries citing papers authored by Ankur Bapna
This map shows the geographic impact of Ankur Bapna'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 Ankur Bapna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankur Bapna more than expected).
Fields of papers citing papers by Ankur Bapna
This network shows the impact of papers produced by Ankur Bapna. 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 Ankur Bapna. The network helps show where Ankur Bapna may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankur Bapna, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 172 | |
| 2 | 2019 | 107 | |
| 3 | 2023 | 73 | |
| 4 | 2018 | 67 | |
| 5 | 2022 | 54 | |
| 6 | 2019 | 51 | |
| 7 | 2022 | 33 | |
| 8 | 2023 | 31 | |
| 9 | 2021 | 28 | |
| 10 | 2017 | 23 | |
| 11 | 2023 | 16 | |
| 12 | 2023 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 3 |
About Ankur Bapna
Ankur Bapna is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Experimental and Cognitive Psychology, having authored 23 papers that have together received 729 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Topic Modeling (14 papers), Speech Recognition and Synthesis (14 papers), Multimodal Machine Learning Applications (5 papers), Speech and Audio Processing (4 papers), Music and Audio Processing (3 papers), Speech and dialogue systems (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Artificial Intelligence (679 citations), Signal Processing (173 citations), Computer Vision and Pattern Recognition (179 citations), Hardware and Architecture (8 citations) and Human-Computer Interaction (5 citations). Ankur Bapna has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Orhan Fırat, Yonghui Wu, Bhuvana Ramabhadran, Tara N. Sainath, Yuan Cao, Yu Zhang, Sneha Kudugunta, Heiga Zen, Isaac Caswell and Eugene Weinstein. Their work appears in journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Interspeech 2022 and Zurich Open Repository and Archive (University of Zurich).
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.