Arun Narayanan
- Signal Processing top 0.2%
- Speech and Audio Processing 42
- Music and Audio Processing 27
- Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis 39
- Topic Modeling 3
- Computational Mechanics top 1%
- Advanced Adaptive Filtering Techniques 10
- Cognitive Neuroscience top 5%
- Hearing Loss and Rehabilitation 4
- Pharmacy top 10%
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- Cardiac pacing and defibrillation studies 5
- Atrial Fibrillation Management and Outcomes 3
- Co-authors
- DeLiang WangYuxuan WangTara N. SainathMichiel BacchianiAnanya MisraK. K. ChinKevin WilsonRon J. Weiss
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (4 papers)SAE technical papers on CD-ROM/SAE technical paper series (3 papers)IEEE Transactions on Audio Speech and Language Processing (2 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Arun Narayanan
60 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Signal Processing 2.1k
- Artificial Intelligence 1.6k
- Computational Mechanics 640
- Cognitive Neuroscience 361
- Pharmacy 38
Countries citing papers authored by Arun Narayanan
This map shows the geographic impact of Arun Narayanan'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 Arun Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Narayanan more than expected).
Fields of papers citing papers by Arun Narayanan
This network shows the impact of papers produced by Arun Narayanan. 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 Arun Narayanan. The network helps show where Arun Narayanan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arun Narayanan, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 19 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 67 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 0 | |
| 16 | The SYNTAX II Score Predicts Mortality at 4 Years in Patients Undergoing Percutaneous Coronary Intervention. | 2018 | 6 |
| 17 | 2017 | 4 | |
| 18 | 2015 | 32 | |
| 19 | 2014 | 45 | |
| 20 | On Training Targets for Supervised Speech Separationbreakdown → | 2014 | 784 |
About Arun Narayanan
Arun Narayanan is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 69 papers that have together received 2.4k indexed citations. Recurring topics across this work include Speech and Audio Processing (42 papers), Speech Recognition and Synthesis (39 papers), Music and Audio Processing (27 papers), Advanced Adaptive Filtering Techniques (10 papers), Cardiac pacing and defibrillation studies (5 papers), Hearing Loss and Rehabilitation (4 papers), Topic Modeling (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). The work is most often cited by research in Signal Processing (2.1k citations), Artificial Intelligence (1.6k citations) and Computational Mechanics (640 citations). Arun Narayanan has collaborated with scholars based in United States, India and Germany. Frequent co-authors include DeLiang Wang, Yuxuan Wang, Tara N. Sainath, Michiel Bacchiani, Ananya Misra, K. K. Chin, Kevin Wilson, Ron J. Weiss, Izhak Shafran and Ehsan Variani. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, SAE technical papers on CD-ROM/SAE technical paper series, IEEE Transactions on Audio Speech and Language Processing, The Journal of the Acoustical Society of America and Journal of the American College of Cardiology.
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.