Shrikanth Narayanan
- Experimental and Cognitive Psychology top 0.02%
- Phonetics and Phonology Research 134
- Emotion and Mood Recognition 124
- Signal Processing top 0.01%
- Speech and Audio Processing 244
- Music and Audio Processing 197
- Artificial Intelligence top 0.02%
- Speech Recognition and Synthesis 275
- Speech and dialogue systems 102
- Natural Language Processing Techniques 73
- Topic Modeling 51
- Cognitive Neuroscience top 0.5%
- Co-authors
- Sungbok LeeCarlos BussoAlexandros PotamianosChi-Chun LeeEmily MowerChul Min LeePanayiotis GeorgiouAbe Kazemzadeh
- Journals
- The Journal of the Acoustical Society of America (58 papers)Computer Speech & Language (22 papers)IEEE Transactions on Audio Speech and Language Processing (20 papers)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Shrikanth Narayanan
782 papers receiving 19.4k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Experimental and Cognitive Psychology 10.3k
- Signal Processing 8.0k
- Artificial Intelligence 10.2k
- Computer Vision and Pattern Recognition 3.1k
- Cognitive Neuroscience 2.8k
Countries citing papers authored by Shrikanth Narayanan
This map shows the geographic impact of Shrikanth 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 Shrikanth Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shrikanth Narayanan more than expected).
Fields of papers citing papers by Shrikanth Narayanan
This network shows the impact of papers produced by Shrikanth 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 Shrikanth Narayanan. The network helps show where Shrikanth Narayanan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shrikanth 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 | 2024 | 4 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 24 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 61 | |
| 9 | 2019 | 8 | |
| 10 | 2019 | 33 | |
| 11 | 2017 | 6 | |
| 12 | 2017 | 22 | |
| 13 | Developing an Automated Report Card for Addiction Counseling: The Counselor Observer Ratings Expert for MI (CORE-MI). | 2016 | 5 |
| 14 | 2016 | 10 | |
| 15 | Predicting Affect in Music Using Regression Methods on Low Level Features | 2015 | 1 |
| 16 | Gestural coordination of Brazilian Portugese nasal vowels in CV syllables: A real-time MRI study. | 2015 | 1 |
| 17 | Systematic variation in the articulation of the Korean liquid across prosodic positions. | 2015 | 7 |
| 18 | 2015 | 4 | |
| 19 | Audio Scene Understanding using Topic Models | 2009 | 8 |
| 20 | 2007 | 13 |
About Shrikanth Narayanan
Shrikanth Narayanan is a scholar working on Signal Processing, Experimental and Cognitive Psychology, Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 815 papers that have together received 21.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (275 papers), Speech and Audio Processing (244 papers), Music and Audio Processing (197 papers), Phonetics and Phonology Research (134 papers), Emotion and Mood Recognition (124 papers), Speech and dialogue systems (102 papers), Natural Language Processing Techniques (73 papers) and Topic Modeling (51 papers). The work is most often cited by research in Experimental and Cognitive Psychology (10.3k citations), Signal Processing (8.0k citations), Artificial Intelligence (10.2k citations), Computer Vision and Pattern Recognition (3.1k citations) and Cognitive Neuroscience (2.8k citations). Shrikanth Narayanan has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Sungbok Lee, Carlos Busso, Alexandros Potamianos, Chi-Chun Lee, Emily Mower, Chul Min Lee, Panayiotis Georgiou, Abe Kazemzadeh, Murtaza Bulut and Angeliki Metallinou. Their work appears in journals such as The Journal of the Acoustical Society of America, Computer Speech & Language, IEEE Transactions on Audio Speech and Language Processing, Magnetic Resonance in Medicine and PLoS ONE.
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.