Aditya M. Kulkarni
- Cognitive Neuroscience top 5%
- Hearing Loss and Rehabilitation 17
- Neuroscience and Music Perception 3
- Speech and Hearing top 5%
- Noise Effects and Management 6
- Signal Processing top 5%
- Speech and Audio Processing 13
- Sensory Systems top 10%
- Hearing, Cochlea, Tinnitus, Genetics 3
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- Phonetics and Phonology Research 2
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- Hearing Impairment and Communication 3
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- Aging and Gerontology Research 1
- Co-authors
- Monita ChatterjeeJulie Anja Engelhard ChristensenCharles J. LimbMickael L. D. DerocheKaren Chan BarrettMeredith CaldwellShu-Chen PengPatpong Jiradejvong
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)The Journal of the Acoustical Society of America (7 papers)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Aditya M. Kulkarni
16 papers receiving 306 citations
Peers
Comparison fields: 5 of 43
- Cognitive Neuroscience 280
- Speech and Hearing 85
- Signal Processing 119
- Sensory Systems 53
- Experimental and Cognitive Psychology 107
Countries citing papers authored by Aditya M. Kulkarni
This map shows the geographic impact of Aditya M. Kulkarni'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 Aditya M. Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya M. Kulkarni more than expected).
Fields of papers citing papers by Aditya M. Kulkarni
This network shows the impact of papers produced by Aditya M. Kulkarni. 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 Aditya M. Kulkarni. The network helps show where Aditya M. Kulkarni may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Aditya M. Kulkarni, 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 | 2023 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 0 | |
| 5 | 2020 | 11 | |
| 6 | 2019 | 30 | |
| 7 | 2019 | 17 | |
| 8 | 2019 | 7 | |
| 9 | 2019 | 46 | |
| 10 | 2018 | 1 | |
| 11 | 2018 | 4 | |
| 12 | 2018 | 24 | |
| 13 | 2017 | 4 | |
| 14 | 2016 | 24 | |
| 15 | 2016 | 1 | |
| 16 | 2015 | 3 | |
| 17 | 2014 | 122 | |
| 18 | 2014 | 14 |
About Aditya M. Kulkarni
Aditya M. Kulkarni is a scholar working on Signal Processing, Speech and Hearing and Cognitive Neuroscience, having authored 18 papers that have together received 312 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (17 papers), Speech and Audio Processing (13 papers), Noise Effects and Management (6 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), Neuroscience and Music Perception (3 papers), Hearing Impairment and Communication (3 papers), Phonetics and Phonology Research (2 papers) and Aging and Gerontology Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (280 citations), Speech and Hearing (85 citations) and Signal Processing (119 citations). Aditya M. Kulkarni has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Monita Chatterjee, Julie Anja Engelhard Christensen, Charles J. Limb, Mickael L. D. Deroche, Karen Chan Barrett, Meredith Caldwell, Shu-Chen Peng, Patpong Jiradejvong, Denis Fitzpatrick and Dawna E. Lewis. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Journal of the Acoustical Society of America.
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.