Meet Soni
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Speech and Audio Processing 18
- Music and Audio Processing 12
-
- Speech Recognition and Synthesis 12
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Hemant A. Patil (3 shared papers)Neil Shah (2 shared papers)Hemant A. Patil (8 shared papers)Tanvina Patel (2 shared papers)Madhu R. Kamble (1 shared paper)Hardik B. Sailor (1 shared paper)Sunil Kumar Kopparapu (4 shared papers)Rupayan Chakraborty (2 shared papers)
- Journals
- Groundwater for Sustainable Development (1 paper)Speech Communication (1 paper)Lecture notes in computer science (3 papers)2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (1 paper)
- Partner nations
- India
In The Last Decade
Meet Soni
19 papers receiving 423 citations
Peers
Comparison fields: 5 of 56
- Signal Processing 369
- Developmental Biology 16
- Artificial Intelligence 253
- Computational Mechanics 74
- Geochemistry and Petrology 20
Countries citing papers authored by Meet Soni
This map shows the geographic impact of Meet Soni'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 Meet Soni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meet Soni more than expected).
Fields of papers citing papers by Meet Soni
This network shows the impact of papers produced by Meet Soni. 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 Meet Soni. The network helps show where Meet Soni may publish in the future.
Co-authors
The 14 scholars most cited alongside Meet Soni, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 148 | |
| 2 | 2017 | 63 | |
| 3 | 2017 | 47 | |
| 4 | 2019 | 45 | |
| 5 | 2020 | 34 | |
| 6 | 2018 | 31 | |
| 7 | 2016 | 29 | |
| 8 | 2016 | 8 | |
| 9 | 2021 | 7 | |
| 10 | 2016 | 7 | |
| 11 | 2017 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2016 | 5 | |
| 14 | 2017 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2024 | 0 |
About Meet Soni
Meet Soni is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Developmental Biology, having authored 22 papers that have together received 448 indexed citations. Recurring topics across this work include Speech and Audio Processing (18 papers), Music and Audio Processing (12 papers), Speech Recognition and Synthesis (12 papers), Advanced Data Compression Techniques (3 papers), Hearing Loss and Rehabilitation (3 papers), Advanced X-ray Imaging Techniques (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Groundwater and Watershed Analysis (1 paper). The work is most often cited by research in Signal Processing (369 citations), Developmental Biology (16 citations), Artificial Intelligence (253 citations), Computational Mechanics (74 citations) and Geochemistry and Petrology (20 citations). Meet Soni has collaborated with scholars based in India. Frequent co-authors include Hemant A. Patil, Neil Shah, Hemant A. Patil, Tanvina Patel, Madhu R. Kamble, Hardik B. Sailor, Sunil Kumar Kopparapu, Rupayan Chakraborty, Jyoti Shankar and Manan Shah. Their work appears in journals such as Groundwater for Sustainable Development, Speech Communication, Lecture notes in computer science and 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
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.