Soham Deshmukh
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Benjamin ElizaldeMahmoud Al IsmailHuaming WangRita SinghBhiksha RajDimitra EmmanouilidouHannes GamperZhongqi Miao
- Topics
- Music and Audio Processing (10 papers)Speech and Audio Processing (6 papers)Speech Recognition and Synthesis (6 papers)
- Journals
- Scientific ReportsarXiv (Cornell University)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United KingdomUnited StatesUnited Arab Emirates
In The Last Decade
Soham Deshmukh
13 papers receiving 221 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Signal Processing 144
- Artificial Intelligence 122
- Computer Vision and Pattern Recognition 67
- Experimental and Cognitive Psychology 19
- Radiology, Nuclear Medicine and Imaging 14
Countries citing papers authored by Soham Deshmukh
This map shows the geographic impact of Soham Deshmukh'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 Soham Deshmukh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soham Deshmukh more than expected).
Fields of papers citing papers by Soham Deshmukh
This network shows the impact of papers produced by Soham Deshmukh. 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 Soham Deshmukh. The network helps show where Soham Deshmukh may publish in the future.
Co-authorship network of co-authors of Soham Deshmukh
This figure shows the co-authorship network connecting the top 25 collaborators of Soham Deshmukh. A scholar is included among the top collaborators of Soham Deshmukh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Soham Deshmukh. Soham Deshmukh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 20 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | CLAP Learning Audio Concepts from Natural Language Supervisionbreakdown → | 149 |
| 11 | 19 | |
| 12 | 2 | |
| 13 | 18 | |
| 14 | 6 |
About Soham Deshmukh
Soham Deshmukh is a scholar working on Signal Processing, Developmental Biology and Music, having authored 14 papers that have together received 233 indexed citations. Recurring topics across this work include Music and Audio Processing (10 papers), Speech and Audio Processing (6 papers) and Speech Recognition and Synthesis (6 papers). The work is most often cited by research in Signal Processing (144 citations), Artificial Intelligence (122 citations) and Computer Vision and Pattern Recognition (67 citations). Soham Deshmukh has collaborated with scholars based in United Kingdom, United States and United Arab Emirates. Frequent co-authors include Benjamin Elizalde, Mahmoud Al Ismail, Huaming Wang, Rita Singh, Bhiksha Raj, Dimitra Emmanouilidou, Hannes Gamper, Zhongqi Miao, Huaming Wang and Rahul Dodhia. Their work appears in journals such as Scientific Reports, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.