Soham Deshmukh

552 total citations · 1 hit paper
14 papers, 233 citations indexed

About

Soham Deshmukh is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Soham Deshmukh has authored 14 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 7 papers in Artificial Intelligence and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Soham Deshmukh's work include Music and Audio Processing (10 papers), Speech and Audio Processing (6 papers) and Speech Recognition and Synthesis (6 papers). Soham Deshmukh is often cited by papers focused on Music and Audio Processing (10 papers), Speech and Audio Processing (6 papers) and Speech Recognition and Synthesis (6 papers). Soham Deshmukh collaborates with scholars based in United Kingdom, United States and United Arab Emirates. Soham Deshmukh's 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 and has published in prestigious journals such as Scientific Reports, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Soham Deshmukh

13 papers receiving 221 citations

Hit Papers

CLAP Learning Audio Concepts from Natural Language Superv... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Soham Deshmukh United Kingdom 6 144 122 67 19 14 14 233
Mahmoud Al Ismail United States 5 110 0.8× 85 0.7× 59 0.9× 19 1.0× 13 0.9× 5 189
Helin Wang China 10 220 1.5× 158 1.3× 109 1.6× 12 0.6× 5 0.4× 24 319
Tanel Alumäe Estonia 11 118 0.8× 427 3.5× 46 0.7× 19 1.0× 6 0.4× 49 484
Xinjian Li United States 10 107 0.7× 212 1.7× 20 0.3× 22 1.2× 13 0.9× 32 295
Arun Babu India 3 112 0.8× 248 2.0× 28 0.4× 19 1.0× 7 0.5× 4 299
Dongyoung Kim South Korea 7 84 0.6× 99 0.8× 116 1.7× 4 0.2× 6 0.4× 32 266
Kevin Kilgour Germany 10 156 1.1× 229 1.9× 63 0.9× 16 0.8× 3 0.2× 23 299
Madhu R. Kamble India 13 418 2.9× 394 3.2× 70 1.0× 10 0.5× 9 0.6× 28 469
Xingjian Du China 6 175 1.2× 101 0.8× 76 1.1× 8 0.4× 1 0.1× 16 232
Jakob D. Havtorn Denmark 5 94 0.7× 170 1.4× 18 0.3× 21 1.1× 4 0.3× 7 228

Countries citing papers authored by Soham Deshmukh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

14 of 14 papers shown
1.
Miao, Zhongqi, Benjamin Elizalde, Soham Deshmukh, et al.. (2025). Multi-modal Language models in bioacoustics with zero-shot transfer: a case study. Scientific Reports. 15(1). 7242–7242. 3 indexed citations
2.
Deshmukh, Soham, et al.. (2025). AI-driven Student Task Management Platform With Plagiarism Checker For Submissions. 943–948. 1 indexed citations
3.
Deshmukh, Soham, et al.. (2025). Audio Entailment: Assessing Deductive Reasoning for Audio Understanding. Proceedings of the AAAI Conference on Artificial Intelligence. 39(22). 23769–23777. 1 indexed citations
4.
Elizalde, Benjamin, et al.. (2024). Prompting Audios Using Acoustic Properties for Emotion Representation. 11936–11940. 1 indexed citations
5.
Elizalde, Benjamin, et al.. (2024). Natural Language Supervision For General-Purpose Audio Representations. 336–340. 20 indexed citations
6.
Deshmukh, Soham, et al.. (2024). SELM: Enhancing Speech Emotion Recognition for Out-of-Domain Scenarios. 2345–2349. 2 indexed citations
7.
Deshmukh, Soham, Rita Singh, & Bhiksha Raj. (2024). Domain Adaptation for Contrastive Audio-Language Models. 1680–1684.
8.
Deshmukh, Soham, et al.. (2024). Training Audio Captioning Models without Audio. 371–375. 7 indexed citations
9.
Deshmukh, Soham, Benjamin Elizalde, Hannes Gamper, et al.. (2024). PAM: Prompting Audio-Language Models for Audio Quality Assessment. 3320–3324. 4 indexed citations
10.
Elizalde, Benjamin, Soham Deshmukh, Mahmoud Al Ismail, & Huaming Wang. (2023). CLAP Learning Audio Concepts from Natural Language Supervision. 1–5. 149 indexed citations breakdown →
11.
Deshmukh, Soham, et al.. (2023). Audio Retrieval with WavText5K and CLAP Training. 2948–2952. 19 indexed citations
13.
Deshmukh, Soham, Mahmoud Al Ismail, & Rita Singh. (2021). Interpreting Glottal Flow Dynamics for Detecting Covid-19 From Voice. arXiv (Cornell University). 1055–1059. 18 indexed citations
14.
Deshmukh, Soham, et al.. (2018). Tackling Toxic Online Communication with Recurrent Capsule Networks. 1–7. 6 indexed citations

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.

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