Suman Deb

920 total citations
38 papers, 559 citations indexed

About

Suman Deb is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Suman Deb has authored 38 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Signal Processing, 21 papers in Experimental and Cognitive Psychology and 12 papers in Artificial Intelligence. Recurrent topics in Suman Deb's work include Speech and Audio Processing (27 papers), Emotion and Mood Recognition (21 papers) and Speech Recognition and Synthesis (11 papers). Suman Deb is often cited by papers focused on Speech and Audio Processing (27 papers), Emotion and Mood Recognition (21 papers) and Speech Recognition and Synthesis (11 papers). Suman Deb collaborates with scholars based in India and Germany. Suman Deb's co-authors include Samarendra Dandapat, Jarek Krajewski, Rajesh Kumar Tripathy, Amrita R. Nair, Sridhar Manohar and Deepak Joshi and has published in prestigious journals such as IEEE Transactions on Cybernetics, Speech Communication and Biomedical Signal Processing and Control.

In The Last Decade

Suman Deb

33 papers receiving 540 citations

Peers

Suman Deb
Suman Deb
Citations per year, relative to Suman Deb Suman Deb (= 1×) peers Vedhas Pandit

Countries citing papers authored by Suman Deb

Since Specialization
Citations

This map shows the geographic impact of Suman Deb'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 Suman Deb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suman Deb more than expected).

Fields of papers citing papers by Suman Deb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suman Deb. 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 Suman Deb. The network helps show where Suman Deb may publish in the future.

Co-authorship network of co-authors of Suman Deb

This figure shows the co-authorship network connecting the top 25 collaborators of Suman Deb. A scholar is included among the top collaborators of Suman Deb 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 Suman Deb. Suman Deb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Deb, Suman, et al.. (2024). Fixed frequency range empirical wavelet transform based acoustic and entropy features for speech emotion recognition. Speech Communication. 166. 103148–103148. 3 indexed citations
3.
Deb, Suman, et al.. (2024). Detection of the common cold from speech signals using transformer model and spectral features. Biomedical Signal Processing and Control. 93. 106158–106158. 3 indexed citations
5.
Deb, Suman, et al.. (2024). Speech emotion recognition using multi resolution Hilbert transform based spectral and entropy features. Applied Acoustics. 229. 110403–110403.
6.
Deb, Suman, et al.. (2023). Sinusoidal model-based diagnosis of the common cold from the speech signal. Biomedical Signal Processing and Control. 83. 104653–104653. 18 indexed citations
7.
Deb, Suman, et al.. (2023). Improvement of emotion classification performance using multi-resolution variational mode decomposition method. Biomedical Signal Processing and Control. 89. 105708–105708. 10 indexed citations
8.
Deb, Suman, et al.. (2023). Time-frequency analysis of speech signal using Chirplet transform for automatic diagnosis of Parkinson’s disease. Biomedical Engineering Letters. 13(4). 613–623. 20 indexed citations
9.
Deb, Suman, et al.. (2023). Variational mode decomposition based acoustic and entropy features for speech emotion recognition. Applied Acoustics. 212. 109578–109578. 19 indexed citations
12.
Deb, Suman, et al.. (2023). Chirplet transform based time frequency analysis of speech signal for automated speech emotion recognition. Speech Communication. 155. 102986–102986. 12 indexed citations
13.
Deb, Suman, et al.. (2023). Speech emotion recognition using MFCC-based entropy feature. Signal Image and Video Processing. 18(1). 153–161. 38 indexed citations
14.
Deb, Suman, et al.. (2022). Significance of voiced and unvoiced speech segments for the detection of common cold. Signal Image and Video Processing. 17(5). 1785–1792. 18 indexed citations
15.
Deb, Suman, et al.. (2022). Detection of Common Cold from Speech Signals using Deep Neural Network. Circuits Systems and Signal Processing. 42(3). 1707–1722. 16 indexed citations
16.
Deb, Suman, et al.. (2022). Classification of Cold and Non-Cold Speech Using Vowel-Like Region Segments. 1–5. 11 indexed citations
17.
Deb, Suman, et al.. (2020). Facial Emotion Detection Using Deep Learning. 1–5. 101 indexed citations
18.
Deb, Suman & Samarendra Dandapat. (2017). Exploration of Phase Information for Speech Emotion Classification. 1–5. 7 indexed citations
19.
Deb, Suman & Samarendra Dandapat. (2017). Emotion Classification Using Segmentation of Vowel-Like and Non-Vowel-Like Regions. IEEE Transactions on Affective Computing. 10(3). 360–373. 42 indexed citations
20.
Tripathy, Rajesh Kumar, Suman Deb, & Samarendra Dandapat. (2016). Analysis of physiological signals using state space correlation entropy. Healthcare Technology Letters. 4(1). 30–33. 26 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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