Rupayan Chakraborty

426 total citations
37 papers, 245 citations indexed

About

Rupayan Chakraborty is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Rupayan Chakraborty has authored 37 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Signal Processing, 17 papers in Artificial Intelligence and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Rupayan Chakraborty's work include Speech and Audio Processing (24 papers), Music and Audio Processing (19 papers) and Speech Recognition and Synthesis (13 papers). Rupayan Chakraborty is often cited by papers focused on Speech and Audio Processing (24 papers), Music and Audio Processing (19 papers) and Speech Recognition and Synthesis (13 papers). Rupayan Chakraborty collaborates with scholars based in India, Spain and United States. Rupayan Chakraborty's co-authors include Sunil Kumar Kopparapu, Climent Nadeu, Meet Soni, Ehtesham Hassan, Hiranmay Ghosh, Utpal Garain, Sanat Sarangi, Srinivasu Pappula, Martin Wolf and Preeti Rao and has published in prestigious journals such as Biomedical Signal Processing and Control, EURASIP Journal on Audio Speech and Music Processing and PubMed.

In The Last Decade

Rupayan Chakraborty

34 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rupayan Chakraborty India 10 121 112 101 49 38 37 245
Yassine Ben Ayed Tunisia 10 135 1.1× 90 0.8× 142 1.4× 53 1.1× 56 1.5× 33 350
Syed Asif Ahmad Qadri Malaysia 8 130 1.1× 157 1.4× 88 0.9× 31 0.6× 25 0.7× 11 283
S. Lalitha India 10 154 1.3× 225 2.0× 168 1.7× 50 1.0× 82 2.2× 29 397
Turgut Özseven Türkiye 8 183 1.5× 179 1.6× 97 1.0× 37 0.8× 83 2.2× 27 311
Taiba Majid Wani Italy 5 125 1.0× 145 1.3× 84 0.8× 27 0.6× 23 0.6× 10 258
Philipp Klumpp Germany 9 83 0.7× 48 0.4× 129 1.3× 28 0.6× 36 0.9× 24 280
Efthymios Tzinis United States 10 194 1.6× 54 0.5× 145 1.4× 26 0.5× 28 0.7× 19 265
V. Ramu Reddy India 10 136 1.1× 65 0.6× 138 1.4× 36 0.7× 41 1.1× 22 277
Bela Usabaev Germany 5 142 1.2× 80 0.7× 200 2.0× 38 0.8× 28 0.7× 7 329
Monorama Swain India 7 188 1.6× 222 2.0× 135 1.3× 33 0.7× 79 2.1× 15 346

Countries citing papers authored by Rupayan Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Rupayan Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rupayan Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Rupayan Chakraborty. A scholar is included among the top collaborators of Rupayan Chakraborty 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 Rupayan Chakraborty. Rupayan Chakraborty 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.
3.
Sarangi, Sanat, et al.. (2024). Identifying Indian Cattle Behaviour Using Acoustic Biomarkers. 594–602. 1 indexed citations
4.
Chakraborty, Rupayan, et al.. (2023). Modeling of Olfactory Brainwaves for Odour Independent Biometric Identification. 1140–1144. 1 indexed citations
5.
Chakraborty, Rupayan, et al.. (2023). Tempo-Spectral EEG Biomarkers for Odour Identification. PubMed. 2023. 1–4. 1 indexed citations
6.
Chakraborty, Rupayan, et al.. (2020). Deep Encoded Linguistic and Acoustic Cues for Attention Based End to End Speech Emotion Recognition. 7189–7193. 17 indexed citations
7.
Chakraborty, Rupayan, et al.. (2019). Improving ASR Robustness to Perturbed Speech Using Cycle-consistent Generative Adversarial Networks. 52. 5726–5730. 2 indexed citations
8.
Chakraborty, Rupayan, et al.. (2018). Knowledge-Driven Feed-Forward Neural Network for Audio Affective Content Analysis.. National Conference on Artificial Intelligence. 16–20. 1 indexed citations
9.
Chakraborty, Rupayan, et al.. (2018). An Unsupervised frame Selection Technique for Robust Emotion Recognition in Noisy Speech. 2055–2059. 12 indexed citations
10.
Chakraborty, Rupayan, et al.. (2018). A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios. 2100–2106. 14 indexed citations
11.
Chakraborty, Rupayan, et al.. (2018). Sentiment Classification on Erroneous ASR Transcripts: A Multi View Learning Approach. 807–814. 7 indexed citations
12.
Chakraborty, Rupayan, et al.. (2018). Robust Front-End Processing For Emotion Recognition In Noisy Speech. 324–328. 9 indexed citations
13.
Chakraborty, Rupayan, et al.. (2017). Analyzing Emotion in Spontaneous Speech. DIAL (Catholic University of Leuven). 6 indexed citations
14.
Chakraborty, Rupayan, et al.. (2016). Mining Call Center Conversations Exhibiting Similar Affective States. Pacific Asia Conference on Language, Information, and Computation. 545–553. 4 indexed citations
15.
Chakraborty, Rupayan, et al.. (2016). Knowledge-based Framework for Intelligent Emotion Recognition in Spontaneous Speech. Procedia Computer Science. 96. 587–596. 10 indexed citations
16.
Chakraborty, Rupayan, et al.. (2015). TCS-ILAB - MediaEval 2015: Affective Impact of Movies and Violent Scene Detection. MediaEval. 12 indexed citations
17.
Chakraborty, Rupayan, et al.. (2015). Event based emotion recognition for realistic non-acted speech. 13. 1–5. 6 indexed citations
18.
Chakraborty, Rupayan & Climent Nadeu. (2014). Sound-model-based acoustic source localization using distributed microphone arrays. QRU Quaderns de Recerca en Urbanisme. 619–623. 9 indexed citations
19.
Chakraborty, Rupayan & Climent Nadeu. (2013). Joint recognition and direction-of-arrival estimation of simultaneous meeting-room acoustic events. 2948–2952. 2 indexed citations
20.
Chakraborty, Rupayan, et al.. (2012). Detection and positioning of overlapped sounds in a room environment. 1508–1511. 8 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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