Sunil Kumar Kopparapu

1.6k total citations
107 papers, 955 citations indexed

About

Sunil Kumar Kopparapu is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Sunil Kumar Kopparapu has authored 107 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Signal Processing, 61 papers in Artificial Intelligence and 22 papers in Experimental and Cognitive Psychology. Recurrent topics in Sunil Kumar Kopparapu's work include Speech and Audio Processing (44 papers), Speech Recognition and Synthesis (44 papers) and Music and Audio Processing (36 papers). Sunil Kumar Kopparapu is often cited by papers focused on Speech and Audio Processing (44 papers), Speech Recognition and Synthesis (44 papers) and Music and Audio Processing (36 papers). Sunil Kumar Kopparapu collaborates with scholars based in India, United States and Australia. Sunil Kumar Kopparapu's co-authors include Rupayan Chakraborty, Chitralekha Bhat, Narendra D. Londhe, Peter Corke, Ayush Tripathi, Uday B. Desai, Imran Ahmed, V. L. Lajish, Meet Soni and Arijit De and has published in prestigious journals such as IEEE Access, Pattern Recognition and Image and Vision Computing.

In The Last Decade

Sunil Kumar Kopparapu

98 papers receiving 883 citations

Peers

Sunil Kumar Kopparapu

AI

SP

ECP

CVPR

PHYSI

Vikramjit Mitra United States

Sid‐Ahmed Selouani Canada

K. Sri Rama Murty India

Raj Reddy United States

Doroteo T. Toledano Spain

Anastasis Kounoudes Greece

Fernando Díaz-de-María Spain

Θεόδωρος Γιαννακόπουλος Greece

Olcay Kurşun Türkiye

Korbinian Riedhammer Germany

Vikramjit Mitra United States

Sunil Kumar Kopparapu

917 ×1.9

AI

778 ×1.9

SP

380 ×1.6

ECP

128 ×0.7

CVPR

43 ×0.2

PHYSI

Citations per year, relative to Sunil Kumar Kopparapu Sunil Kumar Kopparapu (= 1×) peers Vikramjit Mitra

Countries citing papers authored by Sunil Kumar Kopparapu

Since Specialization

Citations

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

Fields of papers citing papers by Sunil Kumar Kopparapu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil Kumar Kopparapu. 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 Sunil Kumar Kopparapu. The network helps show where Sunil Kumar Kopparapu may publish in the future.

Co-authorship network of co-authors of Sunil Kumar Kopparapu

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

All Works

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20 of 20 papers shown

1.

Chakraborty, Rupayan, et al.. (2024). Joint Class Learning with Self Similarity Projection for EEG Emotion Recognition. 207–211.

2.

Kopparapu, Sunil Kumar, et al.. (2024). Unified Spoken Language Proficiency Assessment System. 1–6.

3.

Chakraborty, Rupayan, et al.. (2023). Modeling of Olfactory Brainwaves for Odour Independent Biometric Identification. 1140–1144. 1 indexed citations

4.

Chakraborty, Rupayan, et al.. (2023). Tempo-Spectral EEG Biomarkers for Odour Identification. PubMed. 2023. 1–4. 1 indexed citations

5.

Kopparapu, Sunil Kumar, et al.. (2021). A GMM supervector approach for spoken Indian language identification for mismatch utterance length. Bulletin of Electrical Engineering and Informatics. 10(2). 1114–1121. 2 indexed citations

6.

Kopparapu, Sunil Kumar, et al.. (2021). Feature selection for improving Indian spoken language identification in utterance duration mismatch condition. Bulletin of Electrical Engineering and Informatics. 10(5). 2578–2587. 1 indexed citations

7.

Tripathi, Ayush & Sunil Kumar Kopparapu. (2020). CNN based Parkinson's Disease Assessment using Empirical Mode Decomposition.. 8 indexed citations

8.

Londhe, Narendra D., et al.. (2018). Performance Evaluation of Fingerprint Dynamics in Machine Learning and Score Level Fusion Framework. IETE Technical Review. 36(2). 178–189. 4 indexed citations

9.

Bhat, Chitralekha, et al.. (2018). Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition. 471–475. 72 indexed citations

10.

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

11.

Londhe, Narendra D., et al.. (2016). A Novel Behavioural Biometric Technique for Robust User Authentication. IETE Technical Review. 34(5). 478–490. 12 indexed citations

12.

Kopparapu, Sunil Kumar, et al.. (2016). Repairing general-purpose ASR output to improve accuracy of spoken sentences in specific domains using artificial development approach. International Joint Conference on Artificial Intelligence. 4234–4235. 2 indexed citations

13.

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

14.

Kopparapu, Sunil Kumar & Arijit De. (2016). Automatic ranking of essays using structural and semantic features. 519–523. 4 indexed citations

15.

Chakraborty, Rupayan, et al.. (2015). TCS-ILAB - MediaEval 2015: Affective Impact of Movies and Violent Scene Detection. MediaEval. 12 indexed citations

16.

Kopparapu, Sunil Kumar, et al.. (2015). Improving ASR Recognized Speech Output for Effective Natural Language Processing. 17–21.

17.

Kopparapu, Sunil Kumar, et al.. (2012). Mixed Language Speech Recognition without Explicit Identification of Language. 2(5). 92–97. 19 indexed citations

18.

De, Arijit & Sunil Kumar Kopparapu. (2011). An unsupervised approach to automated selection of good essays. 662–666. 5 indexed citations

19.

Ghosh, Hiranmay, et al.. (2010). Multimodal Indexing of Multilingual News Video. International Journal of Digital Multimedia Broadcasting. 2010. 1–18. 9 indexed citations

20.

Kopparapu, Sunil Kumar & Peter Corke. (1998). The Effect of Measurement Noise on Camera Calibration Matrix.. 1–10. 1 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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