Anil Kumar Vuppala

1.3k total citations
88 papers, 831 citations indexed

About

Anil Kumar Vuppala is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Anil Kumar Vuppala has authored 88 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 62 papers in Signal Processing and 26 papers in Experimental and Cognitive Psychology. Recurrent topics in Anil Kumar Vuppala's work include Speech Recognition and Synthesis (67 papers), Speech and Audio Processing (52 papers) and Music and Audio Processing (37 papers). Anil Kumar Vuppala is often cited by papers focused on Speech Recognition and Synthesis (67 papers), Speech and Audio Processing (52 papers) and Music and Audio Processing (37 papers). Anil Kumar Vuppala collaborates with scholars based in India, Norway and Finland. Anil Kumar Vuppala's co-authors include K. Sreenivasa Rao, Saswat Chakrabarti, Suryakanth V. Gangashetty, Sudarsana Reddy Kadiri, Jainath Yadav, Vinay Kumar Mittal, Dipanjan Nandi, Sudhamay Maity, Shashidhar G. Koolagudi and Brij Mohan Lal Srivastava and has published in prestigious journals such as The Journal of the Acoustical Society of America, Expert Systems with Applications and IEEE Signal Processing Letters.

In The Last Decade

Anil Kumar Vuppala

83 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anil Kumar Vuppala India 17 671 636 194 90 90 88 831
Longbiao Wang China 16 603 0.9× 623 1.0× 139 0.7× 89 1.0× 50 0.6× 62 771
Eva Navas Spain 16 692 1.0× 716 1.1× 356 1.8× 116 1.3× 74 0.8× 87 958
Suryakanth V. Gangashetty India 14 487 0.7× 476 0.7× 156 0.8× 82 0.9× 35 0.4× 93 714
Zhengyang Chen China 14 1.1k 1.7× 892 1.4× 137 0.7× 145 1.6× 39 0.4× 50 1.4k
Sanyuan Chen China 13 1.1k 1.6× 763 1.2× 136 0.7× 126 1.4× 31 0.3× 26 1.4k
Pegah Ghahremani United States 12 1.1k 1.7× 901 1.4× 136 0.7× 65 0.7× 42 0.5× 18 1.3k
Xixin Wu Hong Kong 17 705 1.1× 499 0.8× 209 1.1× 112 1.2× 98 1.1× 106 916
Daniel Erro Spain 16 766 1.1× 765 1.2× 103 0.5× 76 0.8× 66 0.7× 49 879
Bruce Denby France 15 317 0.5× 364 0.6× 101 0.5× 96 1.1× 59 0.7× 26 596
Denis Jouvet France 13 775 1.2× 627 1.0× 157 0.8× 111 1.2× 30 0.3× 87 940

Countries citing papers authored by Anil Kumar Vuppala

Since Specialization
Citations

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

Fields of papers citing papers by Anil Kumar Vuppala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anil Kumar Vuppala

This figure shows the co-authorship network connecting the top 25 collaborators of Anil Kumar Vuppala. A scholar is included among the top collaborators of Anil Kumar Vuppala 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 Anil Kumar Vuppala. Anil Kumar Vuppala 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.
Vuppala, Anil Kumar, et al.. (2025). Dysarthric Speech Intelligibility Assessment by Custom Keyword Spotting. IEEE Journal of Selected Topics in Signal Processing. 19(5). 757–766.
2.
Vuppala, Anil Kumar, et al.. (2023). Hardware Accelerator for Transformer based End-to-End Automatic Speech Recognition System. 93–100. 1 indexed citations
3.
Vuppala, Anil Kumar, et al.. (2021). Decoding self-automated and motivated finger movements using novel single-frequency filtering method – An EEG study. Biomedical Signal Processing and Control. 72. 103284–103284. 1 indexed citations
4.
Vuppala, Anil Kumar, et al.. (2020). Toward Improving the Performance of Epoch Extraction from Telephonic Speech. Circuits Systems and Signal Processing. 40(4). 2050–2064. 3 indexed citations
5.
Vuppala, Anil Kumar, et al.. (2020). Analytic phase features for dysarthric speech detection and intelligibility assessment. Speech Communication. 121. 1–15. 19 indexed citations
6.
Vuppala, Anil Kumar, et al.. (2020). Towards Emotion Independent Language Identification System. 2011. 1–5. 2 indexed citations
7.
Vuppala, Anil Kumar, et al.. (2019). Stable Implementation of Zero Frequency Filtering of Speech Signals for Efficient Epoch Extraction. IEEE Signal Processing Letters. 26(9). 1310–1314. 10 indexed citations
8.
Vuppala, Anil Kumar, et al.. (2018). Improved Language Identification Using Stacked SDC Features and Residual Neural Network. 210–214. 6 indexed citations
9.
Krishna, Hari, et al.. (2018). Incorporating Speaker Normalizing Capabilities to an End-to-End Speech Recognition System. 172–176. 1 indexed citations
10.
Vuppala, Anil Kumar, et al.. (2018). IIITH-ILSC Speech Database for Indain Language Identification. 17 indexed citations
11.
12.
Vuppala, Anil Kumar, et al.. (2017). Investigative study of various activation functions for speech recognition. 1–5. 16 indexed citations
13.
Gangashetty, Suryakanth V., et al.. (2016). Application of prosody modification for Speech Recognition in different Emotion conditions. 951–954. 6 indexed citations
14.
Mittal, Vinay Kumar & Anil Kumar Vuppala. (2016). Significance of automatic detection of vowel regions for automatic shout detection in continuous speech. 26. 1–5. 15 indexed citations
15.
Mittal, Vinay Kumar & Anil Kumar Vuppala. (2016). Changes in shout features in automatically detected vowel regions. 1–5. 10 indexed citations
16.
Vuppala, Anil Kumar, et al.. (2015). Detection of emotionally significant regions of speech for emotion recognition. 1–6. 8 indexed citations
17.
Rao, K. Sreenivasa & Anil Kumar Vuppala. (2014). Speech Processing in Mobile Environments. Springer briefs in electrical and computer engineering. 17 indexed citations
18.
Prasath, Rajendra, Anil Kumar Vuppala, & T. Kathirvalavakumar. (2013). Proceedings of the First International Conference on Mining Intelligence and Knowledge Exploration - Volume 8284. 1 indexed citations
19.
Vuppala, Anil Kumar, Jainath Yadav, Saswat Chakrabarti, & K. Sreenivasa Rao. (2012). Vowel Onset Point Detection for Low Bit Rate Coded Speech. IEEE Transactions on Audio Speech and Language Processing. 20(6). 1894–1903. 55 indexed citations
20.
Rao, K. Sreenivasa, et al.. (2010). Robust speaker recognition on mobile devices. 15. 1–5. 11 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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