Neeraj Kumar Sharma

613 total citations · 1 hit paper
23 papers, 369 citations indexed

About

Neeraj Kumar Sharma is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Neeraj Kumar Sharma has authored 23 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 7 papers in Artificial Intelligence and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Neeraj Kumar Sharma's work include Speech and Audio Processing (8 papers), Music and Audio Processing (5 papers) and Speech Recognition and Synthesis (4 papers). Neeraj Kumar Sharma is often cited by papers focused on Speech and Audio Processing (8 papers), Music and Audio Processing (5 papers) and Speech Recognition and Synthesis (4 papers). Neeraj Kumar Sharma collaborates with scholars based in India, United States and Germany. Neeraj Kumar Sharma's co-authors include Sriram Ganapathy, Srikanth Raj Chetupalli, Prashant Krishnan, Prasanta Ghosh, Shreyas Ramoji, R. Nirmala, Rohit Kumar, T.V. Sreenivas, Kamal Gulati and George Thomas Kurian and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Signal Processing.

In The Last Decade

Neeraj Kumar Sharma

22 papers receiving 355 citations

Hit Papers

Coswara — A Database of B... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neeraj Kumar Sharma India 9 163 140 133 121 39 23 369
Srikanth Raj Chetupalli India 7 172 1.1× 172 1.2× 141 1.1× 124 1.0× 20 0.5× 29 343
Jordi Laguarta United States 2 194 1.2× 96 0.7× 153 1.2× 91 0.8× 21 0.5× 3 355
Andreas Grammenos United Kingdom 8 79 0.5× 99 0.7× 65 0.5× 84 0.7× 35 0.9× 18 277
Ting Dang Australia 10 49 0.3× 151 1.1× 47 0.4× 133 1.1× 53 1.4× 43 361
Himadri Mukherjee India 12 202 1.2× 136 1.0× 76 0.6× 315 2.6× 134 3.4× 49 643
Antonio Miguel Spain 16 47 0.3× 469 3.4× 19 0.1× 495 4.1× 70 1.8× 90 752
S. R. Nirmala India 10 114 0.7× 39 0.3× 13 0.1× 36 0.3× 80 2.1× 55 255
Lorenzo Gerosa Italy 8 19 0.1× 279 2.0× 45 0.3× 130 1.1× 111 2.8× 10 482
Ayush Tripathi India 10 67 0.4× 32 0.2× 18 0.1× 99 0.8× 31 0.8× 35 306
Dianwen Ng Singapore 8 85 0.5× 55 0.4× 26 0.2× 151 1.2× 33 0.8× 23 258

Countries citing papers authored by Neeraj Kumar Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Neeraj Kumar Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeraj Kumar Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Kumar Sharma. A scholar is included among the top collaborators of Neeraj Kumar Sharma 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 Neeraj Kumar Sharma. Neeraj Kumar Sharma 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
2.
Sharma, Neeraj Kumar, et al.. (2023). Two congruent cues are better than one: Impact of ITD–ILD combinations on reaction time for sound lateralization. SHILAP Revista de lepidopterología. 3(5). 1 indexed citations
3.
Chetupalli, Srikanth Raj, Prashant Krishnan, Neeraj Kumar Sharma, et al.. (2023). Multi-Modal Point-of-Care Diagnostics for COVID-19 Based on Acoustics and Symptoms. IEEE Journal of Translational Engineering in Health and Medicine. 11. 199–210. 14 indexed citations
4.
Sharma, Neeraj Kumar, et al.. (2022). Towards sound based testing of COVID-19�Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge. ePrints@IISc (Indian Institute of Science). 5 indexed citations
5.
Sharma, Neeraj Kumar, et al.. (2022). The Second Dicova Challenge: Dataset and Performance Analysis for Diagnosis of Covid-19 Using Acoustics. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 556–560. 16 indexed citations
6.
Sharma, Neeraj Kumar, et al.. (2022). Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals. Interspeech 2022. 2473–2477. 4 indexed citations
7.
Sharma, Neeraj Kumar, et al.. (2021). Review on Reinforcement Learning, Research Evolution and Scope of Application. 1416–1423. 33 indexed citations
8.
Sharma, Neeraj Kumar, Prashant Krishnan, Rohit Kumar, et al.. (2020). Coswara — A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis. arXiv (Cornell University). 4811–4815. 211 indexed citations breakdown →
9.
Sharma, Neeraj Kumar, et al.. (2020). A Novel Communication System For Deaf And Dumb People using gesture. SHILAP Revista de lepidopterología. 32. 2003–2003. 4 indexed citations
10.
Sharma, Neeraj Kumar, et al.. (2019). Analyzing Human Reaction Time for Talker Change Detection. 7135–7139. 1 indexed citations
11.
Sharma, Neeraj Kumar, et al.. (2019). Talker change detection: A comparison of human and machine performance. The Journal of the Acoustical Society of America. 145(1). 131–142. 9 indexed citations
12.
Sharma, Neeraj Kumar & T.V. Sreenivas. (2018). Time-varying sinusoidal demodulation for non-stationary modeling of speech. Speech Communication. 105. 77–91. 1 indexed citations
13.
Sharma, Neeraj Kumar, et al.. (2018). Leveraging LSTM Models for Overlap Detection in Multi-Party Meetings. 5249–5253. 14 indexed citations
14.
Sharma, Neeraj Kumar, et al.. (2017). Mel-scale sub-band modelling for perceptually improved time-scale modification of speech and audio signals. ePrints@IISc (Indian Institute of Science). 93. 1–5. 5 indexed citations
15.
Sharma, Neeraj Kumar & T.V. Sreenivas. (2015). Event-triggered sampling using signal extrema for instantaneous amplitude and instantaneous frequency estimation. Signal Processing. 116. 43–54. 10 indexed citations
16.
Sharma, Neeraj Kumar. (2015). Time-instant sampling based encoding of time-varying acoustic spectrum. AIP conference proceedings. 1703. 100003–100003. 1 indexed citations
17.
Sharma, Neeraj Kumar, et al.. (2015). Moving sound source parameter estimation using a single microphone and signal extrema samples. 454. 2329–2333. 3 indexed citations
18.
Sharma, Neeraj Kumar & T.V. Sreenivas. (2014). Event-triggered sampling and reconstruction of sparse real-valued trigonometric polynomials. 74. 1–6. 3 indexed citations
19.
Sharma, Neeraj Kumar & T.V. Sreenivas. (2012). Sparse signal reconstruction based on signal dependent non-uniform samples. 89. 3453–3456. 9 indexed citations
20.
Kurian, George Thomas, et al.. (1989). Left-Arm Dominance in Active Positioning. Perceptual and Motor Skills. 68(3_suppl). 1312–1314. 16 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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