Arun Narayanan

4.0k total citations · 2 hit papers
69 papers, 2.4k citations indexed

About

Arun Narayanan is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Arun Narayanan has authored 69 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Signal Processing, 43 papers in Artificial Intelligence and 10 papers in Computational Mechanics. Recurrent topics in Arun Narayanan's work include Speech and Audio Processing (42 papers), Speech Recognition and Synthesis (39 papers) and Music and Audio Processing (27 papers). Arun Narayanan is often cited by papers focused on Speech and Audio Processing (42 papers), Speech Recognition and Synthesis (39 papers) and Music and Audio Processing (27 papers). Arun Narayanan collaborates with scholars based in United States, India and Germany. Arun Narayanan's co-authors include DeLiang Wang, Yuxuan Wang, Tara N. Sainath, Michiel Bacchiani, Ananya Misra, K. K. Chin, Kevin Wilson, Ron J. Weiss, Izhak Shafran and Ehsan Variani and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The Journal of the Acoustical Society of America.

In The Last Decade

Arun Narayanan

60 papers receiving 2.2k citations

Hit Papers

On Training Targets for Supervised Speech Separation 2013 2026 2017 2021 2014 2013 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. On Training Targets for Supervised Speech Separation
    2014 784 citations Arun Narayanan, DeLiang Wang et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →
  2. Ideal ratio mask estimation using deep neural networks for robust speech recognition
    2013 359 citations Arun Narayanan, DeLiang Wang profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arun Narayanan United States 19 2.1k 1.6k 640 361 98 69 2.4k
Yi Luo China 16 2.4k 1.1× 1.6k 1.0× 538 0.8× 323 0.9× 156 1.6× 70 2.7k
Zhong-Qiu Wang United States 26 1.9k 0.9× 1.2k 0.7× 596 0.9× 270 0.7× 85 0.9× 68 2.1k
Jitong Chen United States 14 1.7k 0.8× 924 0.6× 649 1.0× 506 1.4× 137 1.4× 21 1.9k
Marc Delcroix Japan 33 3.5k 1.7× 2.6k 1.6× 1.0k 1.6× 376 1.0× 170 1.7× 206 3.9k
Chengshi Zheng China 18 1.1k 0.5× 536 0.3× 592 0.9× 314 0.9× 113 1.2× 133 1.3k
Andrew Varga United Kingdom 6 1.8k 0.9× 953 0.6× 704 1.1× 320 0.9× 151 1.5× 7 1.9k
Ashutosh Pandey United States 14 908 0.4× 603 0.4× 387 0.6× 178 0.5× 60 0.6× 43 1.1k
Ke Tan United States 16 1.2k 0.6× 669 0.4× 569 0.9× 257 0.7× 68 0.7× 31 1.3k
Kun Han China 15 999 0.5× 708 0.5× 213 0.3× 212 0.6× 215 2.2× 35 1.4k
Hans‐Günter Hirsch Germany 10 1.7k 0.8× 1.3k 0.8× 382 0.6× 156 0.4× 218 2.2× 21 1.8k

Countries citing papers authored by Arun Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Arun Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Narayanan. A scholar is included among the top collaborators of Arun Narayanan 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 Arun Narayanan. Arun Narayanan 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.
Abdelfattah, Omar, et al.. (2025). Global and Temporal Trends in Utilization and Outcomes of Implantable Cardioverter Defibrillators in Hypertrophic Cardiomyopathy. Circulation Arrhythmia and Electrophysiology. 18(2). e013479–e013479.
2.
Narayanan, Arun, et al.. (2025). An Antiquated Concept in the Novel Era of Ablation: Zero-fluoroscopy Pulsed Field Ablation for Treatment of Atrial Fibrillation. Journal of Innovations in Cardiac Rhythm Management. 16(5). 6268–6270.
3.
4.
Brooker, Marc, et al.. (2024). Resource Management in Aurora Serverless. Proceedings of the VLDB Endowment. 17(12). 4038–4050. 1 indexed citations
5.
Narayanan, Arun, et al.. (2024). Solar Panel and Battery Maintenance Using IoT. 909–914. 1 indexed citations
6.
Narayanan, Arun, et al.. (2024). Atrial Fibrillation Complicating Acute Myocardial Infarction: Prevalence, Impact, and Management Considerations. Current Cardiology Reports. 26(5). 313–323. 4 indexed citations
7.
Shejwalkar, Virat, Om Thakkar, & Arun Narayanan. (2024). Quantifying Unintended Memorization in BEST-RQ ASR Encoders. 2905–2909. 1 indexed citations
8.
Panchapagesan, Sankaran, et al.. (2023). On Training a Neural Residual Acoustic Echo Suppressor for Improved ASR. 4019–4023. 1 indexed citations
9.
Ding, Shaojin, et al.. (2022). Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition. Interspeech 2022. 3744–3748. 19 indexed citations
10.
Koizumi, Yuma, Shigeki Karita, Arun Narayanan, Sankaran Panchapagesan, & Michiel Bacchiani. (2022). SNRi Target Training for Joint Speech Enhancement and Recognition. Interspeech 2022. 7 indexed citations
11.
Panchapagesan, Sankaran, Arun Narayanan, N. T. Howard, et al.. (2022). A Conformer-based Waveform-domain Neural Acoustic Echo Canceller Optimized for ASR Accuracy. Interspeech 2022. 2538–2542. 2 indexed citations
12.
Narayanan, Arun, Ann C. Garlitski, Christopher Madias, & Munther K. Homoud. (2022). INNOCENT BYSTANDER OR DANGEROUS MIMICKER: THE FASCICULOVENTRICULAR ACCESSORY PATHWAY. Journal of the American College of Cardiology. 79(9). 2536–2536.
13.
Narayanan, Arun, et al.. (2020). Computed tomographic study of remarkable anatomic variations in paranasal sinus region and their clinical importance - A retrospective study. Annals of Maxillofacial Surgery. 10(2). 422–422. 9 indexed citations
14.
Narayanan, Arun, et al.. (2020). INFECTIVE ENDOCARDITIS PRESENTING AS COMPLETE HEART BLOCK. Journal of the American College of Cardiology. 75(11). 2605–2605.
15.
Brener, Sorin J., et al.. (2018). The SYNTAX II Score Predicts Mortality at 4 Years in Patients Undergoing Percutaneous Coronary Intervention.. PubMed. 30(8). 290–294. 6 indexed citations
16.
Narayanan, Arun, et al.. (2017). Construction Equipment’s Bucket Design Based on Soil-Tool Interaction-Analytical and DEM Approach. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
17.
Shafran, Izhak, et al.. (2017). Adaptive Multichannel Dereverberation for Automatic Speech Recognition. 3877–3881. 20 indexed citations
18.
Narayanan, Arun, Ananya Misra, & K. K. Chin. (2015). Large-scale, sequence-discriminative, joint adaptive training for masking-based robust ASR. 3571–3575. 2 indexed citations
19.
Narayanan, Arun & DeLiang Wang. (2014). Improving robustness of deep neural network acoustic models via speech separation and joint adaptive training. IEEE/ACM Transactions on Audio Speech and Language Processing. 23(1). 1–1. 45 indexed citations
20.
Basu, Prithwish, Arun Narayanan, Ke Wang, & Thomas D. C. Little. (2003). Optimal scheduling of secondary content for aggregation in video-on-demand systems. 6. 104–109. 5 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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