S. Narayanan

633 total citations
27 papers, 451 citations indexed

About

S. Narayanan is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Narayanan has authored 27 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Narayanan's work include Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (8 papers) and Phonetics and Phonology Research (5 papers). S. Narayanan is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (8 papers) and Phonetics and Phonology Research (5 papers). S. Narayanan collaborates with scholars based in United States, India and Germany. S. Narayanan's co-authors include Sankaranarayanan Ananthakrishnan, Joseph Tepperman, C.S. Raghavendra, Murtaza Bulut, May D. Wang, Antonio Bonafonte, Harald Höge, Alan W. Black, Hermann Ney and Zhigang Deng and has published in prestigious journals such as SHILAP Revista de lepidopterología, SAE technical papers on CD-ROM/SAE technical paper series and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

S. Narayanan

25 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Narayanan United States 11 269 186 107 104 63 27 451
Petar Aleksic United States 12 280 1.0× 292 1.6× 308 2.9× 125 1.2× 12 0.2× 28 624
Michael Pucher Austria 12 409 1.5× 407 2.2× 87 0.8× 65 0.6× 20 0.3× 40 576
Mohammad Inayatullah Babar Pakistan 8 171 0.6× 217 1.2× 89 0.8× 255 2.5× 55 0.9× 19 588
Ricardo de Córdoba Spain 15 493 1.8× 233 1.3× 108 1.0× 38 0.4× 13 0.2× 88 709
Shishir Bashyal United States 5 98 0.4× 33 0.2× 166 1.6× 95 0.9× 69 1.1× 7 325
Eric Castelli France 11 203 0.8× 170 0.9× 87 0.8× 151 1.5× 28 0.4× 42 446
Mohammad Haseeb Zafar Pakistan 9 162 0.6× 215 1.2× 88 0.8× 255 2.5× 108 1.7× 43 647
Dimitri Palaz Switzerland 6 304 1.1× 280 1.5× 81 0.8× 89 0.9× 10 0.2× 13 468
Rashid Jahangir Pakistan 10 228 0.8× 233 1.3× 93 0.9× 135 1.3× 12 0.2× 24 483
Philip Kwok United States 4 238 0.9× 119 0.6× 66 0.6× 13 0.1× 22 0.3× 7 381

Countries citing papers authored by S. Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by S. Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of S. Narayanan. A scholar is included among the top collaborators of S. 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 S. Narayanan. S. 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.
Palani, Vignesh, et al.. (2025). Performance on multilayered nano-structured thermal barrier-coated compression ignition engine on green diesel. Journal of Thermal Analysis and Calorimetry. 150(12). 9521–9534. 1 indexed citations
2.
Marcum, Christopher Steven, et al.. (2024). Peer Review of “Artificial Intelligence in Healthcare: 2023 Year in Review (Preprint)”. SHILAP Revista de lepidopterología. 5. e65151–e65151.
3.
Narayanan, S., et al.. (2013). Modeling and Simulation of Lift Axle Control Valve. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations
4.
Ananthakrishnan, Sankaranarayanan & S. Narayanan. (2009). Unsupervised Adaptation of Categorical Prosody Models for Prosody Labeling and Speech Recognition. IEEE Transactions on Audio Speech and Language Processing. 17(1). 138–149. 18 indexed citations
5.
Thatte, Gautam, Ming Li, Urbashi Mitra, et al.. (2009). Energy-efficient multihypothesis activity-detection for health-monitoring applications. PubMed. 11. 4678–4681. 8 indexed citations
6.
Narayanan, S., et al.. (2009). Dynamic Simulation of a Brake Valve in Air Brake System. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
7.
Ghosh, Prasanta & S. Narayanan. (2009). Pitch Contour Stylization Using an Optimal Piecewise Polynomial Approximation. IEEE Signal Processing Letters. 16(9). 810–813. 12 indexed citations
8.
Whitacre, Jay, et al.. (2007). Hybrid Power System for High Energy Density Space Systems. 1 indexed citations
9.
Deng, Zhigang, Ulrich Neumann, John Lewis, et al.. (2006). Expressive Facial Animation Synthesis by Learning Speech Coarticulation and Expression Spaces. IEEE Transactions on Visualization and Computer Graphics. 12(6). 1523–1534. 61 indexed citations
10.
Narayanan, S. & May D. Wang. (2006). Speech Rate Estimation via Temporal Correlation and Selected Sub-Band Correlation. 1. 413–416. 22 indexed citations
11.
Whitacre, Jay, et al.. (2006). PEM Fuel Cell Cathode Catalyst Discovery via Multi-Electrode Electrochemical Screening of Thin-Film Test Structures. ECS Meeting Abstracts. MA2006-01(33). 1106–1106.
12.
Wang, May D. & S. Narayanan. (2006). An Unsupervised Quantitative Measure for Word Prominence in Spontaneous Speech. 1. 377–380. 5 indexed citations
13.
Ananthakrishnan, Sankaranarayanan & S. Narayanan. (2006). An Automatic Prosody Recognizer using a Coupled Multi-Stream Acoustic Model and a Syntactic-Prosodic Language Model. 1. 269–272. 39 indexed citations
14.
Chu, Selina, S. Narayanan, & C.‐C. Jay Kuo. (2006). Efficient Rotation Invariant Retrieval of Shapes with Applications in Medical Databases. 673–678. 2 indexed citations
15.
Tepperman, Joseph & S. Narayanan. (2006). Automatic Syllable Stress Detection Using Prosodic Features for Pronunciation Evaluation of Language Learners. 1. 937–940. 53 indexed citations
16.
Johnson, W. Lewis, et al.. (2004). Limited domain synthesis of expressive military speech for animated characters. 163–166. 26 indexed citations
17.
Narayanan, S., et al.. (2003). Collaborative classification applications in sensor networks. 370–374. 68 indexed citations
18.
Valdez, T. I., S. Narayanan, & N. Rohatgi. (1999). Testing of a Five-Cell Liquid-Feed Direct Methanol Fuel Cell Stack for a 150-Watt System. NASA Technical Reports Server (NASA). 1 indexed citations
19.
Narayanan, S., T. I. Valdez, N. Rohatgi, et al.. (1998). Factors Affecting the Design of Direct Methanol Fuel Cell Systems. NASA Technical Reports Server (NASA). 6 indexed citations
20.
Narayanan, S., T. I. Valdez, S. Surampudi, et al.. (1996). Low Crossover Polymer Electrolyte Membranes for Direct Methanol Fuel Cells. NASA Technical Reports Server (NASA). 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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