2026 Richard M. Stern: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	53	4864	4729	2266	2187	253	10298

Richard M. Stern publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Richard M. Stern sits on this spectrum.

32 publications 991+

This scientist: 253 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Richard M. Stern D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Richard M. Stern sits on this spectrum.

30 D-Index 131+

This scientist: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Richard M. Stern is affiliated with Carnegie Mellon University in the United States. Their research spans primarily the field of Computer Science, with a significant focus on signal processing and artificial intelligence. Additional subfields include geophysics, electrical and electronic engineering, and computational mechanics.

The main topics of their work cover speech and audio processing, speech recognition and synthesis, and music and audio processing. Their research also involves advanced adaptive filtering techniques, indoor and outdoor localization technologies, hearing loss and rehabilitation, and the study of random lasers and scattering media.

Richard M. Stern has contributed to several recent publications, including:

"Speedy light focusing through scattering media by a cooperatively FPGA-parameterized genetic algorithm" (2022), published in Optics Express
"A unified beamforming and source separation model for static and dynamic human-robot interaction" (2024), published in JASA Express Letters
"Improved Modulation-Domain Loss for Neural-Network-based Speech Enhancement" (2022), published in Interspeech 2022
"Discovery of a giant juvenile 3.3-3.1 Ga terrane in the Rae craton, Canada" (2022), published in Goldschmidt2022 abstracts
"Non causal deep learning based dereverberation" (2020), published in arXiv (Cornell University)

The frequent publication venues include:

arXiv (Cornell University)
Goldschmidt2022 abstracts
Sensors
Geostandards and Geoanalytical Research
Optics Express

Collaborations form an important aspect of their research. Frequent coauthors are:

Néstor Becerra Yoma
Jorge Wuth
Rodrigo Mahú
Tyler Vuong
Alejandro Luzanto

Best Publications

An approach to cardiac arrhythmia analysis using hidden Markov models

D.A. Coast;R.M. Stern;G.G. Cano;S.A. Briller

648
Citations
A vector Taylor series approach for environment-independent speech recognition

P.J. Moreno;B. Raj;R.M. Stern

626
Citations
Power-normalized cepstral coefficients (PNCC) for robust speech recognition

Chanwoo Kim;Richard M. Stern

623
Citations
Environmental robustness in automatic speech recognition

A. Acero;R.M. Stern

443
Citations
Reconstruction of missing features for robust speech recognition

Bhiksha Raj;Michael L. Seltzer;Richard M. Stern

287
Citations
Missing-feature approaches in speech recognition

B. Raj;R.M. Stern

286
Citations
Multiple approaches to robust speech recognition.

Richard M. Stern;Fu-Hua Liu;Yoshiaki Ohshima;Thomas M. Sullivan

274
Citations
Power-Normalized Cepstral Coefficients (PNCC) for robust speech recognition

Chanwoo Kim;Richard M. Stern

245
Citations
Theory of binaural interaction based on auditory‐nerve data. IV. A model for subjective lateral position

Richard M. Stern;H. Steven Colburn

230
Citations
Lateralization of complex binaural stimuli: A weighted‐image model

Richard M. Stern;Andrew S. Zeiberg;Constantine Trahiotis

228
Citations
Efficient cepstral normalization for robust speech recognition

Fu-Hua Liu;Richard M. Stern;Xuedong Huang;Alejandro Acero

227
Citations
A Bayesian Classifier for Spectrographic Mask Estimation for Missing Feature Speech Recognition

Michael L. Seltzer;Bhiksha Raj;Richard M. Stern

217
Citations
Robust speech recognition by normalization of the acoustic space

A. Acero;R.M. Stern

216
Citations
Robust signal-to-noise ratio estimation based on waveform amplitude distribution analysis.

Chanwoo Kim;Richard M. Stern

198
Citations
Efficient joint compensation of speech for the effects of additive noise and linear filtering

F.-H. Liu;A. Acero;R.M. Stern

196
Citations
Fast Computation of the Difference of Low-Pass Transform

James L. Crowley;Richard M. Stern

193
Citations
Likelihood-maximizing beamforming for robust hands-free speech recognition

M.L. Seltzer;B. Raj;R.M. Stern

191
Citations
On the effects of speech rate in large vocabulary speech recognition systems

M.A. Siegler;R.M. Stern

155
Citations
Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power flooring

Chanwoo Kim;Richard M. Stern

144
Citations
Delta-spectral cepstral coefficients for robust speech recognition

Kshitiz Kumar;Chanwoo Kim;Richard M. Stern

136
Citations

Frequent Co-Authors

Bhiksha Raj Carnegie Mellon University

Pedro J. Moreno Google (United States)

Michael L. Seltzer Facebook (United States)

Alejandro Acero Apple (United States)

Alexander G. Hauptmann Carnegie Mellon University

Florian Metze Carnegie Mellon University

Teruko Mitamura Carnegie Mellon University

Constantine Trahiotis University of Connecticut Health Center

Eric Nyberg Carnegie Mellon University

H. Steven Colburn Boston University

External Links

Personal website of Richard M. Stern Google Scholar page

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