2026 William M. Campbell: 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	38	10055	9770	4237	4062	129	8359

Overview

William M. Campbell is affiliated with Amazon in the United States. Their research work primarily revolves around the field of Physics and Astronomy, with notable contributions spanning 27 publications in this area.

Their research subfields include:

Atomic and Molecular Physics, and Optics
Biomedical Engineering
Astronomy and Astrophysics
Artificial Intelligence
Materials Chemistry

Main topics covered in their scientific work consist of:

Acoustic Wave Resonator Technologies
Dark Matter and Cosmic Phenomena
Atomic and Subatomic Physics Research
Cold Atom Physics and Bose-Einstein Condensates
Quantum, superfluid, helium dynamics
Mechanical and Optical Resonators
Photorefractive and Nonlinear Optics

Campbell's recent published papers include the following:

"Searching for Scalar Dark Matter via Coupling to Fundamental Constants with Photonic, Atomic, and Mechanical Oscillators" (2021) in Physical Review Letters
"Rare Events Detected with a Bulk Acoustic Wave High Frequency Gravitational Wave Antenna" (2021) in Physical Review Letters
"Comparing Instrument Spectral Sensitivity of Dissimilar Electromagnetic Haloscopes to Axion Dark Matter and High Frequency Gravitational Waves" (2022) in Symmetry
"The multi-mode acoustic gravitational wave experiment: MAGE" (2023) in Scientific Reports
"Improved constraints on minimum length models with a macroscopic low loss phonon cavity" (2023) in Physical Review D

Their frequent coauthors include:

Maxim Goryachev
Michael E. Tobar
E.N. Ivanov
Serge Galliou
Jeremy Bourhill

Campbell's work has been published predominantly in:

arXiv (Cornell University)
Physical Review Letters
Scientific Reports
Symmetry
Physical Review D

Best Publications

Support vector machines using GMM supervectors for speaker verification

W.M. Campbell;D.E. Sturim;D.A. Reynolds

1519
Citations
SVM Based Speaker Verification using a GMM Supervector Kernel and NAP Variability Compensation

W.M. Campbell;D.E. Sturim;D.A. Reynolds;A. Solomonoff

826
Citations
Support vector machines for speaker and language recognition

William M. Campbell;Joseph P. Campbell;Douglas A. Reynolds;Elliot Singer

734
Citations
Support vector machines for speaker verification and identification

V. Wan;W.M. Campbell

415
Citations
Advances in channel compensation for SVM speaker recognition

A. Solomonoff;W.M. Campbell;I. Boardman

349
Citations
Acoustic, phonetic, and discriminative approaches to automatic language identification.

Elliot Singer;Pedro A. Torres-Carrasquillo;Terry P. Gleason;William M. Campbell

261
Citations
Forensic speaker recognition

J.P. Campbell;W. Shen;W.M. Campbell;R. Schwartz

231
Citations
Phonetic Speaker Recognition with Support Vector Machines

William M. Campbell;Joseph P. Campbell;Douglas A. Reynolds;Douglas A. Jones

213
Citations
Channel compensation for SVM speaker recognition.

Alex Solomonoff;Carl Quillen;William M. Campbell

212
Citations
Speaker recognition with polynomial classifiers

W.M. Campbell;K.T. Assaleh;C.C. Broun

192
Citations
Mutual Information in Learning Feature Transformations

Kari Torkkola;William M. Campbell

188
Citations
Forensic speaker recognition

Unknown

167
Citations
Communication unit having spectral adaptability

John Eric Kleider;Jeffrey Scott Chuprun;William Michael Campbell;Chad Scott Bergstrom

161
Citations
Language recognition with support vector machines.

William M. Campbell;Elliot Singer;Pedro A. Torres-Carrasquillo;Douglas A. Reynolds

153
Citations
Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction

Kevin Brady;Youngjune Gwon;Pooya Khorrami;Elizabeth Godoy

127
Citations
Method and apparatus for adaptive rate communication system

John Eric Kleider;Clifford Allan Wood;William Michael Campbell

126
Citations
Speaker Verification Using Support Vector Machines and High-Level Features

W.M. Campbell;J.P. Campbell;T.P. Gleason;D.A. Reynolds

121
Citations
High-level speaker verification with support vector machines

W.M. Campbell;J.R. Campbell;D.A. Reynolds;D.A. Jones

115
Citations
Exploiting Nonacoustic Sensors for Speech Encoding

T.F. Quatieri;K. Brady;D. Messing;J.P. Campbell

105
Citations
Social Network Analysis with Content and Graphs

William M. Campbell;Charlie K. Dagli;Clifford J. Weinstein

101
Citations
Generalized linear discriminant sequence kernels for speaker recognition

William M. Campbell

15
Citations

Frequent Co-Authors

Douglas A. Reynolds MIT

Joseph P. Campbell MIT

Najim Dehak Johns Hopkins University

Thomas F. Quatieri MIT

Alan V. McCree Johns Hopkins University

H. T. Kung Harvard University

Jean-François Bonastre University of Avignon

David Pearce Northumbria University

Huan Liu Arizona State University

Alan V. Oppenheim MIT

External Links

Google Scholar page

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