2026 Philipos C. Loizou: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	National Ranking	Publications	Citations
Computer Science	63	2702	1340	205	21142

Discipline name

D-Index

World Ranking

National Ranking

Publications

Citations

Computer Science

2702

1340

205

21142

Overview

Philipos C. Loizou was affiliated with The University of Texas at Dallas in the United States. The record indicates that they are deceased.

No recent papers, co-authors, publication venues, or book publications are available from the data provided. Similarly, no information on main fields of study, subfields, or main topics of work was documented.

Best Publications

Speech Enhancement: Theory and Practice

Philipos C. Loizou

3097
Citations
Evaluation of Objective Quality Measures for Speech Enhancement

Yi Hu;P.C. Loizou

2166
Citations
A multi-band spectral subtraction method for enhancing speech corrupted by colored noise

Sunil Kamath;Philipos Loizou

718
Citations
Development and validation of the AzBio sentence lists.

Anthony J. Spahr;Michael F. Dorman;Leonid M. Litvak;Susan Van Wie

654
Citations
Subjective comparison and evaluation of speech enhancement algorithms

Yi Hu;Philipos C. Loizou

654
Citations
Objective measures for predicting speech intelligibility in noisy conditions based on new band-importance functions.

Jianfen Ma;Yi Hu;Philipos C. Loizou

560
Citations
A noise-estimation algorithm for highly non-stationary environments

Sundarrajan Rangachari;Philipos C. Loizou

551
Citations
Speech intelligibility as a function of the number of channels of stimulation for signal processors using sine-wave and noise-band outputs

Michael F. Dorman;Philipos C. Loizou;Dawne Rainey

546
Citations
Mimicking the human ear

P.C. Loizou

545
Citations
A generalized subspace approach for enhancing speech corrupted by colored noise

Yi Hu;P.C. Loizou

509
Citations
Speech Enhancement: Theory and Practice, Second Edition

Unknown

411
Citations
An algorithm that improves speech intelligibility in noise for normal-hearing listeners.

Gibak Kim;Yang Lu;Yi Hu;Philipos C. Loizou

396
Citations
Speech enhancement based on perceptually motivated bayesian estimators of the magnitude spectrum

P.C. Loizou

344
Citations
Reasons why Current Speech-Enhancement Algorithms do not Improve Speech Intelligibility and Suggested Solutions

Philipos C Loizou;Gibak Kim

338
Citations
Speech enhancement based on wavelet thresholding the multitaper spectrum

Yi Hu;P.C. Loizou

336
Citations
A comparative intelligibility study of single-microphone noise reduction algorithms.

Yi Hu;Philipos C. Loizou

333
Citations
Subjective Comparison of Speech Enhancement Algorithms

Yi Hu;P.C. Loizou

308
Citations
Factors influencing intelligibility of ideal binary-masked speech: Implications for noise reduction

Ning Li;Philipos C. Loizou

307
Citations
Speech processing in vocoder-centric cochlear implants

Philipos C. Loizou

304
Citations
On the number of channels needed to understand speech

Philipos C. Loizou;Michael Dorman;Zhemin Tu

295
Citations
The recognition of sentences in noise by normal-hearing listeners using simulations of cochlear-implant signal processors with 6–20 channels

Michael F. Dorman;Philipos C. Loizou;Jeanette Fitzke;Zhemin Tu

287
Citations
A geometric approach to spectral subtraction

Yang Lu;Philipos C. Loizou

257
Citations

Frequent Co-Authors

Andreas Spanias Arizona State University

Nasser Kehtarnavaz The University of Texas at Dallas

Tiago H. Falk Institut National de la Recherche Scientifique

Robert V. Shannon University of Southern California

Anu Sharma University of Colorado Boulder

Sharon Gannot Bar-Ilan University

Junfeng Li Chinese Academy of Sciences

Kuldip K. Paliwal Griffith University

Juan Manuel Górriz University of Granada

Kazuya Takeda Nagoya University

External Links

Google Scholar page

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