2026 Alan C. Bovik: 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	123	122	117	72	69	915	170525

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2023 - Research.com Computer Science in United States Leader Award
2022 - Research.com Computer Science in United States Leader Award
2019 - IEEE Fourier Award for Signal Processing “For seminal contributions and high-impact innovations to the theory and application of perception-based image and video processing.”
2008 - SPIE Fellow
2007 - OSA Fellows For fundamental research contributions to and technical leadership in digital image and video processing.

Overview

Alan C. Bovik is affiliated with The University of Texas at Austin in the United States. Their primary field of study is Computer Science, with a specialization in several subfields including Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Cardiology and Cardiovascular Medicine, and Computational Mechanics.

The research topics covered by Alan C. Bovik include:

Image and Video Quality Assessment
Advanced Image Processing Techniques
Image Enhancement Techniques
Visual Attention and Saliency Detection
Video Coding and Compression Technologies
Advanced Image Fusion Techniques
Advanced Vision and Imaging

Recent publications by the scientist illustrate their ongoing contributions to these fields. These papers include:

MAXIM: Multi-Axis MLP for Image Processing, 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Study of Subjective and Objective Quality Assessment of Audio-Visual Signals, 2020, published in IEEE Transactions on Image Processing
Image Quality Assessment Using Contrastive Learning, 2022, published in IEEE Transactions on Image Processing
Day and Night-Time Dehazing by Local Airlight Estimation, 2020, published in IEEE Transactions on Image Processing
Dynamic Receptive Field Generation for Full-Reference Image Quality Assessment, 2020, published in IEEE Transactions on Image Processing

The most frequent publication venues for their work include:

arXiv (Cornell University)
IEEE Transactions on Image Processing
Signal Processing Image Communication
IEEE Signal Processing Letters
IEEE Access

Collaborations have been a significant aspect of Alan C. Bovik's research activities. Frequent co-authors include:

Zhengzhong Tu
Balu Adsumilli
Zaixi Shang
Yilin Wang
Abhinau K. Venkataramanan

Throughout their career, Alan C. Bovik has received various awards related to their work in digital image and video processing. These awards include:

IEEE Fourier Award for Signal Processing, 2019, for contributions to perception-based image and video processing
SPIE Fellow, 2008
OSA Fellow, 2007, for fundamental research in digital image and video processing

Best Publications

Image quality assessment: from error visibility to structural similarity

Zhou Wang;A.C. Bovik;H.R. Sheikh;E.P. Simoncelli

60569
Citations
Image information and visual quality

H.R. Sheikh;A.C. Bovik

7483
Citations
A universal image quality index

Zhou Wang;A.C. Bovik

7435
Citations
Multiscale structural similarity for image quality assessment

Z. Wang;E.P. Simoncelli;A.C. Bovik

7011
Citations
Making a “Completely Blind” Image Quality Analyzer

A. Mittal;R. Soundararajan;A. C. Bovik

6162
Citations
No-Reference Image Quality Assessment in the Spatial Domain

A. Mittal;A. K. Moorthy;A. C. Bovik

5836
Citations
Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures

Zhou Wang;A.C. Bovik

3905
Citations
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms

H.R. Sheikh;M.F. Sabir;A.C. Bovik

3455
Citations
Handbook of Image and Video Processing

Alan C. Bovik

2874
Citations
Multichannel texture analysis using localized spatial filters

A.C. Bovik;M. Clark;W.S. Geisler

2280
Citations
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality

A. K. Moorthy;A. C. Bovik

1975
Citations
Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain

M. A. Saad;A. C. Bovik;C. Charrier

1891
Citations
Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index

Wufeng Xue;Lei Zhang;Xuanqin Mou;Alan C. Bovik

1712
Citations
An information fidelity criterion for image quality assessment using natural scene statistics

H.R. Sheikh;A.C. Bovik;G. de Veciana

1709
Citations
Video Quality Assessment Based on Structural Distortion Measurement

Zhou Wang;Zhou Wang;Ligang Lu;Alan C. Bovik

1629
Citations
Multi-scale structural similarity for image quality assessment

Zhou Wang;Eero P. Simoncelli;Alan C. Bovik

1487
Citations
A Two-Step Framework for Constructing Blind Image Quality Indices

A.K. Moorthy;A.C. Bovik

1418
Citations
Study of Subjective and Objective Quality Assessment of Video

Kalpana Seshadrinathan;Rajiv Soundararajan;Alan Conrad Bovik;Lawrence K Cormack

1377
Citations
A Feature-Enriched Completely Blind Image Quality Evaluator

Lin Zhang;Lei Zhang;Alan C. Bovik

1219
Citations
No-reference perceptual quality assessment of JPEG compressed images

Zhou Wang;H.R. Sheikh;A.C. Bovik

1202
Citations
Image Quality Assessment: From Error Measurement to Structural Similarity

Zhou Wang;Alan C. Bovik;Hamid R. Sheikh;Eero P. Simoncelli

874
Citations

Frequent Co-Authors

Lawrence K. Cormack The University of Texas at Austin

Sanghoon Lee Yonsei University

Zhou Wang University of Waterloo

Robert W. Heath University of California, San Diego

Brian L. Evans The University of Texas at Austin

Wilson S. Geisler The University of Texas at Austin

Scott T. Acton University of Virginia

Petros Maragos National Technical University of Athens

Jake K. Aggarwal The University of Texas at Austin

Joydeep Ghosh The University of Texas at Austin

External Links

Wikipedia of Alan C. Bovik Personal website of Alan C. Bovik Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

If you’re passionate about Computer Science, there are several related online degrees that can expand your career options. Many students explore online cybersecurity master’s programs, which prepare graduates for in-demand roles in information security and cyber defense. These degrees often focus on critical skills like threat analysis and risk management.

Other pathways to consider include technology-related roles in different industries. For example, a construction management degree cost is worth evaluating for those interested in engineering, project management, or the growing field of construction technology. Affordable options make this an attractive alternative to traditional engineering degrees.

Students focused on public service or law enforcement may want to research the cheapest online criminal justice degrees. These programs offer flexible, budget-friendly education for those aiming to work in cybercrime or digital forensics—fields closely aligned with computer science skills.

For those interested in business or finance, online accounting classes can offer a strong foundation in data analysis, auditing, and financial technology. No matter your career goal, online education allows you to build technical skills and credentials in a convenient, cost-effective way.