2026 Nasser M. Nasrabadi: 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	59	3361	3265	1627	1568	528	18957

Nasser M. Nasrabadi 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 Nasser M. Nasrabadi sits on this spectrum.

32 publications 991+

This scientist: 528 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Nasser M. Nasrabadi 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 Nasser M. Nasrabadi sits on this spectrum.

30 D-Index 131+

This scientist: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

1997 - SPIE Fellow

Overview

Nasser M. Nasrabadi is affiliated with West Virginia University in the United States and has an extensive publication record primarily in the field of Computer Science. Their research spans several subfields, with a focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and Signal Processing.

The main research topics covered in their work include:

Face recognition and analysis
Biometric Identification and Security
Face and Expression Recognition
Generative Adversarial Networks and Image Synthesis
Image and Signal Denoising Methods
Advanced Image Processing Techniques
Domain Adaptation and Few-Shot Learning

Nasrabadi's publications frequently appear in a range of venues, with notable contributions in:

arXiv (Cornell University)
IEEE Access
IEEE Transactions on Biometrics Behavior and Identity Science
IEEE Transactions on Aerospace and Electronic Systems
IET Biometrics

Selected recent papers include:

"Unsupervised Pixel-Wise Hyperspectral Anomaly Detection via Autoencoding Adversarial Networks," 2021, IEEE Geoscience and Remote Sensing Letters
"Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network," 2020, IEEE Access
"Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition," 2021, IEEE Transactions on Biometrics Behavior and Identity Science
"Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition," 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
"A data-driven surrogate to image-based flow simulations in porous media," 2020, Computers & Fluids

Nasrabadi has collaborated frequently with several co-authors, including:

Ali Dabouei
Jeremy Dawson
Sobhan Soleymani
Fariborz Taherkhani
Mohammad Saeed Ebrahimi Saadabadi

The scientist received the SPIE Fellow award in 1997, acknowledging their contributions to the field. Their work predominantly contributes to advancing biometric identification technologies, computer vision methodologies, and the development of generative adversarial network applications within these domains.

Best Publications

Hyperspectral Remote Sensing Data Analysis and Future Challenges

J. M. Bioucas-Dias;A. Plaza;G. Camps-Valls;P. Scheunders

2223
Citations
Image coding using vector quantization: a review

N.M. Nasrabadi;R.A. King

1571
Citations
Hyperspectral Image Classification Using Dictionary-Based Sparse Representation

Yi Chen;Nasser M. Nasrabadi;Trac D. Tran

1307
Citations
Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery

Heesung Kwon;N.M. Nasrabadi

973
Citations
Hyperspectral Image Classification via Kernel Sparse Representation

Yi Chen;N. M. Nasrabadi;T. D. Tran

668
Citations
Hyperspectral Target Detection : An Overview of Current and Future Challenges

Nasser M. Nasrabadi

614
Citations
Sparse Representation for Target Detection in Hyperspectral Imagery

Yi Chen;N M Nasrabadi;T D Tran

497
Citations
Joint Sparse Representation for Robust Multimodal Biometrics Recognition

Sumit Shekhar;Vishal M. Patel;Nasser M. Nasrabadi;Rama Chellappa

334
Citations
Multi-View Automatic Target Recognition using Joint Sparse Representation

Haichao Zhang;N. M. Nasrabadi;Y. Zhang;T. S. Huang

281
Citations
Automated Hyperspectral Cueing for Civilian Search and Rescue

M.T. Eismann;A.D. Stocker;N.M. Nasrabadi

268
Citations
Hopfield network for stereo vision correspondence

N.M. Nasrabadi;C.Y. Choo

254
Citations
Adaptive anomaly detection using subspace separation for hyperspectral imagery

Heesung Kwon;Sandor Z. Der;Nasser M. Nasrabadi

223
Citations
Object recognition using multilayer Hopfield neural network

S.S. Young;P.D. Scott;N.M. Nasrabadi

208
Citations
Close the loop: Joint blind image restoration and recognition with sparse representation prior

Haichao Zhang;Jianchao Yang;Yanning Zhang;Nasser M. Nasrabadi

201
Citations
Object recognition by a Hopfield neural network

N.M. Nasrabadi;W. Li

198
Citations
Design of Non-Linear Kernel Dictionaries for Object Recognition

Hien Van Nguyen;Vishal M. Patel;Nasser M. Nasrabadi;Rama Chellappa

198
Citations
Image compression using address-vector quantization

N.M. Nasrabadi;Y. Feng

189
Citations
Kernel matched subspace detectors for hyperspectral target detection

Heesung Kwon;N.M. Nasrabadi

189
Citations
Simultaneous Joint Sparsity Model for Target Detection in Hyperspectral Imagery

Yi Chen;N. M. Nasrabadi;T. D. Tran

183
Citations
Multimodal Task-Driven Dictionary Learning for Image Classification

Soheil Bahrampour;Nasser M. Nasrabadi;Asok Ray;William Kenneth Jenkins

182
Citations
Vector quantization of images based upon the kohonen self-organization feature maps

Nasser M. Nasrabadi;Yushu Feng

68
Citations
Automated Hyperspectral Cueing for Civilian Search and Rescue A visible and near-infrared imaging system with detection algorithms is being used in civilian search and rescue missions with encouraging results.

Michael T. Eismann;Alan D. Stocker;Nasser M. Nasrabadi

0
Citations

Frequent Co-Authors

Trac D. Tran Johns Hopkins University

Thomas S. Huang University of Illinois at Urbana-Champaign

Aggelos K. Katsaggelos Northwestern University

Matthew C. Valenti West Virginia University

Rama Chellappa Johns Hopkins University

Vishal M. Patel Johns Hopkins University

Yanning Zhang Northwestern Polytechnical University

Asok Ray Pennsylvania State University

Zhaowen Wang Adobe Systems (United States)

Vishal Monga Pennsylvania State University

External Links

Personal website of Nasser M. Nasrabadi Google Scholar page

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