2026 James G. Nagy: 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	30	14078	13645	5583	5308	131	4005

James G. Nagy 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 James G. Nagy sits on this spectrum.

32 publications 991+

This scientist: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

James G. Nagy 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 James G. Nagy sits on this spectrum.

30 D-Index 131+

This scientist: 30 D-Index — 3rd percentile

3% 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

2016 - SIAM Fellow For contributions to the computational science of image reconstruction.

Overview

James G. Nagy is affiliated with Emory University in the United States and has contributed extensively to research in mathematics, computer science, and engineering. Their work spans multiple subfields including mathematical physics, computational mechanics, radiology, nuclear medicine and imaging, computational theory and mathematics, as well as computer vision and pattern recognition.

The scientist's research mainly focuses on numerical methods in inverse problems, sparse and compressive sensing techniques, matrix theory and algorithms, medical imaging techniques and applications, electromagnetic scattering and analysis, image and signal denoising methods, and advanced X-ray and CT imaging.

James G. Nagy has published papers in various well-known venues, including:

arXiv (Cornell University)
SIAM Journal on Scientific Computing
SIAM Journal on Matrix Analysis and Applications
Numerical Algorithms
SIAM Journal on Imaging Sciences

Recent papers authored or co-authored by James G. Nagy include:

Limited-Angle CT Reconstruction via the L₁/L₂ Minimization, 2021, SIAM Journal on Imaging Sciences
Minimizing L ₁ over L ₂ norms on the gradient, 2022, Inverse Problems
Iteratively Reweighted FGMRES and FLSQR for Sparse Reconstruction, 2021, SIAM Journal on Scientific Computing
Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets, 2022, SIAM Journal on Matrix Analysis and Applications
An effective alternating direction method of multipliers for color image restoration, 2020, Applied Numerical Mathematics

Frequent co-authors collaborating with James G. Nagy are:

Malena Sabaté Landman
Ariana N. Brown
Julianne Chung
Min Tao
Yifei Lou

In recognition of their contributions to computational science, particularly in image reconstruction, James G. Nagy was named a SIAM Fellow in 2016.

Best Publications

Deblurring Images: Matrices, Spectra, and Filtering

Per Christian Hansen;James G. Nagy;Dianne P. O'Leary

1123
Citations
Restoring images degraded by spatially-variant blur

James G. Nagy;Dianne P. O'Leary

330
Citations
Iterative Methods for Image Deblurring: A Matlab Object-Oriented Approach

James G. Nagy;Katrina Palmer;Lisa Perrone

305
Citations
A weighted-GCV method for Lanczos-hybrid regularization.

Julianne Chung;James G. Nagy;Dianne M. O'Leary

242
Citations
Preconditioned iterative regularization for Ill-posed problems

Martin Hanke;James Nagy;Robert Plemmons

185
Citations
IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems

Silvia Gazzola;Per Christian Hansen;James G. Nagy

177
Citations
Enforcing nonnegativity in image reconstruction algorithms

James G. Nagy;Zdenek Strakos

163
Citations
FFT-based preconditioners for Toeplitz-block least squares problems

Raymond H. Chan;James G. Nagy;Robert J. Plemmons

150
Citations
Restoration of atmospherically blurred images by symmetric indefinite conjugate gradient techniques

Martin Hanke;James G Nagy

146
Citations
Deblurring Images: Matrices, Spectra, and Filtering (Fundamentals of Algorithms 3) (Fundamentals of Algorithms)

Per Christian Hansen;James G. Nagy;Dianne P. O'Leary

145
Citations
Iterative image restoration using approximate inverse preconditioning

J.G. Nagy;R.J. Plemmons;T.C. Torgersen

145
Citations
KRONECKER PRODUCT AND SVD APPROXIMATIONS IN IMAGE RESTORATION

Julie Kamm;James G. Nagy

129
Citations
Numerical methods for coupled super-resolution

Julianne Chung;Eldad Haber;James Nagy

124
Citations
Quasi-Newton approach to nonnegative image restorations

Martin Hanke;James G. Nagy;Curtis Vogel

99
Citations
Optimal Kronecker Product Approximation of Block Toeplitz Matrices

Julie Kamm;James G. Nagy

94
Citations
Covariance-Preconditioned Iterative Methods for Nonnegatively Constrained Astronomical Imaging

Johnathan M. Bardsley;James G. Nagy

93
Citations
Circulant Preconditioned Toeplitz Least Squares Iterations

Raymond H. Chan;James G. Nagy;Robert J. Plemmons

92
Citations
Fast iterative image restoration with a spatially-varying PSF

James G. Nagy;Dianne P. O'Leary

89
Citations
A computational method for the restoration of images with an unknown, spatially-varying blur

Johnathan Bardsley;Stuart Jefferies;James Nagy;Robert Plemmons

89
Citations
Context aided video-to-text information fusion

Erik Blasch;James G. Nagy;Alex Aved;Eric K. Jones

83
Citations
GENERALIZED ARNOLDI-TIKHONOV METHOD FOR SPARSE RECONSTRUCTION ∗

Silvia Gazzola;James G. Nagy

80
Citations
An Efficient Iterative Approach for Large-Scale Separable Nonlinear Inverse Problems

Julianne Chung;James G. Nagy

79
Citations
Kronecker Product Approximations for Image Restoration with Reflexive Boundary Conditions

James G. Nagy;Michael K. Ng;Lisa Perrone

78
Citations
Steepest descent, CG, and iterative regularization of ill-posed problems

J. G. Nagy;K. M. Palmer

75
Citations

Frequent Co-Authors

Robert J. Plemmons Wake Forest University

Dianne P. O'Leary University of Maryland, College Park

Martin Hanke Johannes Gutenberg University of Mainz

Carlo Baccigalupi International School for Advanced Studies

Raymond H. Chan Lingnan University

Yifei Lou University of North Carolina at Chapel Hill

Eric L. Miller Tufts University

Michael K. Ng Hong Kong Baptist University

Gary G. Borisy ADA Forsyth Institute

Matteo Pastorino University of Genoa

External Links

Personal website of James G. Nagy

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