Inverse Problems Publications

Publications in Inverse Problems

Explore the most influential research papers and scholarly works that have shaped Inverse Problems. Use the concept filter below to focus on a specific sub-area of research.

Inverse Problems

136.5K

Publications

8.8M

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Generalized Gradient Approximation Made Simple John P. Perdew, Kieron Burke, Matthias Ernzerhof Physical Review Letters Numerical AnalysisEngineeringMachine LearningVariational AnalysisSimple Gga	1996	203.9K
Projector augmented-wave method Peter E. Blöchl Physical review. B, Condensed matter EngineeringOptic DesignAugmentation ProcedureComputational ChemistryChemistry	1994	87.4K
An Algorithm for Least-Squares Estimation of Nonlinear Parameters Donald W. Marquardt Journal of the Society for Industrial and Applied Mathematics Parameter EstimationEngineeringNonlinear OptimizationNonlinear EstimationNonlinear System Identification	1963	30.1K
A Simplex Method for Function Minimization J. A. Nelder, R. Mead The Computer Journal Numerical AnalysisMathematical ProgrammingLarge-scale Global OptimizationEngineeringUnconstrained Optimization	1965	28.5K
Compressed sensing David L. Donoho IEEE Transactions on Information Theory Image AnalysisEngineeringImage CodingImage CompressionCompressive Sensing	2006	22.8K
Numerical recipes in C: the art of scientific computing Choice Reviews Online Numerical AnalysisSpectral TheorySecond EditionNumerical ComputationEngineering	1993	18K
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images Stuart Geman, Donald Geman IEEE Transactions on Pattern Analysis and Machine Intelligence EngineeringBayesian RestorationMarkov Chain Monte CarloMrf Image ModelDeblurring	1984	17.9K
Canonical sampling through velocity rescaling Giovanni Bussi, Davide Donadio, Michele Parrinello The Journal of Chemical Physics EngineeringCanonical DistributionNew Molecular DynamicsParticle MethodComputational Chemistry	2007	17.5K
Regularization Paths for Generalized Linear Models via Coordinate Descent Jerome H. Friedman, Trevor Hastie, Robert Tibshirani Journal of Statistical Software EngineeringMachine LearningRegularization PathHigh-dimensional MethodConvex Optimization	2010	16.3K
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information Emmanuel J. Candès, Justin Romberg, Terence Tao IEEE Transactions on Information Theory Statistical Signal ProcessingSparse RepresentationEngineeringUncertainty QuantificationRobust Uncertainty Principles	2006	15.6K
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers Stephen Boyd Foundations and Trends® in Machine Learning Statistical LearningEngineeringMachine LearningContinuous OptimizationConvex Optimization	2010	15.6K
Nonlinear total variation based noise removal algorithms L. Rudin, Stanley Osher, Emad Fatemi Physica D Nonlinear Phenomena EngineeringNonlinear Total VariationNoiseVideo DenoisingImage Denoising	1992	15.4K

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