James C. Spall

James C. Spall's AcademicInfluence.com Rankings

James C. Spall

Engineering

#4157

World Rank

#5329

Historical Rank

Applied Physics

#945

World Rank

#969

Historical Rank

Electrical Engineering

#1035

World Rank

#1112

Historical Rank

engineering Degrees

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Engineering

James C. Spall's Degrees

PhD Electrical Engineering Stanford University
Masters Electrical Engineering Stanford University
Bachelors Electrical Engineering University of California, Berkeley

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James C. Spall's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Multivariate stochastic approximation using a simultaneous perturbation gradient approximation (1992) (2041)
Introduction to Stochastic Search and Optimization (2003) (1338)
Introduction to Stochastic Search and Optimization. Estimation, Simulation, and Control (Spall, J.C. (2007) (969)
Implementation of the simultaneous perturbation algorithm for stochastic optimization (1998) (717)
Introduction to stochastic search and optimization - estimation, simulation, and control (2003) (519)
AN OVERVIEW OF THE SIMULTANEOUS PERTURBATION METHOD FOR EFFICIENT OPTIMIZATION (1998) (519)
Adaptive stochastic approximation by the simultaneous perturbation method (1998) (445)
IEEE Transactions on Automatic Control (2006) (404)
STOCHASTIC OPTIMIZATION (2002) (286)
Model-free control of nonlinear stochastic systems with discrete-time measurements (1998) (248)
A one-measurement form of simultaneous perturbation stochastic approximation (1997) (235)
A Stochastic Approximation Technique for Generating Maximum Likelihood Parameter Estimates (1987) (168)
Traffic-responsive signal timing for system-wide traffic control (1997) (143)
Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation (1997) (127)
Estimation via Markov chain Monte Carlo (2002) (97)
Nonlinear adaptive control using neural networks: estimation with a smoothed form of simultaneous perturbation gradient approximation (1994) (90)
A stochastic approximation algorithm for large-dimensional systems in the Kiefer-Wolfowitz setting (1988) (87)
Asymptotic Sampling Distribution for Polynomial Chaos Representation of Data: A Maximum Entropy and Fisher information approach (2006) (85)
Simulation-Based Optimization with Stochastic Approximation Using Common Random Numbers (1999) (83)
Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm (2007) (76)
A neural network controller for systems with unmodeled dynamics with applications to wastewater treatment (1994) (74)
Monte Carlo Computation of the Fisher Information Matrix in Nonstandard Settings (2005) (73)
Stochastic Optimization, Stochastic Approximation and Simulated Annealing (1999) (56)
Feature - Estimation via markov chain monte carlo (2003) (54)
Asymptotic distribution theory for the kalman filter state estimator (1984) (52)
The Kantorovich inequality for error analysis of the Kalman filter with unknown noise distributions (1995) (50)
Accelerated second-order stochastic optimization using only function measurements (1997) (47)
A model-free approach to optimal signal light timing for system-wide traffic control (1994) (46)
Stochastic optimization with inequality constraints using simultaneous perturbations and penalty functions (2003) (45)
Stochastic optimization and the simultaneous perturbation method (1999) (44)
Use of the Kalman filter for inference in state-space models with unknown noise distributions (1996) (43)
A modified second‐order SPSA optimization algorithm for finite samples (2002) (41)
Parameter identification for state-space models with nuisance parameters (1990) (39)
Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions (2008) (37)
Robust Neural Network Tracking Controller Using Simultaneous Perturbation Stochastic Approximation (2008) (36)
Developments in stochastic optimization algorithms with gradient approximations based on function measurements (1994) (35)
Least-informative Bayesian prior distributions for finite samples based on information theory (1989) (34)
Model-free control of general discrete-time systems (1993) (34)
Theoretical framework for comparing several popular stochastic optimization approaches (2002) (33)
A constrained simultaneous perturbation stochastic approximation algorithm based on penalty functions (1998) (31)
Discrete simultaneous perturbation stochastic approximation on loss function with noisy measurements (2011) (30)
Identification for Systems With Binary Subsystems (2014) (29)
Cyclic Seesaw Process for Optimization and Identification (2012) (29)
Evaluation of system-wide traffic signal control using stochastic optimization and neural networks (1999) (29)
Simultaneous Perturbation Stochastic Approximation (2005) (28)
Direct adaptive control of nonlinear systems using neural networks and stochastic approximation (1992) (28)
Robust neural network tracking controller using simultaneous perturbation stochastic approximation (2003) (27)
Factorial Design for Efficient Experimentation (2010) (26)
A Feasible Bayesian Estimator of Quantiles for Projectile Accuracy From Non-iid Data (1992) (22)
Theoretical comparisons of evolutionary computation and other optimization approaches (1999) (22)
Theoretical Framework for Comparing Several Stochastic Optimization Approaches (2004) (22)
Optimal sensor configuration for complex systems (1998) (18)
Use of the Kalman filter for inference in state-space models with unknown noise distributions (1997) (18)
Simulation-based examination of the limits of performance for decentralized multi-agent surveillance and tracking of undersea targets (2014) (18)
Relative performance of expected and observed fisher information in covariance estimation for maximum likelihood estimates (2012) (17)
Simultaneous perturbation optimization for efficient image restoration (2005) (17)
Efficient Monte Carlo computation of Fisher information matrix using prior information (2007) (17)
System reliability estimation and confidence regions from subsystem and full system tests (2009) (16)
Validation of state-space models from a single realization of non-Gaussian measurements (1985) (16)
Tracking capability of stochastic gradient algorithm with constant gain (2016) (16)
Sensitivity of a Bayesian Analysis to the Prior Distribution (1994) (16)
Effect of imprecisely known nuisance parameters on estimates of primary parameters (1989) (15)
Bayesian error isolation for models of large-scale systems (1988) (15)
Uncertainty bounds for parameter identification with small sample sizes (1995) (15)
A second order stochastic approximation algorithm using only function measurements (1994) (15)
Rate of convergence in evolutionary computation (2003) (14)
Uncertainties for recursive estimators in nonlinear state-space models, with applications to epidemiology (1995) (14)
Improved methods for Monte Carlo estimation of the fisher information matrix (2008) (13)
Multi-agent surveillance and tracking using cyclic stochastic gradient (2016) (13)
Stationarity and Convergence of the Metropolis-Hastings Algorithm: Insights into Theoretical Aspects (2019) (12)
FACTORIAL DESIGN FOR EFFICIENT EXPERIMENTATION: GENERATING INFORMATIVE DATA FOR SYSTEM IDENTIFICATION (2010) (12)
Feedback and weighting mechanisms for improving Jacobian (Hessian) estimates in the adaptive simultaneous perturbation algorithm (2006) (11)
The information matrix in control: computation and some applications (1999) (11)
Rate of convergence analysis of discrete simultaneous perturbation stochastic approximation algorithm (2013) (11)
A constrained simultaneous perturbation stochastic approximation algorithm based on penalty functions (1999) (10)
Convergence analysis for maximum likelihood-based reliability estimation from subsystem and full system tests (2010) (10)
Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems (2019) (10)
Some theoretical comparisons of stochastic optimization approaches (2000) (10)
Robust test design for reliability estimation with modeling error when combining full system and subsystem tests (2010) (10)
Cyclic stochastic optimization with noisy function measurements (2014) (10)
NEURAL NETWORK APPROACH TO LOCATING ACOUSTIC EMISSION SOURCES IN NON-DESTRUCTIVE EVALUATION (1998) (10)
The distribution of nonstationary autoregressive processes under general noise conditions (1993) (9)
Optimal sensor configuration for complex systems (1998) (9)
Neural network approach to locating acoustic emission sources in nondestructive evaluation (1998) (9)
Mixed Simultaneous Perturbation Stochastic Approximation for Gradient-Free Optimization with Noisy Measurements (2018) (9)
Probabilistic Bounds in Tracking a Discrete-Time Varying Process (2018) (9)
Model-free control of nonlinear stochastic systems in discrete time (1995) (9)
First-order data sensitivity measures with applications to a multivariate signal-plus-noise problem (1990) (8)
Stochastic approximation with nondecaying gain: Error bound and data‐driven gain‐tuning (2020) (8)
Estimating travel time in urban traffic by modeling transportation network systems with binary subsystems (2016) (8)
Hybrid training of optical neural networks (2022) (8)
Stopping small-sample stochastic approximation (2009) (8)
[That BLUP is a Good Thing: The Estimation of Random Effects]: Comment: The Kalman Filter and BLUP (1991) (7)
Stochastic version of second-order (Newton-Raphson) optimization using only function measurements (1995) (7)
Noninformative Bayesian priors for large samples based on Shannon information theory (1987) (7)
Efficient implementation of enhanced adaptive simultaneous perturbation algorithms (2016) (7)
Inequality-based reliability estimates for complex systems (1998) (7)
Asymptotic normality and uncertainty bounds for reliability estimates from subsystem and full system tests (2012) (7)
A Method for Stopping Nonconvergent Stochastic Approximation Processes (2005) (7)
Efficient computation of the Fisher information matrix in the EM algorithm (2017) (7)
An implicit function based procedure for analyzing maximum likelihood estimates from nonidentically distributed data (1985) (7)
Generalization of a Result of Fabian on the Asymptotic Normality of Stochastic Approximation (2019) (6)
Conditions for the insensitivity of the Bayesian posterior distribution to the choice of prior distribution (1987) (6)
Resampling-based calculation of the information matrix for general identification problems (1998) (6)
Annealing‐Type Algorithms (2005) (6)
Monte Carlo-based computation of the Fisher information matrix in nonstandard settings (2003) (6)
An approximation for analyzing a broad class of implicitly and explicitly defined estimators (1986) (6)
Framework for estimating system reliability from full system and subsystem tests with dependence on dynamic inputs (2011) (6)
Computable rate of convergence in evolutionary computation (2002) (6)
Inequality-based reliability estimates for complex systems (2013) (6)
An efficient calculation of Fisher information matrix: Monte Carlo approach using prior information (2007) (5)
Wiley‐Interscience Series in Discrete Mathematics and Optimization (2005) (5)
Preliminary results on relative performance of expected and observed fisher information (2009) (5)
Parameter estimation for systems with binary subsystems (2013) (5)
Adaptive model fitting with time-varying input variables (1999) (5)
GENERATING INFORMATIVE DATA FOR SYSTEM IDENTIFICATION (2010) (5)
System identification for multi-sensor data fusion (2015) (5)
Uncertainty Bounds in Parameter Estimation with Limited Data (2005) (5)
An Approach to Isolating Sources of Errors in Invalid State Space Models based on Stochastic Approximation (1985) (5)
Stochastic approximation in finite samples using surrogate processes (2004) (5)
Evolutionary Computation I: Genetic Algorithms (2005) (5)
System Understanding and Statistical Uncertainty Bounds from Limited Test Data (1997) (4)
Validation of State Space Models in Non-Gaussian Systems (1984) (4)
Improved SPSA Using Complex Variables with Applications in Optimal Control Problems (2021) (4)
Asymptotic normality and efficiency analysis of the cyclic seesaw stochastic optimization algorithm (2016) (4)
Stochastic approximation for neural network weight estimation in the control of uncertain nonlinear systems (1992) (4)
Comparison of Expected and Observed Fisher Information in Variance Calculations for Parameter Estimates (2010) (4)
Discrete simultaneous perturbation stochastic approximation for resource allocation in public health (2014) (4)
A Markovian Framework for Modeling Dynamic Network Traffic (2018) (4)
Relative accuracy of two methods for approximating observed Fisher information (2019) (3)
Simulation‐Based Optimization I: Regeneration, Common Random Numbers, and Selection Methods (2005) (3)
Stochastic Search and Optimization: Motivation and Supporting Results (2005) (3)
Cyclic seesaw optimization with applications to state-space model identification (2011) (3)
Model-Free Optimal Control using SPSA with Complex Variables (2021) (3)
Convergence Analysis for Feedback-and Weighting-Based Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm (2006) (3)
Optimal sensor configuration for complex systems with application to signal detection in structures (2000) (3)
Stopping Stochastic Approximation (2003) (3)
II . 6 Stochastic Optimization (2004) (3)
Cramer-Rao bounds and Monte Carlo calculation of the Fisher information matrix in difficult problems (2004) (3)
SPSA Method Using Diagonalized Hessian Estimate (2019) (3)
Error bound analysis of the least-mean-squares algorithm in linear models (2015) (3)
Effect of the sample on the posterior probability in bayesian analysis (1988) (3)
Model-free control of nonlinear stochastic systems in discrete time (1996) (3)
A system-wide approach to adaptive traffic control (1995) (3)
Beyond the identification of reliability for system with binary subsystems (2017) (3)
Uncertainty bounds in system identification with limited data (1997) (3)
Regression analysis as an aid in making oboe reeds (1997) (3)
SQP-based Projection SPSA Algorithm for Stochastic Optimization with Inequality Constraints (2021) (3)
Stochastic Version Of Second-Order Optimization Using Only Function Measurements (1996) (2)
A neural network approach to nondestructive evaluation of complex structures, with application to highway bridges (1996) (2)
Computable bounds on the rate of convergence in evolutionary computation (2001) (2)
Maximum likelihood-based estimation of parameters in systems with binary subsystems (2013) (2)
Error Estimation for the Particle Filter (2019) (2)
Stochastic Approximation and the Finite‐Difference Method (2005) (2)
Stochastic Gradient Form of Stochastic Approximation (2005) (2)
Identification of State-Space Parameters in the Presence of Uncertain Nuisance Parameters (1989) (2)
Error Analysis for the Particle Filter (2019) (2)
On system identification with nuisance parameters (1994) (2)
Confidence Intervals with Expected and Observed Fisher Information in the Scalar Case (2020) (2)
An Efficient Multistep Stochastic Approximation Algorithm (1986) (2)
Variance of Bounds in Inequality-Based Reliability Estimates (2007) (2)
Seesaw method for combining parameter estimates (2005) (2)
Stopping times and confidence bounds for small-sample stochastic approximation algorithms (2009) (2)
Combining Subsystem and Full System Data with Application to Cold-Formed Steel Shear Wall (2018) (2)
Sensor configuration and optimization for detection of micro-anomalies in structural materials (2012) (1)
Effect of uncertain ancillary parameters on maximum likelihood estimates in dynamic models (1985) (1)
Issues in Stochastic Search and Optimization (2004) (1)
Integrated stochastic optimization and statistical experimental design for multi-robot target tracking (2015) (1)
Cyclic seesaw optimization and identification (2011) (1)
Improved Monte Carlo Estimation of the Fisher Information Matrix with Independent Perturbations (2021) (1)
Stochastic search, optimization, and the simultaneous perturbation algorithm - a tutorial (2003) (1)
Cyclic Seesaw Process for Optimization and Identification (2012) (1)
Efficient Weight Estimation in Neural Networks for Adaptive Control (1991) (1)
Connection of Diagonal Hessian Estimates to Natural Gradients in Stochastic Optimization (2021) (1)
Inequality-based estimates of systems reliability (2004) (1)
Multilevel Data Integration with Application in Sensor Networks (2020) (1)
Probabilistic Bounds for a Class of Filtering Algorithms in the Scalar Case (2021) (1)
Recursive Estimation for Linear Models (2005) (1)
Markov Chain Monte Carlo (2005) (1)
Distribution Estimation for Stochastic Approximation in Finite Samples Using A Surrogate Stochastic Differential Equation Method (2019) (1)
Modeling Traffic Networks Using Integrated Route and Link Data (2018) (1)
On Monte Carlo methods for estimating the fisher information matrix in difficult problems (2009) (1)
Optimum combination of full system and subsystem tests for estimating the reliability of a system (2009) (1)
The Fisher Information Matrix : Performance Measure and Monte Carlo-Based Computation (2003) (1)
Comparison between Expected and Observed Fisher Information in Interval Estimation (2021) (1)
Stochastic Approximation for Nonlinear Root‐Finding (2005) (1)
Formal basis for algorithm comparisons in stochastic optimization (2005) (1)
Switch Updating in SPSA Algorithm for Stochastic Optimization with Inequality Constraints (2023) (1)
EVALUATION AND PRACTICAL CONSIDERATIONS FOR THE S-TRAC SYSTEM-WIDE TRAFFIC SIGNAL CONTROL (1998) (1)
Implementation and application of maximum likelihood reliability estimation from subsystem and full system tests (2010) (1)
Discrete Stochastic Optimization for Public Health Interventions with Constraints (2022) (0)
Reinforcement Learning via Temporal Differences (2005) (0)
Weak convergence and the exponential rate of concentration for posterior density functions (1990) (0)
Frequently Used Notation (2005) (0)
Appendix E. Markov Processes (2005) (0)
Appendix A. Selected Results from Multivariate Analysis (2005) (0)
Evolutionary Computation II: General Methods and Theory (2005) (0)
Optimal Design for Experimental Inputs (2005) (0)
Appendix D. Random Number Generation (2005) (0)
CONTROL OF COMPLEX DUNAMIC SYSTEMS BY NEURAL NGWORKS 14 (2011) (0)
Reliability estimation and confidence regions from subsystem and full system tests via maximum likelihood (2008) (0)
Stochastic Optimization and the Simultaneous Perturbation Algorithm (2007) (0)
Statistical Methods for Optimization in Discrete Problems (2005) (0)
Associate Editors, Technical (2005) (0)
Direct Methods for Stochastic Search (2005) (0)
Control of Complex Dynamic Systems by Neural Networks (1993) (0)
NONSTATIONARY AUTOREGRESSIVE PROCESSES UNDER GENERAL NOISE CONDITIONS (1993) (0)
Appendix B. Some Basic Tests in Statistics (2005) (0)
The applied and computational mathematics program at The Johns Hopkins University (2005) (0)
Toward Enhanced Environmental Effects Representations in Advanced Computer Simulations (1999) (0)
Review Of Stochastic Approximation Algorithms And Applications [Book Reviews] (1999) (0)
Error distribution and confidence bounds for recursive estimators in nonlinear state-space models (1994) (0)
Appendix C. Probability Theory and Convergence (2005) (0)
Review of Stochastic Approximation Algorithms and Applica (1999) (0)
Performance Analysis of Model-Free Control and PID Control on a Class of Nonlinear MIMO Systems (2023) (0)
Inequality-based reliability estimates for complex systems (1998) (0)
Numerical Methods for Stochastic Processes (1995) (0)
Preliminary results in comparing the expected and observed Fisher information for maximum likelihood estimates (2009) (0)
United States Patent ( 19 ) Spall (0)
Simulation‐Based Optimization II: Stochastic Gradient and Sample Path Methods (2005) (0)
Maximum Likelihood Reliability Estimation from Subsystem and Full-System Tests: Method Overview and Illustrative Examples (2022) (0)
Langevin Monte Carlo with SPSA-approximated Gradients (2023) (0)
First results on formal comparison of several stochastic optimization algorithms (2000) (0)
Model Selection and Statistical Information (2005) (0)
Error Analysis for the Particle Filter: Methods and Theoretical Support (2019) (0)
Uncertainty Quantification for the Extended and the Deterministic-Gain Kalman Filters (2022) (0)

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Johns Hopkins University

James C. Spall's Academic­Influence.com Rankings

James C. Spall's Degrees

Why Is James C. Spall Influential?

James C. Spall's Published Works

Published Works

What Schools Are Affiliated With James C. Spall?

James C. Spall's AcademicInfluence.com Rankings