D-Index & Metrics Best Publications

James C. Spall

Johns Hopkins University Applied Physics Laboratory
United States

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Engineering and Technology D-index 31 Citations 9,805 180 World Ranking 7110 National Ranking 2167

Research.com Recognitions

Awards & Achievements

2003 - IEEE Fellow For contributions to stochastic algorithms in control and optimization.

Overview

What is he best known for?

The fields of study James C. Spall is best known for:

Mathematical optimization
Statistics
Stochastic approximation

His Stochastic process study frequently draws connections to adjacent fields such as Simultaneous perturbation stochastic approximation. His research on Simultaneous perturbation stochastic approximation often connects related areas such as Stochastic process. As part of his studies on Computer security, he often connects relevant subjects like Key (lock). The study of Key (lock) is intertwined with the study of Computer security in a number of ways. James C. Spall integrates Mathematical optimization with Stochastic approximation in his study. In his work, James C. Spall performs multidisciplinary research in Stochastic approximation and Stochastic optimization. He integrates many fields in his works, including Stochastic optimization and Machine learning. James C. Spall performs multidisciplinary study in Machine learning and Artificial neural network in his work. While working in this field, James C. Spall studies both Artificial neural network and Function approximation.

His most cited work include:

Multivariate stochastic approximation using a simultaneous perturbation gradient approximation (1812 citations)
Implementation of the simultaneous perturbation algorithm for stochastic optimization (593 citations)
Adaptive stochastic approximation by the simultaneous perturbation method (372 citations)

What are the main themes of his work throughout his whole career to date

His Quantum mechanics research is linked to Perturbation (astronomy), Scale (ratio) and Gaussian. His study ties his expertise on Quantum mechanics together with the subject of Scale (ratio). James C. Spall merges many fields, such as Statistics and Multivariate statistics, in his writings. He conducts interdisciplinary study in the fields of Multivariate statistics and Statistics through his research. His study ties his expertise on Prior information together with the subject of Artificial intelligence. He brings together Mathematical optimization and Stochastic approximation to produce work in his papers. He undertakes multidisciplinary investigations into Stochastic approximation and Stochastic optimization in his work. He combines Stochastic optimization and Mathematical optimization in his studies. James C. Spall integrates Algorithm and Optimization problem in his research.

James C. Spall most often published in these fields:

Statistics (76.47%)
Artificial intelligence (64.71%)
Mathematical optimization (58.82%)

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