2026 James L. Beck: Engineering and Technology Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	78	594	561	206	187	371	27102

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Engineering and Technology

594

561

206

187

371

27102

Engineering and Technology

D-Index

Citations

27102

World Ranking

594

National Ranking

206

Overview

James L. Beck is affiliated with the California Institute of Technology in the United States. Their research primarily spans the fields of Engineering and Physics and Astronomy, with a focus on specialized subfields such as Civil and Structural Engineering, Atomic and Molecular Physics and Optics, Mechanical Engineering, Mechanics of Materials, and Artificial Intelligence.

The main topics covered in their work include Structural Health Monitoring Techniques, Non-Destructive Testing Techniques, Ultrasonics and Acoustic Wave Propagation, Infrastructure Maintenance and Monitoring, Quantum and Classical Electrodynamics, Sparse and Compressive Sensing Techniques, and Probabilistic and Robust Engineering Design.

James L. Beck has published several papers in leading academic venues. Recent publications include:

"Optimal sensor and actuator placement for structural health monitoring via an efficient convex cost-benefit optimization," 2020, Mechanical Systems and Signal Processing
"Sparse Bayesian factor analysis for structural damage detection under unknown environmental conditions," 2021, Mechanical Systems and Signal Processing
"Structural damage detection of space frame structures with semi-rigid connections," 2021, Engineering Structures
"Novel sparseness-inducing dual Kalman filter and its application to tracking time-varying spatially-sparse structural stiffness changes and inputs," 2020, Computer Methods in Applied Mechanics and Engineering
"Damage localization and robust diagnostics in guided-wave testing using multitask complex hierarchical sparse Bayesian learning," 2023, Mechanical Systems and Signal Processing

The frequent co-authors collaborating with James L. Beck include Yong Huang, Hui Li, Jin-Song Pei, Sergio Cantero-Chinchilla, and Manuel Chiachío.

Publications have appeared predominantly in these venues:

arXiv (Cornell University)
Mechanical Systems and Signal Processing
Computer Methods in Applied Mechanics and Engineering
Nonlinear Dynamics
Structural Health Monitoring

Best Publications

Estimation of Small Failure Probabilities in High Dimensions by Subset Simulation

Siu-Kui Au;James L. Beck

2825
Citations
Updating Models and Their Uncertainties. I: Bayesian Statistical Framework

James L. Beck;Lambros S. Katafygiotis

1885
Citations
Bayesian Updating of Structural Models and Reliability using Markov Chain Monte Carlo Simulation

James L. Beck;Siu-Kui Au

1054
Citations
A new adaptive importance sampling scheme for reliability calculations

S.K. Au;J.L. Beck

751
Citations
Model Selection using Response Measurements: Bayesian Probabilistic Approach

James L. Beck;Ka-Veng Yuen

729
Citations
Bayesian system identification based on probability logic

James L. Beck

711
Citations
Bayesian Probabilistic Approach to Structural Health Monitoring

M. W. Vanik;M. W. Vanik;J. L. Beck;J. L. Beck;S. K. Au;S. K. Au

622
Citations
Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem Using Simulated Data

Erik A. Johnson;Heung Fai Lam;Lambros S. Katafygiotis;James L. Beck

608
Citations
Evaluation of the seismic performance of a code-conforming reinforced-concrete frame building—from seismic hazard to collapse safety and economic losses

Christine A. Goulet;Curt B. Haselton;Judith Mitrani-Reiser;James L. Beck

546
Citations
UPDATING MODELS AND THEIR UNCERTAINTIES. II: MODEL IDENTIFIABILITY

Lambros S. Katafygiotis;James L. Beck

541
Citations
SUBSET SIMULATION AND ITS APPLICATION TO SEISMIC RISK BASED ON DYNAMIC ANALYSIS

S. K. Au;J. L. Beck

497
Citations
Entropy-Based Optimal Sensor Location for Structural Model Updating

Costas Papadimitriou;James L. Beck;Siu-Kui Au

439
Citations
Important sampling in high dimensions

S.K. Au;J.L. Beck

415
Citations
Bayesian Model Updating Using Hybrid Monte Carlo Simulation with Application to Structural Dynamic Models with Many Uncertain Parameters

Sai Hung Cheung;James L. Beck

408
Citations
Updating robust reliability using structural test data

Costas Papadimitriou;James L. Beck;Lambros S. Katafygiotis

396
Citations
Sensitivity of Building Loss Estimates to Major Uncertain Variables

Keith A. Porter;James L. Beck;Rustem V. Shaikhutdinov

374
Citations
First excursion probabilities for linear systems by very efficient importance sampling

S.K. Au;J.L. Beck

361
Citations
Convection in a box of porous material saturated with fluid

James L. Beck

360
Citations
Asymptotic Expansions for Reliability and Moments of Uncertain Systems

Costas Papadimitriou;James L. Beck;Lambros S. Katafygiotis

346
Citations
Bayesian Updating and Model Class Selection for Hysteretic Structural Models Using Stochastic Simulation

Matthew M. Muto;James L. Beck

345
Citations

Frequent Co-Authors

Lambros S. Katafygiotis Hong Kong University of Science and Technology

Costas Papadimitriou University Of Thessaly

Siu-Kui Au Nanyang Technological University

Ka-Veng Yuen University of Macau

Jianye Ching National Taiwan University

Hui Li Harbin Institute of Technology

Heung-Fai Lam City University of Hong Kong

Thomas H. Heaton California Institute of Technology

Sami F. Masri University of Southern California

Mark Simons California Institute of Technology

External Links

Personal website of James L. Beck Google Scholar page

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James L. Beck

D-Index & Metrics

D-Index & Metrics

Engineering and Technology

Overview

Best Publications

Estimation of Small Failure Probabilities in High Dimensions by Subset Simulation

Updating Models and Their Uncertainties. I: Bayesian Statistical Framework

Bayesian Updating of Structural Models and Reliability using Markov Chain Monte Carlo Simulation

A new adaptive importance sampling scheme for reliability calculations

Model Selection using Response Measurements: Bayesian Probabilistic Approach

Bayesian system identification based on probability logic

Bayesian Probabilistic Approach to Structural Health Monitoring

Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem Using Simulated Data

Evaluation of the seismic performance of a code-conforming reinforced-concrete frame building—from seismic hazard to collapse safety and economic losses

UPDATING MODELS AND THEIR UNCERTAINTIES. II: MODEL IDENTIFIABILITY

SUBSET SIMULATION AND ITS APPLICATION TO SEISMIC RISK BASED ON DYNAMIC ANALYSIS

Entropy-Based Optimal Sensor Location for Structural Model Updating

Important sampling in high dimensions

Bayesian Model Updating Using Hybrid Monte Carlo Simulation with Application to Structural Dynamic Models with Many Uncertain Parameters

Updating robust reliability using structural test data

Sensitivity of Building Loss Estimates to Major Uncertain Variables

First excursion probabilities for linear systems by very efficient importance sampling

Convection in a box of porous material saturated with fluid

Asymptotic Expansions for Reliability and Moments of Uncertain Systems

Bayesian Updating and Model Class Selection for Hysteretic Structural Models Using Stochastic Simulation

Frequent Co-Authors

External Links

Best Scientists Citing James L. Beck

Trending Scientists

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