Timothy J. Rogers - Concepedia

Author

Timothy J. Rogers

Also Known As

Rogers, T. J., Rogers, Tim J., Rogers, Timothy, Rogers, Timothy J, Rogers, Timothy J., T J Rogers, T. J. ROGERS, T. J. Rogers, T. ROGERS, T. Rogers

174

Publications

1.7K

Citations

H-Index

Concepts

All Affiliations

University of Sheffield University of Exeter Vattenfall (United Kingdom)University of Wisconsin–Madison University of Maryland, College Park

About

Timothy J. Rogers is an author at University of Sheffield specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	19	565
2	Management	2	2	38
3	Public Health	2	2	141
4	Arts	1	1	63
5	Education	1	1	10

Timothy J. Rogers

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Foundations of population-based SHM, Part I: Homogeneous populations and forms Lawrence A. Bull, Paul Gardner, Julian Gosliga, Mechanical Systems and Signal Processing	2020	158
Probabilistic modelling of wind turbine power curves with application of heteroscedastic Gaussian Process regression Timothy J. Rogers, Paul Gardner, Nikolaos Dervilis, Renewable Energy	2019	91
A Bayesian non-parametric clustering approach for semi-supervised Structural Health Monitoring Timothy J. Rogers, Keith Worden, R. Fuentes, Mechanical Systems and Signal Processing Bayesian StatisticEngineeringMachine LearningMining MethodsUnsupervised Machine Learning	2018	88
Equation discovery for nonlinear dynamical systems: A Bayesian viewpoint R. Fuentes, Rajdip Nayek, Paul Gardner, Mechanical Systems and Signal Processing Discrete Dynamical SystemNonlinear System IdentificationParameter IdentificationEquation Discovery	2021	68
Mixing dance realities W. Scott Meador, Timothy J. Rogers, Kevin O'Neal, Computers in entertainment Dance HistoryDanceMotion CaptureVirtual RealityExperimental Dance Performance	2004	63
Probabilistic active learning: An online framework for structural health monitoring Lawrence A. Bull, Timothy J. Rogers, Chandula T. Wickramarachchi, Mechanical Systems and Signal Processing	2019	63
On the application of Gaussian process latent force models for joint input-state-parameter estimation: With a view to Bayesian operational identification Timothy J. Rogers, Keith Worden, Elizabeth J. Cross Mechanical Systems and Signal Processing State EstimationParameter IdentificationJoint Input-state-parameter EstimationEngineeringUncertainty Quantification	2020	63
On evolutionary system identification with applications to nonlinear benchmarks Keith Worden, Robert J. Barthorpe, Elizabeth J. Cross, Mechanical Systems and Signal Processing	2018	57
A Brief Introduction to Recent Developments in Population-Based Structural Health Monitoring Keith Worden, Lawrence A. Bull, Paul Gardner, Frontiers in Built Environment EngineeringStructural SystemHealth InferencesStructural EngineeringStructural Identification	2020	55
On the confidence bounds of Gaussian process NARX models and their higher-order frequency response functions Keith Worden, W. Becker, Timothy J. Rogers, Mechanical Systems and Signal Processing Parameter EstimationHfrf EstimatesMachine LearningEngineeringMathematical Statistic	2017	53

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