D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index 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. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 38 Citations 6,812 153 World Ranking 2905 National Ranking 34

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Quantum mechanics
  • Mathematical analysis

His primary areas of investigation include System identification, Mathematical optimization, Control theory, Bayesian probability and Kalman filter. The concepts of his System identification study are interwoven with issues in Applied mathematics, Optimality criterion and Calculus. In his research, Information theory, Measure and Optimization problem is intimately related to Estimation theory, which falls under the overarching field of Mathematical optimization.

His Control theory study combines topics in areas such as Stochastic optimization, Sprung mass, Damper and Shock absorber. His Bayesian probability study combines topics from a wide range of disciplines, such as Probabilistic logic, Data mining and Uniqueness. His work in Kalman filter tackles topics such as Vibration which are related to areas like Structural system and Truss.

His most cited work include:

  • Optimal sensor placement methodology for parametric identification of structural systems (261 citations)
  • Entropy-Based Optimal Sensor Location for Structural Model Updating (220 citations)
  • Updating robust reliability using structural test data (214 citations)

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

Costas Papadimitriou mainly focuses on Mathematical optimization, Bayesian probability, Algorithm, Uncertainty quantification and Bayesian inference. His Mathematical optimization research integrates issues from Reliability, Measure and Applied mathematics. Bayesian probability is frequently linked to Data mining in his study.

His research in Algorithm focuses on subjects like Finite element method, which are connected to Multi-objective optimization and System identification. His System identification study incorporates themes from Vibration and Bridge. Costas Papadimitriou works mostly in the field of Probabilistic logic, limiting it down to topics relating to Structural system and, in certain cases, Kalman filter.

He most often published in these fields:

  • Mathematical optimization (24.60%)
  • Bayesian probability (23.79%)
  • Algorithm (21.37%)

What were the highlights of his more recent work (between 2017-2021)?

  • Algorithm (21.37%)
  • Bayesian probability (23.79%)
  • Uncertainty quantification (19.35%)

In recent papers he was focusing on the following fields of study:

Costas Papadimitriou mainly investigates Algorithm, Bayesian probability, Uncertainty quantification, Bayesian inference and Finite element method. His Algorithm research incorporates themes from Kalman filter, Covariance and Parametric statistics. His work carried out in the field of Kalman filter brings together such families of science as Estimation theory and Nonlinear system.

His study in Bayesian probability is interdisciplinary in nature, drawing from both Acceleration and Model selection. His Uncertainty quantification research is multidisciplinary, incorporating perspectives in Data mining, Markov chain Monte Carlo, Data-driven, Probabilistic logic and Statistical model. The study incorporates disciplines such as Reliability, Applied mathematics and System identification in addition to Finite element method.

Between 2017 and 2021, his most popular works were:

  • Bayesian optimal estimation for output‐only nonlinear system and damage identification of civil structures (29 citations)
  • Structural health monitoring and fatigue damage estimation using vibration measurements and finite element model updating (19 citations)
  • Bayesian Annealed Sequential Importance Sampling: An Unbiased Version of Transitional Markov Chain Monte Carlo (19 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Quantum mechanics
  • Algorithm

Costas Papadimitriou spends much of his time researching Algorithm, Bayesian inference, Uncertainty quantification, Bayesian probability and Covariance matrix. His Algorithm study also includes

  • Kalman filter which connect with Nonlinear system and Estimation theory,
  • Robustness which connect with System identification. His Bayesian inference research includes elements of Covariance, Inference, Posterior probability, Likelihood function and Gibbs sampling.

The Posterior probability study combines topics in areas such as Probability distribution, Vibration, Range and Structural engineering, Stiffness. His studies in Uncertainty quantification integrate themes in fields like Importance sampling, Markov chain Monte Carlo, Probabilistic logic, Mathematical optimization and Propagation of uncertainty. Costas Papadimitriou has researched Bayesian probability in several fields, including Kullback–Leibler divergence, Information gain and Identification.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Optimal sensor placement methodology for parametric identification of structural systems

C. Papadimitriou.
Journal of Sound and Vibration (2004)

413 Citations

Entropy-Based Optimal Sensor Location for Structural Model Updating

Costas Papadimitriou;James L. Beck;Siu-Kui Au.
Journal of Vibration and Control (2000)

340 Citations

Updating robust reliability using structural test data

Costas Papadimitriou;James L. Beck;Lambros S. Katafygiotis.
Probabilistic Engineering Mechanics (2001)

334 Citations

Design Optimization of Quarter-car Models with Passive and Semi-active Suspensions under Random Road Excitation:

G. Verros;S. Natsiavas;C. Papadimitriou.
Journal of Vibration and Control (2005)

301 Citations

Asymptotic Expansions for Reliability and Moments of Uncertain Systems

Costas Papadimitriou;James L. Beck;Lambros S. Katafygiotis.
Journal of Engineering Mechanics-asce (1997)

294 Citations

A dual Kalman filter approach for state estimation via output-only acceleration measurements

Saeed Eftekhar Azam;Eleni Chatzi;Costas Papadimitriou.
Mechanical Systems and Signal Processing (2015)

253 Citations

Leakage detection in water pipe networks using a Bayesian probabilistic framework

Z. Poulakis;D. Valougeorgis;C. Papadimitriou.
Probabilistic Engineering Mechanics (2003)

208 Citations

Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors

E. Lourens;C. Papadimitriou;C. Papadimitriou;S. Gillijns;E. Reynders.
Mechanical Systems and Signal Processing (2012)

204 Citations

Bayesian uncertainty quantification and propagation in molecular dynamics simulations: a high performance computing framework.

Panagiotis Angelikopoulos;Costas Papadimitriou;Petros Koumoutsakos.
Journal of Chemical Physics (2012)

190 Citations

The effect of prediction error correlation on optimal sensor placement in structural dynamics

Costas Papadimitriou;Geert Lombaert.
Mechanical Systems and Signal Processing (2012)

182 Citations

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Best Scientists Citing Costas Papadimitriou

James L. Beck

James L. Beck

California Institute of Technology

Publications: 67

Ka-Veng Yuen

Ka-Veng Yuen

University of Macau

Publications: 63

Siu-Kui Au

Siu-Kui Au

Nanyang Technological University

Publications: 49

Heung-Fai Lam

Heung-Fai Lam

City University of Hong Kong

Publications: 43

Geert Lombaert

Geert Lombaert

KU Leuven

Publications: 30

Hong-Nan Li

Hong-Nan Li

Dalian University of Technology

Publications: 24

Ting-Hua Yi

Ting-Hua Yi

Dalian University of Technology

Publications: 24

Lambros S. Katafygiotis

Lambros S. Katafygiotis

Hong Kong University of Science and Technology

Publications: 22

Petros Koumoutsakos

Petros Koumoutsakos

Harvard University

Publications: 19

Michael I. Friswell

Michael I. Friswell

Swansea University

Publications: 15

Michael Beer

Michael Beer

University of Liverpool

Publications: 14

You-Lin Xu

You-Lin Xu

Hong Kong Polytechnic University

Publications: 14

Joel P. Conte

Joel P. Conte

University of California, San Diego

Publications: 12

Christian Soize

Christian Soize

Université Gustave Eiffel

Publications: 11

Nong Zhang

Nong Zhang

Hefei University of Technology

Publications: 11

Daniel Straub

Daniel Straub

Technical University of Munich

Publications: 11

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