Costas Papadimitriou

Statistics and Probability · 2000–2016

A researcher in the Science corpus: 13 papers; trusts 50 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 46 citations into it; #1,347 of 12,932 by trust here, #1,887 by citations
• Civil and Structural Engineering — 42 citations into it; #401 of 6,160 by trust here, #1,863 by citations
• Artificial Intelligence — 27 citations into it
• Control and Systems Engineering — 20 citations into it
• Molecular Biology — 9 citations into it; #7,080 of 17,773 by trust here, #14,509 by citations
• Probabilistic & Bayesian Methods — 8 citations into it
• Computational Mechanics — 7 citations into it
• Computational Theory and Mathematics — 7 citations into it; #4,205 of 12,182 by trust here, #5,724 by citations

Whom Costas Papadimitriou trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David E. Goldberg
2. James L. Beck
3. Z. Michalewicz
4. Siu-Kui Au
5. Edwin Reynders
6. D. Benasciutti
7. R. Tovo
8. Guido De Roeck
9. Radford M. Neal
10. Nicolas Chopin

Who trusts Costas Papadimitriou overall

1. Hao Sun
2. B. Kouchmeshky
3. Geert Lombaert
4. Wieslaw Ostachowicz
5. Saeed Eftekhar Azam
6. Oral Büyüköztürk
7. Chao Jiang
8. Eleni N. Chatzi
9. W. Aquino
10. Rohan Soman

Papers from Costas Papadimitriou's perspective

Ordered by how strongly the researchers Costas Papadimitriou trusts endorse each paper. Same corpus, a different order for every researcher.

1. Entropy-Based Optimal Sensor Location for Structural Model Updating
2. Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors
3. A natural observer for optimal state estimation in second order linear structural systems
4. Reference-based combined deterministic–stochastic subspace identification for experimental and operational modal analysis
5. Sequential Monte Carlo samplers
6. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
7. Numerical integration using sparse grids (Numerical Algorithms)
8. Stochastic Subset Optimization for optimal reliability problems
9. Reliability-based topology optimization
10. A sequential particle filter method for static models

Their papers

• Bayesian uncertainty quantification and propagation in molecular dynamics simulations: a high performance computing framework. (2012) — 214 citations
• Entropy-Based Optimal Sensor Location for Structural Model Updating (2000) — 366 citations
• Structural model updating and prediction variability using Pareto optimal models (2008) — 77 citations
• New Approximations for Reliability Integrals (2001) — 51 citations
• Optimal sensor placement methodology for parametric identification of structural systems (2004) — 465 citations
• Pareto optimal sensor locations for structural identification (2005) — 116 citations
• Structural identification based on optimally weighted modal residuals (2007) — 102 citations
• Sequential importance sampling for structural reliability analysis (2016) — 255 citations
• The effect of prediction error correlation on optimal sensor placement in structural dynamics (2012) — 209 citations
• Aerodynamic shape optimization for minimum robust drag and lift reliability constraint (2016) — 48 citations
• A dual Kalman filter approach for state estimation via output-only acceleration measurements (2015) — 441 citations
• Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors (2012) — 284 citations
• Fatigue predictions in entire body of metallic structures from a limited number of vibration sensors using Kalman filtering (2011) — 193 citations