Zoltan K. Nagy
Materials Chemistry · 2000–2013
A researcher in the Science corpus: 9 papers; trusts 7 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 16 citations into it
- Water Science and Technology — 16 citations into it
- Biomedical Engineering — 11 citations into it
- Control and Systems Engineering — 8 citations into it; #1,972 of 8,257 by trust here, #2,147 by citations
- Mechanical Engineering — 8 citations into it
- Statistics and Probability — 7 citations into it; #6,773 of 12,932 by trust here, #8,740 by citations
- Civil and Structural Engineering — 5 citations into it
- Computational Mechanics — 5 citations into it
Whom Zoltan K. Nagy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Zoltan K. Nagy overall
- Ali Mesbah
- Kwang-Ki K. Kim
- Richard D. Braatz
- Dries Telen
- Heba Askr
- Rolf Findeisen
- Dongying E. Shen
- Milo D. Koretsky
- Stefan Streif
- C. Manolis
Papers from Zoltan K. Nagy's perspective
Ordered by how strongly the researchers Zoltan K. Nagy trusts endorse each paper. Same corpus, a different order for every researcher.
- A feedback-based implementation scheme for batch process optimization
- The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
- An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loève and polynomial expansions
- Global sensitivity analysis using polynomial chaos expansions (Reliability Engineering & System Safety)
- Polynomial chaos expansion for sensitivity analysis (Reliability Engineering & System Safety)
- Solute concentration prediction using chemometrics and ATR-FTIR spectroscopy
- Numerical Methods for Stochastic Computations: A Spectral Method Approach
- Spectral Methods for Uncertainty Quantification
- Feedback and Optimal Sensitivity: Model Reference Transformations, Multiplicative Seminorms, and Approximate Inverses
- Model predictive control: Theory and practice - A survey
Their papers
- Distributional uncertainty analysis using power series and polynomial chaos expansions (2007) — 194 citations
- Recent advances in the monitoring, modelling and control of crystallization systems (2013) — 294 citations
- Wiener's Polynomial Chaos for the Analysis and Control of Nonlinear Dynamical Systems with Probabilistic Uncertainties [Historical Perspectives] (2013) — 107 citations
- Advances and new directions in crystallization control. (2012) — 322 citations
- Applying Kolb's Experiential Learning Cycle for Laboratory Education (2009) — 396 citations
- Modelling of mass transfer in gas–liquid stirred tanks agitated by Rushton turbine and CD-6 impeller: A scale-up study (2009) — 159 citations
- Comparative performance of concentration and temperature controlled batch crystallizations (2008) — 167 citations
- Robust nonlinear model predictive control of batch processes (2003) — 311 citations
- Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations (2000) — 712 citations