Serkan Gugercin

Statistical and Nonlinear Physics · 2000–2020

A researcher in the Science corpus: 7 papers; trusts 25 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 64 citations into it; #355 of 10,127 by trust here, #846 by citations
• Statistics and Probability — 41 citations into it; #1,230 of 12,932 by trust here, #1,751 by citations
• Computational Mechanics — 25 citations into it
• Computational Theory and Mathematics — 21 citations into it; #1,848 of 12,182 by trust here, #2,931 by citations
• Numerical Analysis — 19 citations into it; #209 of 3,586 by trust here, #287 by citations
• Control and Systems Engineering — 17 citations into it; #1,107 of 8,257 by trust here, #1,592 by citations
• Mechanics of Materials — 7 citations into it
• Civil and Structural Engineering — 5 citations into it

Whom Serkan Gugercin trusts overall

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

1. Athanasios C. Antoulas
2. Danny C. Sorensen
3. Saifon Chaturantabut
4. Karen E. Willcox
5. Zhong-Zhi Bai
6. David Amsallem
7. Martin A. Grepl
8. Anthony T. Patera
9. Tan Bui-Thanh
10. G. Berkooz

Who trusts Serkan Gugercin overall

1. Benjamin Peherstorfer
2. Karen E. Willcox
3. Clarence W. Rowley
4. Yunjie Gu
5. Timo Reis
6. Ulrike Baur
7. Tatjana Stykel
8. David Amsallem
9. J. Nathan Kutz
10. Peter Benner

Papers from Serkan Gugercin's perspective

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

1. Balanced Model Reduction via the Proper Orthogonal Decomposition
2. A Survey of Model Reduction Methods for Large-Scale Systems
3. A posteriori error bounds for reduced-basis approximations of parametrized parabolic partial differential equations
4. Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space (SIAM Journal on Scientific Computing)
5. Approximation of Large-Scale Dynamical Systems (Advances in Design and Control)
6. Proper Orthogonal Decomposition Surrogate Models for Nonlinear Dynamical Systems: Error Estimates and Suboptimal Control
7. Eigenvalue decay bounds for solutions of Lyapunov equations: the symmetric case
8. Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics (SIAM Journal on Numerical Analysis)
9. The Sylvester equation and approximate balanced reduction
10. Modeling and control of physical processes using proper orthogonal decomposition

Their papers

• A Survey of Model Reduction Methods for Large-Scale Systems (2000) — 747 citations
• A Survey of Model Reduction by Balanced Truncation and Some New Results (2004) — 905 citations
• A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems (2015) — 1,985 citations
• H2 Model Reduction for Large-Scale Linear Dynamical Systems (2008) — 660 citations
• A New Selection Operator for the Discrete Empirical Interpolation Method - Improved A Priori Error Bound and Extensions (2015) — 363 citations
• Model reduction of large-scale systems by least squares (2006) — 75 citations
• Interpolatory Methods for Model Reduction (2020) — 242 citations