David L. Darmofal

Computational Mechanics · 2000–2014

A researcher in the Science corpus: 9 papers; trusts 36 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 70 citations into it; #1,606 of 10,001 by trust here, #2,203 by citations
• Numerical Analysis — 17 citations into it; #1,222 of 3,586 by trust here, #1,166 by citations
• Mechanics of Materials — 13 citations into it
• Applied Mathematics — 11 citations into it
• Electrical and Electronic Engineering — 10 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Aerospace Engineering — 8 citations into it
• Mechanical Engineering — 7 citations into it

Whom David L. Darmofal trusts overall

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

1. M. Giles
2. Niles A. Pierce
3. D. Venditti
4. Rolf Rannacher
5. Ralf Hartmann
6. Roland Becker
7. Paul Houston
8. J. Tinsley Oden
9. Krzysztof J. Fidkowski
10. Endre Süli

Who trusts David L. Darmofal overall

1. Krzysztof J. Fidkowski
2. D. Venditti
3. David C. Del Rey Fernández
4. Niles A. Pierce
5. Eric J. Nielsen
6. Luca Dede'
7. Jason E. Hicken
8. M. Giles
9. William Oberkampf
10. Zhijian Wang

Papers from David L. Darmofal's perspective

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

1. Grid adaptation for functional outputs: application to two-dimensional inviscid flows
2. Anisotropic grid adaptation for functional outputs: application to two-dimensional viscous flows
3. A Posteriori Error Estimation for Discontinuous Galerkin Approximations of Hyperbolic Systems
4. Analytic adjoint solutions for the quasi-one-dimensional Euler equations (Journal of Fluid Mechanics)
5. A Posteriori Error Estimation in Finite Element Analysis
6. Unified Analysis of Discontinuous Galerkin Methods for Elliptic Problems (SIAM Journal on Numerical Analysis)
7. Symmetric Interior Penalty DG Methods for the Compressible Navier-Stokes Equations II: Goal--Oriented A Posteriori Error Estimation
8. Anisotropic mesh adaptation: towards user‐independent, mesh‐independent and solver‐independent CFD. Part I: general principles
9. Adaptive Galerkin finite element methods for partial differential equations
10. A posteriori error estimation in finite element analysis

Their papers

• CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences (2014) — 954 citations
• Review of Output-Based Error Estimation and Mesh Adaptation in Computational Fluid Dynamics (2011) — 393 citations
• An adaptive simplex cut-cell method for discontinuous Galerkin discretizations of the Navier-Stokes equations (2007) — 53 citations
• p-Multigrid solution of high-order discontinuous Galerkin discretizations of the compressible Navier-Stokes equations (2005) — 408 citations
• An implicit, exact dual adjoint solution method for turbulent flows on unstructured grids (2004) — 203 citations
• Anisotropic grid adaptation for functional outputs: application to two-dimensional viscous flows (2003) — 411 citations
• Impact of Geometric Variability on Axial Compressor Performance (2003) — 166 citations
• Grid adaptation for functional outputs: application to two-dimensional inviscid flows (2002) — 380 citations
• Adjoint error estimation and grid adaptation for functional outputs: application to quasi-one-dimensional flow (2000) — 268 citations