F. Salazar

Computational Mechanics · 2011–2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 10 citations into it
• Mechanics of Materials — 8 citations into it
• Civil and Structural Engineering — 6 citations into it

Whom F. Salazar trusts overall

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

1. David Ruppert
2. Trevor J. Hastie
3. Sergio R. Idelsohn
4. Robert Tibshirani
5. Rao S. Govindaraju
6. Eugenio Oñate
7. Jerome H. Friedman
8. Alex Smola

Papers from F. Salazar's perspective

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

1. Neural Networks for Pattern Recognition
2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
3. The meshless finite element method
4. The Finite Element Method: Its Basis and Fundamentals
5. Unified Lagrangian formulation for elastic solids and incompressible fluids: Application to fluid–structure interaction problems via the PFEM
6. Advances in the particle finite element method for the analysis of fluid-multibody interaction and bed erosion in free surface flows
7. Multiscale space–time fluid–structure interaction techniques
8. A tutorial on support vector regression
9. Opening black box Data Mining models using Sensitivity Analysis
10. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition

Their papers

• Data-Based Models for the Prediction of Dam Behaviour: A Review and Some Methodological Considerations (2017) — 327 citations
• Possibilities of the particle finite element method for fluid–soil–structure interaction problems (2011) — 203 citations