Reza Alizadeh

Management Science and Operations Research · 2020

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 46 citations into it; #9,661 of 11,946 by trust here, #11,755 by citations
• Statistics and Probability — 31 citations into it; #10,729 of 12,932 by trust here, #12,603 by citations
• Computational Theory and Mathematics — 25 citations into it; #9,958 of 12,182 by trust here, #11,946 by citations
• Artificial Intelligence — 24 citations into it
• Environmental Engineering — 20 citations into it
• Control and Systems Engineering — 10 citations into it
• Statistical and Nonlinear Physics — 6 citations into it
• Civil and Structural Engineering — 5 citations into it

Whom Reza Alizadeh trusts overall

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

1. Thomas L. Saaty
2. Hans-Martin Gutmann
3. Tin Kam Ho
4. Ryszard S. Michalski
5. Zbigniew J. Czech
6. Felipe Antonio Chegury Viana
7. R. Rebonato
8. Luiz Paulo Lopes Fávero
9. David S. Broomhead
10. P. Mugunthan

Who trusts Reza Alizadeh overall

1. Jakub Kudela
2. R. Matousek

Papers from Reza Alizadeh's perspective

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

1. Design and analysis of computer experiments
2. A Taxonomy of Global Optimization Methods Based on Response Surfaces
3. The Nature of Statistical Learning Theory
4. The Elements of Statistical Learning
5. Random Forests
6. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
7. Greedy function approximation: A gradient boosting machine.
8. A Radial Basis Function Method for Global Optimization (Journal of Global Optimization)
9. Recent advances in surrogate-based optimization
10. Design and Analysis of Experiments

Their papers

• Managing computational complexity using surrogate models: a critical review (2020) — 395 citations
• Outlook on biofuels in future studies: A systematic literature review (2020) — 112 citations
• Improving renewable energy policy planning and decision-making through a hybrid MCDM method (2020) — 223 citations