D. Daneshvar

Civil and Structural Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom D. Daneshvar trusts overall

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

  1. Ali Behnood
  2. Eric R. Ziegel
  3. Trevor J. Hastie
  4. Halil Ceylan
  5. J. Olek
  6. Leo Breiman
  7. Mahsa Modiri Gharehveran
  8. Yiren Sun
  9. Emadaldin Mohammadi Golafshani
  10. M. Glinicki

Papers from D. Daneshvar's perspective

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

  1. Development of a New Revised Version of the Witczak E* Predictive Model for Hot Mix Asphalt Mixtures (With Discussion)
  2. The Elements of Statistical Learning
  3. Random Forests
  4. Application of rejuvenators to improve the rheological and mechanical properties of asphalt binders and mixtures: A review (Journal of Cleaner Production)
  5. Use of random forests regression for predicting IRI of asphalt pavements (Construction and Building Materials)
  6. Accuracy of Predictive Models for Dynamic Modulus of Hot-Mix Asphalt
  7. Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm
  8. Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves (Journal of Cleaner Production)
  9. Predicting modulus elasticity of recycled aggregate concrete using M5′ model tree algorithm
  10. Morphology, rheology, and physical properties of polymer-modified asphalt binders (European Polymer Journal)

Their papers