Annunziata D'Orazio

Biomedical Engineering · 2004–2019

A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Annunziata D'Orazio trusts overall

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

  1. Arash Karimipour
  2. M. Hemmat Esfe
  3. A. Raisi
  4. Saiied M. Aminossadati
  5. Massimo Corcione
  6. Sauro Succi
  7. Mohammad Reza Safaei
  8. Behzad Ghasemi
  9. Chi-Wang Shu
  10. A. K. Santra

Who trusts Annunziata D'Orazio overall

  1. Arash Karimipour
  2. Moran Wang
  3. H. Dixit
  4. Z. Nikkhah
  5. Ning Pan
  6. V. Babu
  7. Mohammad Reza Safaei
  8. Marjan Goodarzi
  9. Omid Ali Akbari
  10. Davood Toghraie

Papers from Annunziata D'Orazio's perspective

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

  1. Application of lattice Boltzmann method to simulate microchannel flows
  2. A Numerical Study on the Forced Convection of Laminar Nanofluid in a Microchannel with Both Slip and No-Slip Conditions
  3. A micro-convection model for thermal conductivity of nanofluids
  4. Thermal conductivity modeling of MgO/EG nanofluids using experimental data and artificial neural network (Journal of Thermal Analysis and Calorimetry)
  5. Experimental investigation on convective heat transfer and rheological characteristics of Cu–TiO2 hybrid nanofluids
  6. The Lattice Boltzmann Equation for Fluid Dynamics and Beyond
  7. Natural convection of Cu–water nanofluid in a cavity with partially active side walls
  8. Enhanced heat transfer and friction factor of MWCNT–Fe3O4/water hybrid nanofluids
  9. Synthesis of spherical silica/multiwall carbon nanotubes hybrid nanostructures and investigation of thermal conductivity of related nanofluids
  10. Application to natural convection enclosed flows of a lattice Boltzmann BGK model coupled with a general purpose thermal boundary condition

Their papers