D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mechanical and Aerospace Engineering D-index 37 Citations 4,316 161 World Ranking 708 National Ranking 10

Overview

What is he best known for?

The fields of study he is best known for:

  • Thermodynamics
  • Chemistry
  • Mechanics

Mechanics, Nanofluid, Heat transfer, Chemistry and Thermophoresis are his primary areas of study. His study in Mechanics is interdisciplinary in nature, drawing from both Classical mechanics and Thermal radiation. In his study, Waqar Azeem Khan carries out multidisciplinary Nanofluid and Heat generation research.

His work deals with themes such as Shear thinning and Heat sink, which intersect with Heat transfer. Within one scientific family, Waqar Azeem Khan focuses on topics pertaining to Convection under Thermophoresis, and may sometimes address concerns connected to Biot number. His research investigates the link between Boundary layer and topics such as Nusselt number that cross with problems in Boundary value problem and Shooting method.

His most cited work include:

  • Impact of nonlinear thermal radiation and gyrotactic microorganisms on the Magneto-Burgers nanofluid (115 citations)
  • Non-linear radiative flow of three-dimensional Burgers nanofluid with new mass flux effect (92 citations)
  • Impact of chemical processes on magneto nanoparticle for the generalized Burgers fluid (81 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Mechanics, Nanofluid, Materials science, Thermophoresis and Heat transfer. His Mechanics research includes elements of Nusselt number and Thermal radiation. His study looks at the relationship between Thermal radiation and fields such as Bejan number, as well as how they intersect with chemical problems.

He combines subjects such as Thermal conductivity, Partial differential equation, Parasitic drag, Boundary layer and Homotopy analysis method with his study of Nanofluid. His Thermophoresis research is multidisciplinary, relying on both Drag and Brinkman number. In the subject of general Heat transfer, his work in Convective heat transfer and Heat flux is often linked to Chemistry, thereby combining diverse domains of study.

He most often published in these fields:

  • Mechanics (106.25%)
  • Nanofluid (73.61%)
  • Materials science (50.00%)

What were the highlights of his more recent work (between 2019-2021)?

  • Mechanics (106.25%)
  • Nanofluid (73.61%)
  • Materials science (50.00%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Mechanics, Nanofluid, Materials science, Convection and Thermal radiation. His biological study spans a wide range of topics, including Nusselt number and Bejan number. His Nusselt number research incorporates elements of Parasitic drag and Boundary layer.

Waqar Azeem Khan merges Nanofluid with Brownian motion in his research. In the field of Convection, his study on Prandtl number overlaps with subjects such as Rotation. His Thermophoresis study combines topics from a wide range of disciplines, such as Drag and Carreau fluid.

Between 2019 and 2021, his most popular works were:

  • A rheological analysis of nanofluid subjected to melting heat transport characteristics (30 citations)
  • A rheological analysis of nanofluid subjected to melting heat transport characteristics (30 citations)
  • Computational analysis of entropy generation for cross-nanofluid flow (30 citations)

In his most recent research, the most cited papers focused on:

  • Thermodynamics
  • Mechanics
  • Viscosity

Waqar Azeem Khan spends much of his time researching Mechanics, Nanofluid, Brownian motion, Entropy and Bejan number. He has researched Mechanics in several fields, including Nusselt number and Heat sink. Nanofluid is a subfield of Heat transfer that Waqar Azeem Khan tackles.

The concepts of his Heat transfer study are interwoven with issues in Dimensionless quantity, Shear thinning, Carreau fluid and Mass flux. His Bejan number study frequently draws connections to other fields, such as Thermal radiation. His studies deal with areas such as Shooting method, Rheology, Second law of thermodynamics, Boundary layer and Schmidt number as well as Thermophoresis.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

N-Transform - Properties and Applications

Zafar H. Khan;Waqar. A. Khan.
NUST Journal of Engineering Sciences (2008)

163 Citations

Impact of nonlinear thermal radiation and gyrotactic microorganisms on the Magneto-Burgers nanofluid

M. Khan;M. Irfan;W.A. Khan.
International Journal of Mechanical Sciences (2017)

127 Citations

Fully developed entropy optimized second order velocity slip MHD nanofluid flow with activation energy.

S.Z. Abbas;S.Z. Abbas;M. Ijaz Khan;S. Kadry;W.A. Khan;W.A. Khan.
Computer Methods and Programs in Biomedicine (2020)

109 Citations

Non-linear radiative flow of three-dimensional Burgers nanofluid with new mass flux effect

Masood Khan;Waqar Azeem Khan;Ali Saleh Alshomrani.
International Journal of Heat and Mass Transfer (2016)

108 Citations

Influence of Arrhenius activation energy in chemically reactive radiative flow of 3D Carreau nanofluid with nonlinear mixed convection

M. Irfan;W.A. Khan;M. Khan;M. Mudassar Gulzar.
Journal of Physics and Chemistry of Solids (2019)

102 Citations

Three-Dimensional Flow of an Oldroyd-B Nanofluid towards Stretching Surface with Heat Generation/ Absorption

Waqar Azeem Khan;Masood Khan;Rabia Malik.
PLOS ONE (2014)

101 Citations

Impact of chemical processes on magneto nanoparticle for the generalized Burgers fluid

W.A. Khan;M. Irfan;M. Khan;A.S. Alshomrani.
Journal of Molecular Liquids (2017)

94 Citations

Entropy optimized MHD nanomaterial flow subject to variable thicked surface.

Jing Wang;Riaz Muhammad;M. Ijaz Khan;W.A. Khan.
Computer Methods and Programs in Biomedicine (2020)

85 Citations

Entropy optimized Darcy-Forchheimer nanofluid (Silicon dioxide, Molybdenum disulfide) subject to temperature dependent viscosity.

S.Z. Abbas;W.A. Khan;W.A. Khan;S. Kadry;M. Ijaz Khan.
Computer Methods and Programs in Biomedicine (2020)

83 Citations

Numerical analysis of unsteady 3D flow of Carreau nanofluid with variable thermal conductivity and heat source/sink

M. Irfan;M. Khan;W.A. Khan.
Results in physics (2017)

79 Citations

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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