World's Best Scientists 2026 revealed!
Mohammad Hemmat Esfe

Mohammad Hemmat Esfe

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Rising Stars
2025
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Mechanical and Aerospace Engineering
Iran
2026

D-Index & Metrics

Rising Stars

D-Index
84
Citations
18605
World Ranking
18
National Ranking
2

Mechanical and Aerospace Engineering

D-Index
91
Citations
19017
World Ranking
107
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in Iran Leader Award
  • 2025 - Research.com Mechanical and Aerospace Engineering in Iran Leader Award
  • 2025 - Research.com Rising Stars Award
  • 2023 - Research.com Mechanical and Aerospace Engineering in Iran Leader Award
  • 2022 - Research.com Mechanical and Aerospace Engineering in Iran Leader Award

Overview

Mohammad Hemmat Esfe is affiliated with Semnan University in Iran and has a primary focus on engineering research. Their scientific contributions span various subfields including biomedical engineering, mechanical engineering, renewable energy, sustainability and the environment, fluid flow and transfer processes, and analytical chemistry.

The research topics predominantly covered by Mohammad Hemmat Esfe involve:

  • Nanofluid flow and heat transfer
  • Rheology and fluid dynamics studies
  • Heat transfer and optimization
  • Lubricants and their additives
  • Solar thermal and photovoltaic systems
  • Petroleum processing and analysis
  • Enhanced oil recovery techniques

Their recent published papers include:

  • Application of nanofluids and fluids in photovoltaic thermal system: An updated review, 2020, Solar Energy
  • A comprehensive review on convective heat transfer of nanofluids in porous media: Energy-related and thermohydraulic characteristics, 2020, Applied Thermal Engineering
  • Application of conventional and hybrid nanofluids in different machining processes: A critical review, 2020, Advances in Colloid and Interface Science
  • A critical review on pulsating flow in conventional fluids and nanofluids: Thermo-hydraulic characteristics, 2020, International Communications in Heat and Mass Transfer
  • A novel integrated model to improve the dynamic viscosity of MWCNT-Al2O3 (40:60)/Oil 5W50 hybrid nano-lubricant using artificial neural networks (ANNs), 2022, Tribology International

Frequently collaborating co-authors include:

  • Davood Toghraie (95 joint publications)
  • Saeed Esfandeh (40 joint publications)
  • Soheyl Alidoust (32 joint publications)
  • Hossein Hatami (19 joint publications)
  • Sayyid Majid Motallebi (15 joint publications)

Mohammad Hemmat Esfe publishes often in key scientific venues such as:

  • Tribology International (12 publications)
  • Colloids and Surfaces A Physicochemical and Engineering Aspects (12 publications)
  • Case Studies in Thermal Engineering (11 publications)
  • Journal of Thermal Analysis and Calorimetry (11 publications)
  • International Communications in Heat and Mass Transfer (8 publications)

Best Publications

  • Experimental determination of thermal conductivity and dynamic viscosity of Ag–MgO/water hybrid nanofluid

    Mohammad Hemmat Esfe;Ali Akbar Abbasian Arani;Mohammad Rezaie;Wei-Mon Yan

  • Thermal conductivity of Cu/TiO2–water/EG hybrid nanofluid: Experimental data and modeling using artificial neural network and correlation☆

    Mohammd Hemmat Esfe;Somchai Wongwises;Ali Naderi;Amin Asadi

  • An experimental study on the effect of diameter on thermal conductivity and dynamic viscosity of Fe/water nanofluids

    Mohammad Hemmat Esfe;Seyfolah Saedodin;Somchai Wongwises;Davood Toghraie

  • Mixed convection of copper-water nanofluid in a shallow inclined lid driven cavity using the lattice Boltzmann method

    Arash Karimipour;Mohammad Hemmat Esfe;Mohammad Reza Safaei;Davood Toghraie Semiromi

  • Experimental studies on the convective heat transfer performance and thermophysical properties of MgO–water nanofluid under turbulent flow

    Mohammad Hemmat Esfe;Seyfolah Saedodin;Mostafa Mahmoodi

  • Simulation of copper-water nanofluid in a microchannel in slip flow regime using the lattice Boltzmann method

    Arash Karimipour;Alireza Hossein Nezhad;Annunziata D’Orazio;Mohammad Hemmat Esfe

  • An applicable study on the thermal conductivity of SWCNT-MgO hybrid nanofluid and price-performance analysis for energy management

    Mohammad Hemmat Esfe;Ali Alirezaie;Mousa Rejvani

  • Thermal conductivity modeling of MgO/EG nanofluids using experimental data and artificial neural network

    Mohammad Hemmat Esfe;Seyfolah Saedodin;Mehdi Bahiraei;Davood Toghraie

  • Thermophysical properties, heat transfer and pressure drop of COOH-functionalized multi walled carbon nanotubes/water nanofluids

    Mohammad Hemmat Esfe;Seyfolah Saedodin;Omid Mahian;Somchai Wongwises

  • Effects of temperature and concentration on rheological behavior of MWCNTs/SiO2(20–80)-SAE40 hybrid nano-lubricant☆

    Mohammad Hemmat Esfe;Masoud Afrand;Wei-Mon Yan;Hooman Yarmand

  • Experimental study on thermal conductivity of ethylene glycol based nanofluids containing Al 2 O 3 nanoparticles

    Mohammad Hemmat Esfe;Arash Karimipour;Wei-Mon Yan;Mohammad Akbari

  • An inspection of thermal conductivity of CuO-SWCNTs hybrid nanofluid versus temperature and concentration using experimental data, ANN modeling and new correlation

    Seyed Hadi Rostamian;Mojtaba Biglari;Seyfolah Saedodin;Mohammad Hemmat Esfe

  • An experimental investigation and new correlation of viscosity of ZnO–EG nanofluid at various temperatures and different solid volume fractions

    Mohammad Hemmat Esfe;Seyfolah Saedodin

  • Designing an artificial neural network to predict dynamic viscosity of aqueous nanofluid of TiO2 using experimental data

    Mohammad Hemmat Esfe;Mohammad Reza Hassani Ahangar;Mousa Rejvani;Davood Toghraie

  • Thermal conductivity of Al2O3/water nanofluids

    Mohammad Hemmat Esfe;Seyfolah Saedodin;Omid Mahian;Somchai Wongwises

  • Designing an artificial neural network to predict thermal conductivity and dynamic viscosity of ferromagnetic nanofluid

    Mohammad Hemmat Esfe;Seyfolah Saedodin;Nima Sina;Masoud Afrand

  • Examination of rheological behavior of MWCNTs/ZnO-SAE40 hybrid nano-lubricants under various temperatures and solid volume fractions

    Mohammad Hemmat Esfe;Masoud Afrand;Seyed Hadi Rostamian;Davood Toghraie

  • Thermal conductivity enhancement of SiO2-MWCNT (85:15 %)-EG hybrid nanofluids: ANN designing, experimental investigation, cost performance and sensitivity analysis

    Mohammad Hemmat Esfe;Pouyan Mohseni Behbahani;Ali Akbar Abbasian Arani;Mohammad Reza Sarlak

  • Experimental evaluation, sensitivity analyzation and ANN modeling of thermal conductivity of ZnO-MWCNT/EG-water hybrid nanofluid for engineering applications

    Mohammad Hemmat Esfe;Saeed Esfandeh;Seyfolah Saedodin;Hadi Rostamian

  • Rheological behavior characteristics of TiO2-MWCNT/10w40 hybrid nano-oil affected by temperature, concentration and shear rate: An experimental study and a neural network simulating

    Mohammad Hemmat Esfe;Hossein Rostamian;Mohammad Reza Sarlak;Mousa Rejvani

  • An experimental study on stability and thermal conductivity of water/silica nanofluid: Eco-friendly production of nanoparticles

    Ramin Ranjbarzadeh;Alireza Moradikazerouni;Reza Bakhtiari;Amin Asadi

Frequent Co-Authors

Masoud Afrand
Masoud Afrand Islamic Azad University of Najafabad
Seyfolah Saedodin
Seyfolah Saedodin Semnan University
Somchai Wongwises
Somchai Wongwises King Mongkut's University of Technology Thonburi
Ali Akbar Abbasian Arani
Ali Akbar Abbasian Arani University of Kashan
Arash Karimipour
Arash Karimipour Cihan University-Erbil
Omid Mahian
Omid Mahian Xi'an Jiaotong University
Wei-Mon Yan
Wei-Mon Yan National Taipei University of Technology
Davood Toghraie
Davood Toghraie Islamic Azad University, Tehran
Mahidzal Dahari
Mahidzal Dahari University of Malaya
Mehdi Bahiraei
Mehdi Bahiraei Razi University

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