World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
39
Citations
5488
World Ranking
2152
National Ranking
46

Mohammad Akbari publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Mohammad Akbari sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 80 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Mohammad Akbari D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Mohammad Akbari sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 39 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Best Publications

  • An experimental study on thermal conductivity of F-MWCNTs–Fe3O4/EG hybrid nanofluid: Effects of temperature and concentration

    Saeed Sarbolookzadeh Harandi;Arash Karimipour;Masoud Afrand;Mohammad Akbari

  • Effects of temperature and solid volume fraction on viscosity of SiO2-MWCNTs/SAE40 hybrid nanofluid as a coolant and lubricant in heat engines

    Masoud Afrand;Karim Nazari Najafabadi;Mohammad Akbari

  • Effects of temperature and particles concentration on the dynamic viscosity of MgO-MWCNT/ethylene glycol hybrid nanofluid: Experimental study

    Omid Soltani;Mohammad Akbari

  • 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

  • Experimental investigation of rheological behavior of the hybrid nanofluid of MWCNT–alumina/water (80%)–ethylene-glycol (20%)

    Ashkan Afshari;Mohammad Akbari;Davood Toghraie;Mohammad Eftekhari Yazdi

  • Experimental and numerical investigation of temperature distribution and melt pool geometry during pulsed laser welding of Ti6Al4V alloy

    Mohammad Akbari;Seyfolah Saedodin;Davood Toghraie;Reza Shoja-Razavi

  • Experimental study on thermal conductivity of DWCNT-ZnO/water-EG nanofluids ☆

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

  • Applicability of artificial neural network and nonlinear regression to predict thermal conductivity modeling of Al2O3–water nanofluids using experimental data

    Mohammad Hemmat Esfe;Masoud Afrand;Wei-Mon Yan;Mohammad Akbari

  • An experimental study on rheological behavior of hybrid nanofluids made of iron and copper oxide in a binary mixture of water and ethylene glycol: Non-Newtonian behavior

    Mehrdad Bahrami;Mohammad Akbari;Arash Karimipour;Masoud Afrand

  • Applications of feedforward multilayer perceptron artificial neural networks and empirical correlation for prediction of thermal conductivity of Mg(OH)2–EG using experimental data

    Mohammad Hemmat Esfe;Masoud Afrand;Somchai Wongwises;Ali Naderi

  • Develop 24 dissimilar ANNs by suitable architectures & training algorithms via sensitivity analysis to better statistical presentation: Measure MSEs between targets & ANN for Fe-CuO/Eg-Water nanofluid

    Mehrdad Bahrami;Mohammad Akbari;Seyed Amin Bagherzadeh;Arash Karimipour

  • Evaluation of thermal conductivity of COOH-functionalized MWCNTs/water via temperature and solid volume fraction by using experimental data and ANN methods

    Mohammad Hemmat Esfe;Ali Naderi;Mohammad Akbari;Masoud Afrand

  • Experimental investigation of thermal conductivity of nanofluids containing of hybrid nanoparticles suspended in binary base fluids and propose a new correlation

    Amir Kakavandi;Mohammad Akbari

  • Develop optimal network topology of artificial neural network (AONN) to predict the hybrid nanofluids thermal conductivity according to the empirical data of Al2O3 – Cu nanoparticles dispersed in ethylene glycol

    Yeping Peng;Amir Parsian;Hossein Khodadadi;Mohammad Akbari

  • Experimental investigation and development of new correlations for thermal conductivity of CuO/EG–water nanofluid☆

    Mohammad Hemmat Esfe;Seyfolah Saedodin;Mohammad Akbari;Arash Karimipour

  • Mixed convection of Water-Aluminum oxide nanofluid in an inclined lid-driven cavity containing a hot elliptical centric cylinder

    Bijan Karbasifar;Mohammad Akbari;Davood Toghraie

  • An experimental study on rheological behavior of a nanofluid containing oxide nanoparticle and proposing a new correlation

    Amir Hussein Saeedi;Mohammad Akbari;Davood Toghraie

  • EFFECT OF NANOFLUID VARIABLE PROPERTIES ON MIXED CONVECTION FLOW AND HEAT TRANSFER IN AN INCLINED TWO-SIDED LID-DRIVEN CAVITY WITH SINUSOIDAL HEATING ON SIDEWALLS

    Mohammad Hemmat Esfe;Mohammad Akbari;Davood Semiromi Toghraie;Arash Karimipour

  • An experimental study on rheological behavior of ethylene glycol based nanofluid: Proposing a new correlation as a function of silica concentration and temperature

    Mohammad Akbari;Masoud Afrand;Ali Arshi;Arash Karimipour

  • Mixed-convection flow and heat transfer in an inclined cavity equipped to a hot obstacle using nanofluids considering temperature-dependent properties

    Mohammad Hemmat Esfe;Mohammad Akbari;Arash Karimipour;Masoud Afrand

Frequent Co-Authors

Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Arash Karimipour
Arash Karimipour Cihan University-Erbil
Liqiang Nie
Liqiang Nie Shandong University
Masoud Afrand
Masoud Afrand Islamic Azad University of Najafabad
Xia Hu
Xia Hu Rice University
Jun Wang
Jun Wang University College London
Pascal Bouvry
Pascal Bouvry University of Luxembourg
Ngai-Man Cheung
Ngai-Man Cheung Singapore University of Technology and Design
Marjan Goodarzi
Marjan Goodarzi Lamar University
Dustin T. Duncan
Dustin T. Duncan Columbia University

External Links

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees related to Mechanical and Aerospace Engineering can open up diverse career opportunities. While pursuing advanced engineering degrees, many students consider the cost of online speech pathology degree programs to compare different fields and their financial implications. Understanding these costs can help make informed decisions about educational investments.

Veterans interested in transitioning to engineering or other professional fields will find tailored options, such as speech pathology programs online for veterans, that recognize their unique circumstances and offer flexible learning paths.

For those seeking rapid advancement, accelerated programs can be appealing. An example is the accelerated slp master’s program, which emphasizes the value of streamlined education to enter the workforce faster—an approach applicable to various technical disciplines.

Beyond engineering, understanding career outlooks and salary potential, such as the intriguing insights from the FBI profiler salary data, can inspire students to consider interdisciplinary roles where technical and analytical skills are in high demand.

Best Scientists Citing Mohammad Akbari

Recently Published Articles