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Mehdi Bahiraei

Mehdi Bahiraei

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 58 775 705 22 22 183 10986

Mehdi Bahiraei publications per year

The chart shows the history of publications by Mehdi Bahiraei between 2008 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mehdi Bahiraei published across 18 years, from 2008 to 2025, averaging 10.3 papers a year. Output peaked at 31 publications in 2019. 3 of the 185 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2008 to 2025. Vertical axis: number of publications, 0 to 31. Peak 31 publications in 2019. 2008: 1 publication 2009: 1 publication 2010: 0 publications 2011: 1 publication 2012: 2 publications 2013: 5 publications 2014: 12 publications 2015: 7 publications 2016: 10 publications 2017: 17 publications 2018: 24 publications 2019: 31 publications 2020: 29 publications 2021: 29 publications 2022: 9 publications 2023: 4 publications 2024: 0 publications 2025: 3 publications
2008 2025

185 publications in total across all disciplines

View publications per year as a table
Mehdi Bahiraei: publications per year, 2008 to 2025
Year Publications
2008 1
2009 1
2010 0
2011 1
2012 2
2013 5
2014 12
2015 7
2016 10
2017 17
2018 24
2019 31
2020 29
2021 29
2022 9
2023 4
2024 0
2025 3
Total 185
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Mehdi Bahiraei 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 Mehdi Bahiraei sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 177–186 publications, is where this scientist sits. 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
47–56 publications 659+

This scientist: 183 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130 183
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
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Mehdi Bahiraei 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 Mehdi Bahiraei sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 58 D-Index, is where this scientist sits. 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: 58 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34 58
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
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Overview

Mehdi Bahiraei is a researcher affiliated with Razi University in Iran. Their research contributions primarily fall within the field of Engineering, with a focus on Mechanical Engineering, Biomedical Engineering, and Renewable Energy, Sustainability, and the Environment. Their work integrates Computational Mechanics and Electrical and Electronic Engineering to a lesser extent.

The main topics addressed in Bahiraei's research include:

  • Nanofluid Flow and Heat Transfer
  • Heat Transfer Mechanisms
  • Heat Transfer and Optimization
  • Solar Thermal and Photovoltaic Systems
  • Fluid Dynamics and Turbulent Flows
  • Solar-Powered Water Purification Methods
  • Solar Radiation and Photovoltaics

Bahiraei's publication record includes numerous papers published in specialized journals. Frequent publication venues consist of:

  • Powder Technology
  • Applied Thermal Engineering
  • International Communications in Heat and Mass Transfer
  • Chemical Engineering and Processing - Process Intensification
  • Journal of Cleaner Production

Among Bahiraei's recent papers are:

  • "Employing artificial bee colony and particle swarm techniques for optimizing a neural network in prediction of heating and cooling loads of residential buildings," 2020, Journal of Cleaner Production
  • "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
  • "Using neural network optimized by imperialist competition method and genetic algorithm to predict water productivity of a nanofluid-based solar still equipped with thermoelectric modules," 2020, Powder Technology
  • "Modeling of energy efficiency for a solar still fitted with thermoelectric modules by ANFIS and PSO-enhanced neural network: A nanofluid application," 2021, Powder Technology

Bahiraei collaborates frequently with a range of co-authors, including:

  • Nima Mazaheri
  • Hossein Moayedi
  • Ali Monavari
  • Habibollah Safarzadeh
  • Loke Kok Foong

Best Publications

  • Electronics cooling with nanofluids: A critical review

    Mehdi Bahiraei;Saeed Heshmatian

  • Flow and heat transfer characteristics of magnetic nanofluids: A review

    Mehdi Bahiraei;Morteza Hangi

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

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

  • Performance improvement of a single slope solar still by employing thermoelectric cooling channel and copper oxide nanofluid: An experimental study

    Saeed Nazari;Habibollah Safarzadeh;Mehdi Bahiraei

  • Recent research contributions concerning use of nanofluids in heat exchangers: A critical review

    Mehdi Bahiraei;Reza Rahmani;Ali Yaghoobi;Erfan Khodabandeh

  • Efficacy of a hybrid nanofluid in a new microchannel heat sink equipped with both secondary channels and ribs

    Mehdi Bahiraei;Mohammad Jamshidmofid;Marjan Goodarzi

  • Application of Nanofluids in Thermal Performance Enhancement of Parabolic Trough Solar Collector: State-of-the-Art

    Hamed Olia;Mohammadamin Torabi;Mehdi Bahiraei;Mohammad Hossein Ahmadi

  • Employing artificial bee colony and particle swarm techniques for optimizing a neural network in prediction of heating and cooling loads of residential buildings

    Guofeng Zhou;Hossein Moayedi;Mehdi Bahiraei;Zongjie Lyu

  • Graphene family nanofluids: A critical review and future research directions

    Mehdi Bahiraei;Saeed Heshmatian

  • Particle migration in nanofluids: A critical review

    Mehdi Bahiraei

  • Experimental and analytical investigations of productivity, energy and exergy efficiency of a single slope solar still enhanced with thermoelectric channel and nanofluid

    Saeed Nazari;Habibollah Safarzadeh;Mehdi Bahiraei

  • Investigating the efficacy of magnetic nanofluid as a coolant in double-pipe heat exchanger in the presence of magnetic field

    Mehdi Bahiraei;Morteza Hangi

  • Application of a novel conical strip insert to improve the efficacy of water-Ag nanofluid for utilization in thermal systems: A two-phase simulation

    Ramin Mashayekhi;Erfan Khodabandeh;Mehdi Bahiraei;Leyli Bahrami

  • Synthesized CuFe2O4/SiO2 nanocomposites added to water/EG: Evaluation of the thermophysical properties beside sensitivity analysis & EANN

    Arash Karimipour;Seyed Amin Bagherzadeh;Marjan Goodarzi;Abdulwahab A. Alnaqi

  • Effect of employing a new biological nanofluid containing functionalized graphene nanoplatelets on thermal and hydraulic characteristics of a spiral heat exchanger

    Mehdi Bahiraei;Hamid Kiani Salmi;Mohammad Reza Safaei

  • Thermal performance and second law characteristics of two new microchannel heat sinks operated with hybrid nanofluid containing graphene–silver nanoparticles

    Mehdi Bahiraei;Saeed Heshmatian

  • Application of a novel biological nanofluid in a liquid block heat sink for cooling of an electronic processor: Thermal performance and irreversibility considerations

    Mehdi Bahiraei;Saeed Heshmatian

  • CFD analysis of thermal and hydrodynamic characteristics of hybrid nanofluid in a new designed sinusoidal double-layered microchannel heat sink

    Ramin Mashayekhi;Erfan Khodabandeh;Omid Ali Akbari;Davood Toghraie

  • Experimental study for developing an accurate model to predict viscosity of CuO–ethylene glycol nanofluid using genetic algorithm based neural network

    Mohammad Hemmat Esfe;Mehdi Bahiraei;Omid Mahian;Omid Mahian

  • Experimental investigation and modeling of thermal conductivity and viscosity for non-Newtonian hybrid nanofluid containing coated CNT/Fe3O4 nanoparticles

    Amin Shahsavar;Mehdi Bahiraei

  • Artificial intelligence in the field of nanofluids: A review on applications and potential future directions

    Mehdi Bahiraei;Saeed Heshmatian;Hossein Moayedi

Frequent Co-Authors

Hossein Moayedi
Hossein Moayedi Duy Tan University
Mohammad Hemmat Esfe
Mohammad Hemmat Esfe Semnan University
Marjan Goodarzi
Marjan Goodarzi Lamar University
Amin Shahsavar
Amin Shahsavar Kermanshah University of Medical Sciences
Mohammad Reza Safaei
Mohammad Reza Safaei Florida International University
Davood Toghraie
Davood Toghraie Islamic Azad University, Tehran
Arash Karimipour
Arash Karimipour Cihan University-Erbil
Omid Mahian
Omid Mahian Ningbo University
Omid Ali Akbari
Omid Ali Akbari Islamic Azad University, Tehran
Somchai Wongwises
Somchai Wongwises King Mongkut's University of Technology Thonburi

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