World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
36
Citations
4132
World Ranking
2578
National Ranking
914

Sara Rostami 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 Sara Rostami 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: 83 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Sara Rostami 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 Sara Rostami 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: 36 D-Index — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Best Publications

  • A review of melting and freezing processes of PCM/nano-PCM and their application in energy storage

    Sara Rostami;Masoud Afrand;Amin Shahsavar;M. Sheikholeslami

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

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

  • First approach on nanofluid-based solar still in high altitude for water desalination and solar water disinfection (SODIS)

    Seyed Masoud Parsa;Amir Rahbar;M.H. Koleini;Y. Davoud Javadi

  • Measurement of the thermal conductivity of MWCNT-CuO/water hybrid nanofluid using artificial neural networks (ANNs)

    Sara Rostami;Davood Toghraie;Behrooz Shabani;Nima Sina

  • 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

  • A Review on the Control Parameters of Natural Convection in Different Shaped Cavities with and without Nanofluid

    Sara Rostami;Saeed Aghakhani;Ahmad Hajatzadeh Pordanjani;Masoud Afrand

  • A techno-economic investigation of 2D and 3D configurations of fins and their effects on heat sink efficiency of MHD hybrid nanofluid with slip and non-slip flow

    Man-Wen Tian;Sara Rostami;Saeed Aghakhani;Aysan Shahsavar Goldanlou

  • Investigation of thermal properties of DNA structure with precise atomic arrangement via equilibrium and non-equilibrium molecular dynamics approaches.

    Nitasha Adavoodi Jolfaei;Niyusha Adavoodi Jolfaei;Maboud Hekmatifar;Anahita Piranfar

  • Effect of induced electric field on magneto-natural convection in a vertical cylindrical annulus filled with liquid potassium

    Masoud Afrand;Sara Rostami;Mohammad Akbari;Somchai Wongwises

  • Forecasting the thermal conductivity of a nanofluid using artificial neural networks

    Sara Rostami;Rasool Kalbasi;Nima Sina;Aysan Shahsavar Goldanlou

  • Improving the thermal conductivity of ethylene glycol by addition of hybrid nano-materials containing multi-walled carbon nanotubes and titanium dioxide: applicable for cooling and heating

    Sara Rostami;Rasool Kalbasi;Mohsen Talebkeikhah;Aysan Shahsavar Goldanlou

  • Ultra‐Flyweight Cryogels of MXene/Graphene Oxide for Electromagnetic Interference Shielding

    Unknown

  • Molecular dynamics simulation of Doxorubicin loading with N-isopropyl acrylamide carbon nanotube in a drug delivery system.

    Reza Maleki;Hamid Hassanzadeh Afrouzi;Mirollah Hosseini;Davood Toghraie

  • Predict the thermal conductivity of SiO 2 /water–ethylene glycol (50:50) hybrid nanofluid using artificial neural network

    Sara Rostami;Davood Toghraie;Masihollah Ahmadi Esfahani;Maboud Hekmatifar

  • Exergy Optimization of a Solar Collector in Flat Plate Shape Equipped with Elliptical Pipes Filled with Turbulent Nanofluid Flow: A Study for Thermal Management

    Sara Rostami;Mohammad Sepehrirad;Amin Dezfulizadeh;Ahmed Kadhim Hussein

  • Molecular dynamics simulation of Water-Copper nanofluid flow in a three-dimensional nanochannel with different types of surface roughness geometry for energy economic management

    Shu-Rong Yan;Davood Toghraie;Maboud Hekmatifar;Mehdi Miansari

  • A transient heat and mass transfer CFD simulation for proton exchange membrane fuel cells (PEMFC) with a dead-ended anode channel

    Yeping Peng;Hamed Moradi Mahyari;Abouzar Moshfegh;Abouzar Moshfegh;Ashkan Javadzadegan;Ashkan Javadzadegan

  • Calculation of the thermal conductivity of human serum albumin (HSA) with equilibrium/non-equilibrium molecular dynamics approaches.

    Abbas Zarenezhad Ashkezari;Nitasha Adavoodi Jolfaei;Niyusha Adavoodi Jolfaei;Maboud Hekmatifar

  • Blood flow analysis inside different arteries using non-Newtonian Sisko model for application in biomedical engineering.

    Davood Toghraie;Navid Nasajpour Esfahani;Majid Zarringhalam;Nima Shirani

  • Sensitivity of AHU power consumption to PCM implementation in the wall-considering the solar radiation

    Arya Nariman;Rasool Kalbasi;Sara Rostami

Frequent Co-Authors

Davood Toghraie
Davood Toghraie Islamic Azad University, Tehran
Rasool Kalbasi
Rasool Kalbasi Islamic Azad University of Najafabad
Amin Shahsavar
Amin Shahsavar Kermanshah University of Medical Sciences
Masoud Afrand
Masoud Afrand Islamic Azad University of Najafabad
Arash Karimipour
Arash Karimipour Cihan University-Erbil
Mohsen Sharifpur
Mohsen Sharifpur University of the Witwatersrand
Cong Qi
Cong Qi China University of Mining and Technology
Abdullah A.A.A. Al-Rashed
Abdullah A.A.A. Al-Rashed Public Authority for Applied Education and Training
Hakan F. Oztop
Hakan F. Oztop Fırat University

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Related Online Degrees & Career Pathways

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When exploring graduate schools for speech-language pathology, it's important to know how many slp grad schools should i apply to to increase your chances of admission. For those aiming for smoother entry, the easiest online slp programs to get into present practical options.

Combining engineering with these online degrees can diversify your skillset, enhancing employability in multidisciplinary fields like human factors engineering, rehabilitation technology, and more.

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