Mohammad Akbari

5.2k total citations · 1 hit paper
84 papers, 4.6k citations indexed

About

Mohammad Akbari is a scholar working on Mechanical Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Mohammad Akbari has authored 84 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Mechanical Engineering, 51 papers in Biomedical Engineering and 24 papers in Computational Mechanics. Recurrent topics in Mohammad Akbari's work include Nanofluid Flow and Heat Transfer (44 papers), Heat Transfer Mechanisms (27 papers) and Heat Transfer and Optimization (23 papers). Mohammad Akbari is often cited by papers focused on Nanofluid Flow and Heat Transfer (44 papers), Heat Transfer Mechanisms (27 papers) and Heat Transfer and Optimization (23 papers). Mohammad Akbari collaborates with scholars based in Iran, Vietnam and China. Mohammad Akbari's co-authors include Masoud Afrand, Arash Karimipour, Mohammad Hemmat Esfe, Davood Toghraie, Omid Soltani, Wei‐Mon Yan, Somchai Wongwises, Annunziata D’Orazio, Mehrdad Bahrami and Mohammad Reza Safaei and has published in prestigious journals such as Scientific Reports, International Journal of Heat and Mass Transfer and Fuel.

In The Last Decade

Mohammad Akbari

80 papers receiving 4.5k citations

Hit Papers

Effects of temperature and solid volume fraction on visco... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammad Akbari Iran 39 3.4k 3.1k 998 815 636 84 4.6k
Seyfolah Saedodin Iran 36 3.7k 1.1× 3.6k 1.2× 984 1.0× 1.2k 1.4× 564 0.9× 120 5.1k
Ali Akbar Abbasian Arani Iran 35 3.7k 1.1× 3.3k 1.1× 1.1k 1.1× 811 1.0× 344 0.5× 101 4.5k
Ahmet Selim Dalkılıç Türkiye 38 2.5k 0.7× 3.6k 1.2× 911 0.9× 580 0.7× 378 0.6× 232 5.2k
Kin Yuen Leong Malaysia 24 2.8k 0.8× 2.7k 0.9× 691 0.7× 1.3k 1.6× 496 0.8× 40 4.2k
Rasool Kalbasi Iran 43 2.0k 0.6× 3.2k 1.0× 509 0.5× 1.8k 2.2× 481 0.8× 92 4.6k
Omid Ali Akbari Iran 48 5.1k 1.5× 5.3k 1.7× 2.2k 2.2× 944 1.2× 461 0.7× 122 6.9k
Nicolas Galanis Canada 38 5.4k 1.6× 6.1k 2.0× 2.3k 2.3× 1.4k 1.7× 391 0.6× 160 8.1k
Seyed Hassan Hashemabadi Iran 32 2.3k 0.7× 2.0k 0.6× 1.4k 1.4× 350 0.4× 336 0.5× 132 4.1k
Mohamed Ali Saudi Arabia 43 3.8k 1.1× 3.3k 1.1× 2.6k 2.6× 268 0.3× 705 1.1× 130 5.6k
Majid Siavashi Iran 47 3.5k 1.0× 3.9k 1.3× 2.5k 2.5× 1.3k 1.6× 1.0k 1.6× 126 6.3k

Countries citing papers authored by Mohammad Akbari

Since Specialization
Citations

This map shows the geographic impact of Mohammad Akbari's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad Akbari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Akbari more than expected).

Fields of papers citing papers by Mohammad Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Akbari. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad Akbari. The network helps show where Mohammad Akbari may publish in the future.

Co-authorship network of co-authors of Mohammad Akbari

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Akbari. A scholar is included among the top collaborators of Mohammad Akbari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad Akbari. Mohammad Akbari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Akbari, Mohammad, et al.. (2025). Experimental and numerical study of dissimilar laser welding characterisation of ASTM B637 and duplex 2205. Materials Chemistry and Physics. 340. 130844–130844.
2.
Akbari, Mohammad, et al.. (2025). Optimizing thermophysical properties of non-Newtonian nano-refrigerants for refrigeration systems using machine learning approaches. International Journal of Refrigeration. 179. 420–431.
3.
Azimy, Hamidreza, et al.. (2024). Influence of rotating magnetic field on thermal field and entropy generation of a tube containing the nanofluid using mixture model. Alexandria Engineering Journal. 106. 367–379. 1 indexed citations
4.
Abbasian, Ahmad Reza, Hamidreza Azimy, Mohammad Akbari, et al.. (2024). Experimental study of preparing the CoFe2O4 magnetic nanofluid and measuring thermal-fluid characteristics of the stabilized magnetocaloric nanofluid. Materials Science and Engineering B. 306. 117462–117462. 7 indexed citations
5.
Akbari, Mohammad, et al.. (2024). Hybrid modeling and optimization of fiber laser hole cutting of austenitic stainless-steel sheets using response surface. Laser Physics. 34(4). 45602–45602. 2 indexed citations
6.
Akbari, Mohammad, Saeed Daneshmand, Mohammad Heydari, & Hamidreza Azimy. (2024). Effect of roasting process on the V (anti-tumor agent) recovery from the slag of the electric arc furnace (EAF). Heliyon. 10(11). e31986–e31986. 1 indexed citations
8.
Akbari, Mohammad, et al.. (2023). The effect of alphabet-shaped twisted tape on thermo-fluidic properties in a shell-tube type heat exchanger: A comparative study utilizing a two-phase mixture model. Engineering Analysis with Boundary Elements. 159. 122–137. 7 indexed citations
9.
Rezaei, Farzaneh, et al.. (2023). Compositional modeling of gas-condensate viscosity using ensemble approach. Scientific Reports. 13(1). 9659–9659. 4 indexed citations
10.
Chen, Zhixiong, et al.. (2020). A new correlation for predicting the thermal conductivity of liquid refrigerants. Journal of Thermal Analysis and Calorimetry. 143(1). 795–800. 10 indexed citations
13.
Kalbasi, Rasool, et al.. (2019). Analytical Solution of Heat Conduction in a Symmetrical Cylinder Using the Solution Structure Theorem and Superposition Technique. Symmetry. 11(12). 1522–1522. 5 indexed citations
15.
Akbari, Mohammad, et al.. (2017). New experimental correlation for the thermal conductivity of ethylene glycol containing Al2O3–Cu hybrid nanoparticles. Journal of Thermal Analysis and Calorimetry. 131(2). 1605–1613. 70 indexed citations
16.
Afrand, Masoud, et al.. (2016). Effects of temperature and solid volume fraction on viscosity of SiO2-MWCNTs/SAE40 hybrid nanofluid as a coolant and lubricant in heat engines. Applied Thermal Engineering. 102. 45–54. 280 indexed citations breakdown →
17.
Esfe, Mohammad Hemmat, Arash Karimipour, Wei‐Mon Yan, et al.. (2015). Experimental study on thermal conductivity of ethylene glycol based nanofluids containing Al 2 O 3 nanoparticles. International Journal of Heat and Mass Transfer. 88. 728–734. 185 indexed citations
18.
Esfe, Mohammad Hemmat, Somchai Wongwises, Amin Asadi, Arash Karimipour, & Mohammad Akbari. (2014). Mandatory and Self-citation; Types, Reasons, Their Benefits and Disadvantages. Science and Engineering Ethics. 21(6). 1581–1585. 13 indexed citations
19.
Akbari, Mohammad, et al.. (2013). ANALYTICAL SOLUTION OF NON-FOURIER HEAT CONDUCTION PROBLEM ON A SLAB UNDER CONVECTION BOUNDARY CONDITIONS. 11(32). 69–81.
20.
Ratnayake, R. M. Chandima, et al.. (2007). A SVM based Method to Detect Color Shift Defects in IC Packages. Machine Vision and Applications. 138–141. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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