J. M. Khodadadi

7.4k total citations · 3 hit papers
105 papers, 6.3k citations indexed

About

J. M. Khodadadi is a scholar working on Mechanical Engineering, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, J. M. Khodadadi has authored 105 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Mechanical Engineering, 53 papers in Computational Mechanics and 47 papers in Biomedical Engineering. Recurrent topics in J. M. Khodadadi's work include Nanofluid Flow and Heat Transfer (43 papers), Phase Change Materials Research (38 papers) and Fluid Dynamics and Turbulent Flows (27 papers). J. M. Khodadadi is often cited by papers focused on Nanofluid Flow and Heat Transfer (43 papers), Phase Change Materials Research (38 papers) and Fluid Dynamics and Turbulent Flows (27 papers). J. M. Khodadadi collaborates with scholars based in United States, Iraq and Taiwan. J. M. Khodadadi's co-authors include Li‐Wu Fan, S.F. Hosseinizadeh, Nabeel S. Dhaidan, Hasan Babaei, Xundan Shi, Ahmad Pesaran, F.L. Tan, Tahseen A. Al-Hattab, Pawel Keblinski and Robert L. Jackson and has published in prestigious journals such as Applied Physics Letters, Renewable and Sustainable Energy Reviews and Journal of Applied Physics.

In The Last Decade

J. M. Khodadadi

103 papers receiving 6.1k citations

Hit Papers

Thermal conductivity enhancement of phase change material... 2007 2026 2013 2019 2010 2007 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. M. Khodadadi United States 34 5.0k 2.7k 1.7k 1.0k 891 105 6.3k
A.A. Ranjbar Iran 45 3.8k 0.8× 2.9k 1.1× 1.6k 0.9× 617 0.6× 563 0.6× 137 5.4k
K.C. Leong Singapore 37 4.8k 1.0× 1.1k 0.4× 3.7k 2.1× 2.2k 2.1× 627 0.7× 135 7.0k
Y.L. He China 39 3.7k 0.7× 2.3k 0.8× 1.3k 0.7× 1.2k 1.2× 389 0.4× 109 5.8k
Majid Bahrami Canada 47 2.8k 0.6× 1.3k 0.5× 984 0.6× 1.1k 1.0× 1.4k 1.5× 267 6.3k
Majid Siavashi Iran 47 3.9k 0.8× 1.3k 0.5× 3.5k 2.0× 2.5k 2.5× 327 0.4× 126 6.3k
K.V. Sharma India 48 5.3k 1.0× 1.7k 0.6× 5.7k 3.3× 1.2k 1.2× 604 0.7× 170 7.4k
Y.B. Tao China 32 3.0k 0.6× 2.4k 0.9× 659 0.4× 531 0.5× 448 0.5× 83 4.4k
Liu Yang China 36 2.5k 0.5× 1.4k 0.5× 2.3k 1.3× 527 0.5× 393 0.4× 90 3.8k
Seyfolah Saedodin Iran 36 3.6k 0.7× 1.2k 0.4× 3.7k 2.1× 984 1.0× 360 0.4× 120 5.1k
Anthony M. Jacobi United States 50 6.2k 1.2× 590 0.2× 2.2k 1.3× 3.4k 3.3× 602 0.7× 258 8.6k

Countries citing papers authored by J. M. Khodadadi

Since Specialization
Citations

This map shows the geographic impact of J. M. Khodadadi'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 J. M. Khodadadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. Khodadadi more than expected).

Fields of papers citing papers by J. M. Khodadadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Khodadadi. 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 J. M. Khodadadi. The network helps show where J. M. Khodadadi may publish in the future.

Co-authorship network of co-authors of J. M. Khodadadi

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Khodadadi. A scholar is included among the top collaborators of J. M. Khodadadi 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 J. M. Khodadadi. J. M. Khodadadi 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
2.
Teggar, Mohamed, et al.. (2024). Comprehensive effective thermal conductivity correlation and fast model for the melting of a phase change material inside a horizontal shell-and-tube unit. Applied Thermal Engineering. 257. 124497–124497. 1 indexed citations
3.
Fan, Li‐Wu, et al.. (2024). Thermal conductivity of soil: A review on the vast experimental data and predictive models. International Journal of Thermal Sciences. 208. 109486–109486. 8 indexed citations
5.
Babaei, Hasan, et al.. (2021). Interfacial thermal conductance between multi-layer graphene sheets and solid/liquid octadecane: A molecular dynamics study. Journal of Energy Storage. 37. 102469–102469. 14 indexed citations
6.
Hu, Shih-Cheng, et al.. (2018). Impact of an oscillating guide vane on the thermo-hydraulic fields in a square cavity with single inlet and outlet ports. International Journal of Heat and Mass Transfer. 128. 1184–1200. 9 indexed citations
7.
Nabil, Mahdi & J. M. Khodadadi. (2017). Computational/analytical study of the transient hot wire-based thermal conductivity measurements near phase transition. International Journal of Heat and Mass Transfer. 111. 895–907. 11 indexed citations
8.
Hossain, Mohammad Sharif, et al.. (2016). Experimental determination of temperature-dependent thermal conductivity of solid eicosane-based silver nanostructure-enhanced phase change materials for thermal energy storage. International Journal of Heat and Mass Transfer. 107. 697–711. 101 indexed citations
9.
Babaei, Hasan, Pawel Keblinski, & J. M. Khodadadi. (2013). Improvement in thermal conductivity of paraffin by adding high aspect-ratio carbon-based nano-fillers. Physics Letters A. 377(19-20). 1358–1361. 66 indexed citations
10.
11.
Babaei, Hasan, Pawel Keblinski, & J. M. Khodadadi. (2013). A proof for insignificant effect of Brownian motion-induced micro-convection on thermal conductivity of nanofluids by utilizing molecular dynamics simulations. Journal of Applied Physics. 113(8). 48 indexed citations
12.
Babaei, Hasan, Pawel Keblinski, & J. M. Khodadadi. (2012). Thermal conductivity enhancement of paraffins by increasing the alignment of molecules through adding CNT/graphene. International Journal of Heat and Mass Transfer. 58(1-2). 209–216. 204 indexed citations
13.
Fan, Li‐Wu & J. M. Khodadadi. (2011). Experimental Verification of Expedited Freezing of Nanoparticle-Enhanced Phase Change Materials (NEPCM). ASME/JSME 2011 8th Thermal Engineering Joint Conference. 8 indexed citations
14.
Khodadadi, J. M., et al.. (1997). EFFECTS OF BUOYANCY-DRIVEN CONVECTION ON MELTING WITHIN SPHERES. 1–8. 1 indexed citations
15.
Lan, Xin, et al.. (1995). Numerical Study of Melting of Large-Diameter Crystals Using an Orbital Solar Concentrator. Journal of Solar Energy Engineering. 117(2). 67–74. 1 indexed citations
16.
Khodadadi, J. M., et al.. (1994). Mathematical and physical modeling studies of molten aluminum flow in a tundish. Metallurgical and Materials Transactions B. 25(5). 669–680. 7 indexed citations
17.
Khodadadi, J. M., et al.. (1992). Fluid Flow Through a Porous Medium Channel With Permeable Walls. Journal of Fluids Engineering. 114(1). 124–126. 1 indexed citations
18.
Khodadadi, J. M. & N. S. Vlachos. (1987). Computation of confined swirling flows - Effects of boundary conditions and turbulence model. 5. 458–469. 1 indexed citations
19.
Khodadadi, J. M., et al.. (1986). Laminar Forced Convective Heat Transfer in a Two-Dimensional 90° Bifurcation. Numerical Heat Transfer Part B Fundamentals. 9(6). 677–695. 1 indexed citations
20.
Chato, J. C., J. M. Khodadadi, & J. Seyed-Yagoobi. (1984). Optimation of cooled shields in insulations. 1 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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