M. Esmkhani

661 total citations
20 papers, 543 citations indexed

About

M. Esmkhani is a scholar working on Mechanics of Materials, Polymers and Plastics and Mechanical Engineering. According to data from OpenAlex, M. Esmkhani has authored 20 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanics of Materials, 11 papers in Polymers and Plastics and 10 papers in Mechanical Engineering. Recurrent topics in M. Esmkhani's work include Carbon Nanotubes in Composites (9 papers), Mechanical Behavior of Composites (9 papers) and Tribology and Wear Analysis (7 papers). M. Esmkhani is often cited by papers focused on Carbon Nanotubes in Composites (9 papers), Mechanical Behavior of Composites (9 papers) and Tribology and Wear Analysis (7 papers). M. Esmkhani collaborates with scholars based in Iran, China and United States. M. Esmkhani's co-authors include M.M. Shokrieh, Zhen Zhao, Hamidreza Shahverdi, Fathollah Taheri‐Behrooz, A.A. Ranjbar, Hamid Reza Shahverdi and Mohammad Danesh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Carbon and Journal of Materials Science.

In The Last Decade

M. Esmkhani

20 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Esmkhani Iran 11 279 277 195 178 97 20 543
Hossein Golestanian Iran 16 379 1.4× 417 1.5× 145 0.7× 193 1.1× 102 1.1× 46 666
Vasyl Harik United States 10 293 1.1× 377 1.4× 90 0.5× 118 0.7× 119 1.2× 27 634
Addis Tessema United States 12 214 0.8× 147 0.5× 94 0.5× 126 0.7× 49 0.5× 19 373
Yoshiki Sugimoto Japan 13 139 0.5× 245 0.9× 111 0.6× 224 1.3× 56 0.6× 35 425
Ghanshyam Pal India 8 125 0.4× 194 0.7× 76 0.4× 68 0.4× 89 0.9× 14 347
F. De Nicola Italy 10 141 0.5× 119 0.4× 90 0.5× 185 1.0× 48 0.5× 21 396
Jeonyoon Lee United States 11 119 0.4× 216 0.8× 97 0.5× 163 0.9× 97 1.0× 31 438
Steven J. DeTeresa United States 11 273 1.0× 84 0.3× 175 0.9× 220 1.2× 37 0.4× 20 435
Brian Shonkwiler United States 12 217 0.8× 236 0.9× 53 0.3× 117 0.7× 81 0.8× 22 629
David Shia United States 8 196 0.7× 107 0.4× 243 1.2× 124 0.7× 55 0.6× 20 509

Countries citing papers authored by M. Esmkhani

Since Specialization
Citations

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

Fields of papers citing papers by M. Esmkhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Esmkhani

This figure shows the co-authorship network connecting the top 25 collaborators of M. Esmkhani. A scholar is included among the top collaborators of M. Esmkhani 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 M. Esmkhani. M. Esmkhani 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.
Esmkhani, M., et al.. (2021). Effect of hybrid thermal cycling shocks on the mechanicalproperties of structural composites. STRUCTURAL ENGINEERING AND MECHANICS. 79(3). 301. 1 indexed citations
2.
Esmkhani, M., et al.. (2021). Effect of hybrid thermal cycling and shock on flexural properties of nanoclay/glass/epoxy nanocomposites. Polymers and Polymer Composites. 29(9_suppl). S600–S610. 2 indexed citations
3.
Taheri‐Behrooz, Fathollah, et al.. (2019). Effect of testing procedure on the in-plane shear properties of CNF/glass/epoxy composites. Polymers and Polymer Composites. 28(3). 159–169. 10 indexed citations
4.
Shokrieh, M.M., et al.. (2017). Flexural fatigue modeling of short fibers/epoxy composites. STRUCTURAL ENGINEERING AND MECHANICS. 64(3). 287. 1 indexed citations
5.
Taheri‐Behrooz, Fathollah, et al.. (2016). Out-of-plane shear properties of glass/epoxy composites enhanced with carbon-nanofibers. Polymer Testing. 55. 278–286. 15 indexed citations
6.
Shahverdi, Hamidreza, et al.. (2015). Effects of carbon nanotube content on the mechanical and electrical properties of epoxy-based composites. Carbon. 85. 445–445. 4 indexed citations
7.
Shokrieh, M.M., Mohammad Danesh, & M. Esmkhani. (2015). A combined micromechanical-energy method to predict the fatigue life of nanoparticles/chopped strand mat/polymer hybrid nanocomposites. Composite Structures. 133. 886–891. 7 indexed citations
8.
Shokrieh, M.M., et al.. (2014). Mechanical Properties of Graphene/Epoxy Nanocomposites under Static and Flexural Fatigue Loadings. SHILAP Revista de lepidopterología. 1(1). 1–7. 9 indexed citations
9.
Shokrieh, M.M., et al.. (2014). Flexural fatigue behavior of synthesized graphene/carbon-nanofiber/epoxy hybrid nanocomposites. Materials & Design (1980-2015). 62. 401–408. 54 indexed citations
10.
Shahverdi, Hamidreza, et al.. (2014). Effects of carbon nanotube content on the mechanical and electrical properties of epoxy-based composites. New Carbon Materials. 29(6). 419–425. 41 indexed citations
11.
Shokrieh, M.M., et al.. (2014). Stiffness prediction of graphene nanoplatelet/epoxy nanocomposites by a combined molecular dynamics–micromechanics method. Computational Materials Science. 92. 444–450. 114 indexed citations
12.
Shokrieh, M.M., et al.. (2014). Flexural fatigue behaviour of carbon nanofiber/epoxy nanocomposites. Fatigue & Fracture of Engineering Materials & Structures. 37(5). 553–560. 7 indexed citations
13.
Shokrieh, M.M., et al.. (2014). Effects of graphene nanoplatelets and graphene nanosheets on fracture toughness of epoxy nanocomposites. Fatigue & Fracture of Engineering Materials & Structures. 37(10). 1116–1123. 103 indexed citations
14.
Shokrieh, M.M., M. Esmkhani, & Fathollah Taheri‐Behrooz. (2013). A novel model to predict the fatigue life of thermoplastic nanocomposites. Journal of Thermoplastic Composite Materials. 28(11). 1496–1506. 12 indexed citations
15.
Esmkhani, M., et al.. (2013). Composite locomotive frontend analysis and optimization using genetic algorithm. STRUCTURAL ENGINEERING AND MECHANICS. 47(5). 729–740. 2 indexed citations
16.
Shokrieh, M.M., et al.. (2013). Effect of Graphene Nanosheets (GNS) and Graphite Nanoplatelets (GNP) on the Mechanical Properties of Epoxy Nanocomposites. Science of Advanced Materials. 5(3). 260–266. 66 indexed citations
17.
Shokrieh, M.M., et al.. (2013). Improvement of mechanical and electrical properties of epoxy resin with carbon nanofibers. Iranian Polymer Journal. 22(10). 721–727. 36 indexed citations
18.
Shokrieh, M.M., et al.. (2013). Displacement-controlled flexural bending fatigue behavior of graphene/epoxy nanocomposites. Journal of Composite Materials. 48(24). 2935–2944. 14 indexed citations
19.
Shokrieh, M.M. & M. Esmkhani. (2012). Fatigue life prediction of nanoparticle/fibrous polymeric composites based on the micromechanical and normalized stiffness degradation approaches. Journal of Materials Science. 48(3). 1027–1034. 15 indexed citations
20.
Ranjbar, A.A., et al.. (2006). Simultaneous estimation of temperature-dependent thermal conductivity and heat capacity based on modified genetic algorithm. Inverse Problems in Science and Engineering. 14(7). 767–783. 30 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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