Farid Taherkhani

679 total citations
46 papers, 564 citations indexed

About

Farid Taherkhani is a scholar working on Materials Chemistry, Atmospheric Science and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Farid Taherkhani has authored 46 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 18 papers in Atmospheric Science and 15 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Farid Taherkhani's work include nanoparticles nucleation surface interactions (18 papers), Material Dynamics and Properties (8 papers) and Theoretical and Computational Physics (8 papers). Farid Taherkhani is often cited by papers focused on nanoparticles nucleation surface interactions (18 papers), Material Dynamics and Properties (8 papers) and Theoretical and Computational Physics (8 papers). Farid Taherkhani collaborates with scholars based in Iran, Germany and Italy. Farid Taherkhani's co-authors include Hamed Akbarzadeh, Mohammad Bagher Gholivand, H. Rezania, Amir Nasser Shamkhali, Alessandro Fortunelli, Maryam Torkashvand, Hadi Abroshan, Gholamabbas Parsafar, Nashmil Karimian and Babak Minofar and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry C and Chemical Physics Letters.

In The Last Decade

Farid Taherkhani

43 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farid Taherkhani Iran 15 296 210 119 99 94 46 564
Amir Nasser Shamkhali Iran 20 476 1.6× 272 1.3× 105 0.9× 120 1.2× 84 0.9× 68 874
M. Laurin Germany 11 323 1.1× 69 0.3× 88 0.7× 65 0.7× 130 1.4× 14 545
Sirous Salemi Iran 14 307 1.0× 157 0.7× 49 0.4× 123 1.2× 100 1.1× 54 587
Biao Meng China 12 397 1.3× 93 0.4× 116 1.0× 47 0.5× 180 1.9× 21 641
Alain Mayaffre France 14 75 0.3× 51 0.2× 67 0.6× 77 0.8× 85 0.9× 27 532
Ricardo R. B. Correia Brazil 14 254 0.9× 18 0.1× 107 0.9× 208 2.1× 190 2.0× 44 745
Chunrong Yin United States 16 625 2.1× 72 0.3× 138 1.2× 107 1.1× 95 1.0× 23 829
Véronique Peyre France 18 201 0.7× 14 0.1× 67 0.6× 240 2.4× 101 1.1× 42 809
Nathalie Tarrat France 16 387 1.3× 89 0.4× 106 0.9× 115 1.2× 176 1.9× 53 729
Jason R. V. Sellers United States 7 653 2.2× 99 0.5× 162 1.4× 140 1.4× 198 2.1× 10 919

Countries citing papers authored by Farid Taherkhani

Since Specialization
Citations

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

Fields of papers citing papers by Farid Taherkhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farid Taherkhani

This figure shows the co-authorship network connecting the top 25 collaborators of Farid Taherkhani. A scholar is included among the top collaborators of Farid Taherkhani 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 Farid Taherkhani. Farid Taherkhani 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.
Taherkhani, Farid. (2024). Size and shapes effect on structural and phonon density of state in Ir nanoparticle and mechanical properties of Ir metal. Computational Materials Science. 237. 112893–112893.
2.
Taherkhani, Farid. (2024). Aluminum-silver nanoalloys supported on a nitrogen-doped edge of bilayer graphite as thermal engineering device for H2 storage. Journal of Alloys and Compounds. 1000. 175037–175037.
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Taherkhani, Farid & Alessandro Fortunelli. (2022). Chemical ordering and temperature effects on the thermal conductivity of Ag–Au and Ag–Pd bimetallic bulk and nanocluster systems. New Journal of Chemistry. 46(40). 19213–19229. 6 indexed citations
6.
Taherkhani, Farid, et al.. (2021). Ir nanocluster shape effects on melting, surface energy and scaling behavior of self-diffusion coefficient near melting temperature. Computational Materials Science. 201. 110935–110935. 2 indexed citations
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Taherkhani, Farid, et al.. (2017). Electrical Conductivity of Methylimidazolium Hexafluorophosphate Ionic Liquid in the Presence of Colloidal Silver Nano Particles with Different Sizes and Temperatures. The Journal of Physical Chemistry C. 121(44). 24434–24443. 9 indexed citations
9.
Akbarzadeh, Hamed, Amir Nasser Shamkhali, & Farid Taherkhani. (2016). Adsorption of He–Ar binary mixture on the silver nanoclusters: A molecular dynamics investigation on the effects mole fraction of mixture, shape and size of the nanocluster. Journal of Molecular Liquids. 216. 111–116. 5 indexed citations
10.
Torkashvand, Maryam, Mohammad Bagher Gholivand, & Farid Taherkhani. (2015). Fabrication of an electrochemical sensor based on computationally designed molecularly imprinted polymer for the determination of mesalamine in real samples. Materials Science and Engineering C. 55. 209–217. 58 indexed citations
11.
Taherkhani, Farid, Hamed Akbarzadeh, Mostafa Feyzi, & Hamid Reza Rafiee. (2015). Disorder effect on heat capacity, self-diffusion coefficient, and choosing best potential model for melting temperature, in gold–copper bimetallic nanocluster with 55 atoms. Journal of Nanoparticle Research. 17(1). 13 indexed citations
12.
Taherkhani, Farid, et al.. (2015). Doping effect on the Janus-like structure of a copper–iron bimetallic nanocluster and its solid–liquid phase transition. Progress of Theoretical and Experimental Physics. 2015(4). 2 indexed citations
13.
Taherkhani, Farid, Hamed Akbarzadeh, & H. Rezania. (2014). Chemical ordering effect on melting temperature, surface energy of copper–gold bimetallic nanocluster. Journal of Alloys and Compounds. 617. 746–750. 27 indexed citations
14.
Taherkhani, Farid, et al.. (2013). Study of two dimensional anisotropic Ising models via a renormalization group approach. Physica A Statistical Mechanics and its Applications. 392(22). 5604–5614. 3 indexed citations
15.
Taherkhani, Farid & H. Rezania. (2012). Temperature and size dependency of thermal conductivity of aluminum nanocluster. Journal of Nanoparticle Research. 14(11). 16 indexed citations
16.
Rezania, H. & Farid Taherkhani. (2012). Polaron effects on the thermal conductivity of zigzag carbon nanotubes. Solid State Communications. 152(18). 1776–1780. 18 indexed citations
17.
Akbarzadeh, Hamed, et al.. (2011). Size dependence and effect of potential parameters on properties of nano-cavities in liquid xenon using molecular dynamics simulation. Chemical Physics. 381(1-3). 44–48. 2 indexed citations
18.
Abroshan, Hadi, Hamed Akbarzadeh, Farid Taherkhani, & Gholamabbas Parsafar. (2010). Effect of a monomeric sequence on the structure of hydrated Nafion in the sandwich model and solvent dynamics in nano-channels: a molecular dynamic study. Molecular Physics. 108(24). 3393–3404. 2 indexed citations
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Taherkhani, Farid, Fábio R. Negreiros, Gholamabbas Parsafar, & Alessandro Fortunelli. (2010). Simulation of vacancy diffusion in a silver nanocluster. Chemical Physics Letters. 498(4-6). 312–316. 12 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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