Prof. Azizollah Shafiekhani | Physics | Best Innovation Award

Faculty member | Alzahra University | Iran

Prof. Azizollah Shafiekhani is a distinguished physicist and nanoscience researcher at the Department of Theoretical Physics and Nanophysics, Alzahra University, widely recognized for his influential contributions to nanomaterials, surface physics, graphene-based systems, quantum dots, plasmonics, thin films, and photoelectrochemical applications. His research interests span nanophysics, nanostructured materials, graphene spintronics, photocatalysis, biosensors, quantum nanostructures, and advanced surface characterization techniques, addressing both fundamental science and applied technologies. Prof. Shafiekhani’s research skills include theoretical modeling, nanomaterial synthesis, surface and interface analysis, XPS, AFM-based micromorphology, fractal analysis, and interdisciplinary experimental–computational approaches. His scholarly impact is reflected in 2,693 Scopus citations, 49+ indexed documents, and a strong h-index of 24, underscoring sustained international influence. Through prolific publications, high-impact collaborations, and academic recognition, he has earned several professional honors and continues to advance nanophysics research, fostering innovation, mentorship, and global scientific collaboration with lasting impact on materials science and applied physics.

Citation Metrics (Google Scholar)

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Citations

2,693

i10-index

49

h-index

24

Citations

i10-index

h-index

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Featured Publications


XPS study of the Cu@Cu₂O core–shell nanoparticles


– Applied Surface Science, 2008 (Citations: 810)


Study of surface plasmon resonance of Cu@Cu₂O core–shell nanoparticles by Mie theory


– Journal of Physics D: Applied Physics, 2008 (Citations: 111)


Microstructure and tribological properties of FeNPs@aC:H films


– Industrial & Engineering Chemistry Research, 2015 (Citations: 91)


Graphene / Li-ion battery


– Journal of Applied Physics, 2012 (Citations: 88)

 

Azizollah Shafiekhani | Physics | Best Innovation Award

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