M. H. Kayhani

83 total papers · 1.4k total citations
66 papers, 1.2k citations indexed

About

M. H. Kayhani is a scholar working on Computational Mechanics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, M. H. Kayhani has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computational Mechanics, 22 papers in Biomedical Engineering and 17 papers in Mechanical Engineering. Recurrent topics in M. H. Kayhani's work include Lattice Boltzmann Simulation Studies (22 papers), Nanofluid Flow and Heat Transfer (15 papers) and Rheology and Fluid Dynamics Studies (14 papers). M. H. Kayhani is often cited by papers focused on Lattice Boltzmann Simulation Studies (22 papers), Nanofluid Flow and Heat Transfer (15 papers) and Rheology and Fluid Dynamics Studies (14 papers). M. H. Kayhani collaborates with scholars based in Iran, United States and South Korea. M. H. Kayhani's co-authors include Mohsen Nazari, Amin Amiri Delouei, Mahmood Norouzi, Rasul Mohebbi, Hamidreza Soltanzadeh, Farshad Kowsary, Mohammad Mahdi Heyhat, Sauro Succi, Goodarz Ahmadi and M.R.H. Nobari and has published in prestigious journals such as Scientific Reports, Applied Energy and International Journal of Hydrogen Energy.

In The Last Decade

M. H. Kayhani

61 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. H. Kayhani	717	554	408	235	180	66	1.2k
Yanuar Yanuar	502 0.7×	301 0.5×	394 1.0×	113 0.5×	141 0.8×	96	1.1k
Mohsen Davazdah Emami	306 0.4×	434 0.8×	780 1.9×	397 1.7×	77 0.4×	46	1.1k
Sandra K. S. Boetcher	435 0.6×	338 0.6×	508 1.2×	84 0.4×	93 0.5×	77	1.0k
Mohammad Yaghoub Abdollahzadeh Jamalabadi	358 0.5×	363 0.7×	326 0.8×	211 0.9×	57 0.3×	79	931
Mohammad Mohsen Shahmardan	493 0.7×	565 1.0×	463 1.1×	93 0.4×	44 0.2×	64	1.0k
Madeeha Tahir	644 0.9×	700 1.3×	547 1.3×	139 0.6×	90 0.5×	45	1.1k
G.A. Quadir	336 0.5×	596 1.1×	609 1.5×	105 0.4×	97 0.5×	56	1.1k
S. H. Mansouri	482 0.7×	176 0.3×	374 0.9×	128 0.5×	71 0.4×	65	1.0k
Alireza Hossein Nezhad	519 0.7×	783 1.4×	813 2.0×	149 0.6×	49 0.3×	38	1.3k
Andreas N. Alexandrou	552 0.8×	214 0.4×	355 0.9×	101 0.4×	199 1.1×	64	1.2k

Countries citing papers authored by M. H. Kayhani

Since Specialization

Citations

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

Fields of papers citing papers by M. H. Kayhani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. H. Kayhani

This figure shows the co-authorship network connecting the top 25 collaborators of M. H. Kayhani. A scholar is included among the top collaborators of M. H. Kayhani 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. H. Kayhani. M. H. Kayhani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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