Peyman Mayeli

877 total citations
31 papers, 727 citations indexed

About

Peyman Mayeli is a scholar working on Computational Mechanics, Biomedical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Peyman Mayeli has authored 31 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 10 papers in Biomedical Engineering and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Peyman Mayeli's work include Fluid Dynamics and Turbulent Flows (12 papers), Nanofluid Flow and Heat Transfer (10 papers) and Nonlinear Waves and Solitons (7 papers). Peyman Mayeli is often cited by papers focused on Fluid Dynamics and Turbulent Flows (12 papers), Nanofluid Flow and Heat Transfer (10 papers) and Nonlinear Waves and Solitons (7 papers). Peyman Mayeli collaborates with scholars based in Iran, Australia and China. Peyman Mayeli's co-authors include K. Hosseini, R. Ansari, Gregory J. Sheard, Dipankar Kumar, Ali Ashrafizadeh, Mehdi Nikfar, Özkan Güner, Mahdi Nili‐Ahmadabadi, Ahmet Bekir and Amin Haghighi Poshtiri and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Heat and Mass Transfer and Solar Energy.

In The Last Decade

Peyman Mayeli

28 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peyman Mayeli Iran 14 362 289 188 144 119 31 727
Raseelo J. Moitsheki South Africa 17 151 0.4× 136 0.5× 197 1.0× 346 2.4× 445 3.7× 56 687
Muhammad Umer Sohail Pakistan 12 83 0.2× 91 0.3× 123 0.7× 202 1.4× 161 1.4× 55 456
Ramakanta Meher India 15 96 0.3× 347 1.2× 185 1.0× 281 2.0× 282 2.4× 90 699
Jamel Bouslimi Saudi Arabia 15 82 0.2× 92 0.3× 165 0.9× 253 1.8× 216 1.8× 27 502
Fathi M. Allan United Arab Emirates 12 75 0.2× 309 1.1× 156 0.8× 211 1.5× 86 0.7× 23 504
Abdoul R. Ghotbi Iran 12 52 0.1× 234 0.8× 69 0.4× 159 1.1× 85 0.7× 18 385
M. T. Mustafa Qatar 22 116 0.3× 73 0.3× 585 3.1× 827 5.7× 716 6.0× 70 1.3k
M.A. Polo-Labarrios Mexico 12 78 0.2× 208 0.7× 80 0.4× 14 0.1× 84 0.7× 30 440
E.-G. Espinosa–Martínez Mexico 10 46 0.1× 168 0.6× 86 0.5× 19 0.1× 90 0.8× 25 393
Po-Wei Li China 18 69 0.2× 86 0.3× 419 2.2× 69 0.5× 46 0.4× 40 872

Countries citing papers authored by Peyman Mayeli

Since Specialization
Citations

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

Fields of papers citing papers by Peyman Mayeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peyman Mayeli

This figure shows the co-authorship network connecting the top 25 collaborators of Peyman Mayeli. A scholar is included among the top collaborators of Peyman Mayeli 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 Peyman Mayeli. Peyman Mayeli 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.
2.
Mayeli, Peyman, et al.. (2023). Psychometric properties of the Persian version of the pandemic grief scale. 2. 7 indexed citations
3.
Mayeli, Peyman & Gregory J. Sheard. (2023). Weakly nonlinear bifurcation behaviour at the onset of instability in horizontal convection using an advective buoyancy approximation. International Communications in Heat and Mass Transfer. 149. 107134–107134.
4.
Mayeli, Peyman, et al.. (2022). Psychometric Properties of the Persian Version of the Inventory of Complicated Grief. OMEGA - Journal of Death and Dying. 90(1). 302–317. 10 indexed citations
5.
Mayeli, Peyman & Gregory J. Sheard. (2021). A simplified and efficient Gay-Lussac approach for non-Boussinesq treatment of natural convection problems. Numerical Heat Transfer Part B Fundamentals. 80(5-6). 115–135. 3 indexed citations
6.
Mayeli, Peyman & Gregory J. Sheard. (2021). An efficient and simplified Gay‐Lussac approach in secondary variables form for the non‐Boussinesq simulation of free convection problems. International Journal for Numerical Methods in Fluids. 93(11). 3264–3279. 3 indexed citations
7.
Mayeli, Peyman & Gregory J. Sheard. (2021). Buoyancy-driven flows beyond the Boussinesq approximation: A brief review. International Communications in Heat and Mass Transfer. 125. 105316–105316. 87 indexed citations
8.
Mayeli, Peyman, et al.. (2021). Linear stability analysis of horizontal convection under a Gay-Lussac type approximation. International Journal of Heat and Mass Transfer. 182. 121929–121929. 5 indexed citations
9.
Mayeli, Peyman & Gregory J. Sheard. (2020). A centrifugal buoyancy formulation for Boussinesq‐type natural convection flows applied to the annulus cavity problem. International Journal for Numerical Methods in Fluids. 93(3). 683–702. 9 indexed citations
10.
Mayeli, Peyman & Mehdi Nikfar. (2019). Temperature identification of a heat source in conjugate heat transfer problems via an inverse analysis. International Journal of Numerical Methods for Heat & Fluid Flow. 29(10). 3994–4010. 5 indexed citations
11.
Mayeli, Peyman, et al.. (2018). Al 2 O 3 –Water nanofluid heat transfer and entropy generation in a ribbed channel with wavy wall in the presence of magnetic field. Numerical Heat Transfer Part A Applications. 73(9). 604–623. 28 indexed citations
12.
Hosseini, K., Peyman Mayeli, Ahmet Bekir, & Özkan Güner. (2018). Density-Dependent Conformable Space-time Fractional Diffusion-Reaction Equation and Its Exact Solutions. Communications in Theoretical Physics. 69(1). 1–1. 33 indexed citations
13.
Hosseini, K., et al.. (2018). New Optical Solitons of the Longitudinal Wave Equation in a Magnetoelectro-Elastic Circular Rod. Acta Physica Polonica A. 133(1). 20–22. 11 indexed citations
14.
Hosseini, K., Yunjie Xu, Peyman Mayeli, et al.. (2017). A study on the conformable time-fractional Klein–Gordon equations with quadratic and cubic nonlinearities. Optoelectronics and Advanced Materials Rapid Communications. 11. 423–429. 13 indexed citations
15.
Mayeli, Peyman, et al.. (2017). Techno-economic feasibility of off-grid solar irrigation for a rice paddy in Guilan province in Iran: A case study. Solar Energy. 150. 546–557. 33 indexed citations
16.
Nikfar, Mehdi & Peyman Mayeli. (2017). Surface Shape Design in Different Convection Heat Transfer Problems Via a Novel Coupled Algorithm. Journal of Heat Transfer. 140(2). 7 indexed citations
17.
18.
Mayeli, Peyman, et al.. (2017). Numerical investigation of the MHD forced convection and entropy generation in a straight duct with sinusoidal walls containing water–Al2O3 nanofluid. Numerical Heat Transfer Part A Applications. 71(12). 1235–1250. 27 indexed citations
19.
Mayeli, Peyman, et al.. (2016). Inverse shape design for heat conduction problems via the ball spine algorithm. Numerical Heat Transfer Part B Fundamentals. 69(3). 249–269. 18 indexed citations
20.
Nikfar, Mehdi, Ali Ashrafizadeh, & Peyman Mayeli. (2014). Inverse shape design via a new physical-based iterative solution strategy. Inverse Problems in Science and Engineering. 23(7). 1138–1162. 16 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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2026