Farshad Shakeriaski

535 total citations
20 papers, 418 citations indexed

About

Farshad Shakeriaski is a scholar working on Biomedical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Farshad Shakeriaski has authored 20 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Mechanics of Materials and 5 papers in Materials Chemistry. Recurrent topics in Farshad Shakeriaski's work include Thermoelastic and Magnetoelastic Phenomena (5 papers), Nonlocal and gradient elasticity in micro/nano structures (4 papers) and Numerical methods in engineering (4 papers). Farshad Shakeriaski is often cited by papers focused on Thermoelastic and Magnetoelastic Phenomena (5 papers), Nonlocal and gradient elasticity in micro/nano structures (4 papers) and Numerical methods in engineering (4 papers). Farshad Shakeriaski collaborates with scholars based in Australia, Iran and Vietnam. Farshad Shakeriaski's co-authors include Maryam Ghodrat, Houman Babazadeh, J. P. Escobedo, Fatemeh Salehi, Ahmad Shafee, Iskander Tlili, Masud Behnia, Muhammad Ramzan, Taseer Muhammad and Albert Simeoni and has published in prestigious journals such as Sensors, Journal of Thermal Analysis and Calorimetry and Sustainable Energy Technologies and Assessments.

In The Last Decade

Farshad Shakeriaski

20 papers receiving 395 citations

Peers

Farshad Shakeriaski

RESE

Piotr Furmański Poland

Н. А. Луценко Russia

Lisheng Pan China

Peifang Fu China

Y.-X. Tao United States

Sonia Fereres Spain

Guoping Jiang China

Philip Rubini United Kingdom

Kwang-Ho Lee South Korea

Zhangfeng Huang China

Piotr Furmański Poland

Farshad Shakeriaski

282 ×1.9

60 ×0.5

64 ×0.6

78 ×1.3

RESE

71 ×1.3

Citations per year, relative to Farshad Shakeriaski Farshad Shakeriaski (= 1×) peers Piotr Furmański

Countries citing papers authored by Farshad Shakeriaski

Since Specialization

Citations

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

Fields of papers citing papers by Farshad Shakeriaski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farshad Shakeriaski

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

All Works

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20 of 20 papers shown

Shakeriaski, Farshad & Masoud Mohammadian. (2025). Enhancing Upper Limb Exoskeletons Using Sensor-Based Deep Learning Torque Prediction and PID Control. Sensors. 25(11). 3528–3528. 1 indexed citations

Mohammadian, Masoud, et al.. (2024). Dynamic Effects Analysis in Fractional Memristor-Based Rulkov Neuron Model. Biomimetics. 9(9). 543–543. 2 indexed citations

Shakeriaski, Farshad, et al.. (2023). Available challenges and recent progress in carbon dioxide capture, and reusing methods toward renewable energy. Sustainable Energy Technologies and Assessments. 58. 103365–103365. 18 indexed citations

Ghodrat, Maryam, et al.. (2022). Software-Based Simulations of Wildfire Spread and Wind-Fire Interaction. Fire. 6(1). 12–12. 9 indexed citations

Shakeriaski, Farshad & Maryam Ghodrat. (2022). Challenges and limitation of wearable sensors used in firefighters’ protective clothing. Journal of Fire Sciences. 40(3). 214–245. 16 indexed citations

Shakeriaski, Farshad, Maryam Ghodrat, Maria Rashidi, & Bijan Samali. (2022). Smart coating in protective clothing for firefighters: An overview and recent improvements. Journal of Industrial Textiles. 51(5_suppl). 7428S–7454S. 16 indexed citations

Ghodrat, Maryam, et al.. (2021). Experimental and Numerical Analysis of Formation and Flame Precession of Fire Whirls: A Review. Fire. 4(3). 43–43. 13 indexed citations

Shakeriaski, Farshad, et al.. (2021). Experimental and numerical studies on efficiency characterization of firefighters' protective clothing: a review. Journal of the Textile Institute. 113(11). 2549–2568. 13 indexed citations

Ghodrat, Maryam, et al.. (2021). Existing Improvements in Simulation of Fire–Wind Interaction and Its Effects on Structures. Fire. 4(2). 27–27. 30 indexed citations

10.

Shakeriaski, Farshad, Maryam Ghodrat, J. P. Escobedo, & Masud Behnia. (2021). The nonlinear thermo-hyperelasticity wave propagation analysis of near-incompressible functionally graded medium under mechanical and thermal loadings. Archive of Applied Mechanics. 91(7). 3075–3094. 11 indexed citations

11.

Shakeriaski, Farshad, Maryam Ghodrat, & Fatemeh Salehi. (2021). Integrated photovoltaic thermal systems, their applications and recent advance on performance improvement: a review. International Journal of Environmental Studies. 78(5). 838–864. 7 indexed citations

12.

Shakeriaski, Farshad, Fatemeh Salehi, & Maryam Ghodrat. (2021). Modified G-L thermoelasticity theory for nonlinear longitudinal wave in a porous thermoelastic medium. Physica Scripta. 96(12). 125206–125206. 6 indexed citations

13.

Shakeriaski, Farshad & Maryam Ghodrat. (2020). The nonlinear response of Cattaneo-type thermal loading of a laser pulse on a medium using the generalized thermoelastic model. Theoretical and Applied Mechanics Letters. 10(4). 286–297. 22 indexed citations

14.

Shakeriaski, Farshad, Maryam Ghodrat, J. P. Escobedo, & Masud Behnia. (2020). Recent advances in generalized thermoelasticity theory and the modified models: a review. Journal of Computational Design and Engineering. 8(1). 15–35. 30 indexed citations

15.

Shakeriaski, Farshad & Maryam Ghodrat. (2020). Nonlinear response for a general form of thermoelasticity equation in mediums under the effect of temperature-dependent properties and short-pulse heating. Journal of Thermal Analysis and Calorimetry. 147(1). 843–854. 21 indexed citations

16.

Shakeriaski, Farshad, Maryam Ghodrat, J. P. Escobedo, & Masud Behnia. (2020). Modified Green–Lindsay thermoelasticity wave propagation in elastic materials under thermal shocks. Journal of Computational Design and Engineering. 8(1). 36–54. 20 indexed citations

17.

Babazadeh, Houman, Taseer Muhammad, Farshad Shakeriaski, Muhammad Ramzan, & Mohammed Reza Hajizadeh. (2020). Nanomaterial between two plates which are squeezed with impose magnetic force. Journal of Thermal Analysis and Calorimetry. 144(3). 1023–1029. 66 indexed citations

18.

Li, Yong, Farshad Shakeriaski, Azeez A. Barzinjy, et al.. (2019). Nanomaterial thermal treatment along a permeable cylinder. Journal of Thermal Analysis and Calorimetry. 139(5). 3309–3315. 53 indexed citations

19.

Manh, Tran Dinh, Fatemeh Salehi, Ahmad Shafee, et al.. (2019). Role of magnetic force on the transportation of nanopowders including radiation. Journal of Thermal Analysis and Calorimetry. 143(1). 685–692. 52 indexed citations

20.

Shakeriaski, Farshad, et al.. (2017). Nonlinear vibration analysis of a rotor supported by magnetic bearings using homotopy perturbation method. Propulsion and Power Research. 6(3). 223–232. 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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