Mohamed Pourkashanian

19.7k total citations · 3 hit papers
470 papers, 14.0k citations indexed

About

Mohamed Pourkashanian is a scholar working on Computational Mechanics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Mohamed Pourkashanian has authored 470 papers receiving a total of 14.0k indexed citations (citations by other indexed papers that have themselves been cited), including 194 papers in Computational Mechanics, 183 papers in Biomedical Engineering and 123 papers in Mechanical Engineering. Recurrent topics in Mohamed Pourkashanian's work include Combustion and flame dynamics (140 papers), Thermochemical Biomass Conversion Processes (136 papers) and Advanced Combustion Engine Technologies (78 papers). Mohamed Pourkashanian is often cited by papers focused on Combustion and flame dynamics (140 papers), Thermochemical Biomass Conversion Processes (136 papers) and Advanced Combustion Engine Technologies (78 papers). Mohamed Pourkashanian collaborates with scholars based in United Kingdom, China and Egypt. Mohamed Pourkashanian's co-authors include Lin Ma, D.B. Ingham, A. Williams, J.M. Jones, Kevin J. Hughes, M.S. Ismail, Richard Porter, A. Williams, R.I. Backreedy and W. Nimmo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Renewable and Sustainable Energy Reviews.

In The Last Decade

Mohamed Pourkashanian

454 papers receiving 13.6k citations

Hit Papers

Pollutants from the combustion of solid biomass fuels 2010 2026 2015 2020 2011 2010 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Pourkashanian United Kingdom 63 5.7k 4.8k 3.3k 2.5k 2.3k 470 14.0k
Kai Luo China 63 5.3k 0.9× 8.1k 1.7× 3.2k 1.0× 2.9k 1.2× 2.6k 1.1× 560 18.2k
Lin Ma United Kingdom 59 2.9k 0.5× 4.3k 0.9× 1.6k 0.5× 2.9k 1.2× 2.5k 1.1× 429 11.4k
Zhihua Wang China 62 4.4k 0.8× 3.3k 0.7× 5.0k 1.5× 2.6k 1.1× 1.5k 0.7× 727 17.3k
Chuguang Zheng China 69 11.5k 2.0× 6.9k 1.4× 5.3k 1.6× 3.5k 1.4× 1.2k 0.5× 372 25.2k
Ahmed F. Ghoniem United States 54 4.0k 0.7× 6.5k 1.3× 2.3k 0.7× 684 0.3× 2.0k 0.9× 366 11.8k
Qiuwang Wang China 65 4.0k 0.7× 4.6k 0.9× 10.9k 3.3× 1.9k 0.8× 1.3k 0.6× 755 16.7k
H. Spliethoff Germany 56 6.3k 1.1× 2.1k 0.4× 5.1k 1.5× 1.7k 0.7× 517 0.2× 385 13.1k
Jyeshtharaj B. Joshi India 68 10.7k 1.9× 6.6k 1.4× 6.2k 1.9× 1.6k 0.6× 1.5k 0.6× 602 19.9k
Junhu Zhou China 70 6.4k 1.1× 1.2k 0.3× 4.3k 1.3× 1.6k 0.6× 1.1k 0.5× 493 17.0k
Dongke Zhang Australia 66 5.7k 1.0× 1.3k 0.3× 3.1k 1.0× 3.7k 1.5× 721 0.3× 486 18.2k

Countries citing papers authored by Mohamed Pourkashanian

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Pourkashanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Pourkashanian

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Pourkashanian. A scholar is included among the top collaborators of Mohamed Pourkashanian 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 Mohamed Pourkashanian. Mohamed Pourkashanian 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.
Szuhánszki, Janos, Xin Yang, D.B. Ingham, et al.. (2025). Effect of kaolin on ash partitioning and slagging for the combustion of biomass fuels in a field-scale 250 kW grate boiler. Biomass and Bioenergy. 204. 108418–108418.
2.
Akram, Muhammad, et al.. (2025). Comparison of conventional and process intensified next generation RPB absorbers for decarbonisation of the steel industry. Fuel. 388. 134484–134484. 3 indexed citations
3.
Zhang, Rui, Mohamed Pourkashanian, Michael Lengden, et al.. (2025). A modularized chemical species tomography sensor for dynamic imaging of gas-turbine exhaust. Sensors and Actuators B Chemical. 444. 138459–138459.
4.
Michailos, Stavros, et al.. (2025). Techno-economic and life cycle assessment of power-to-formic acid production using direct air capture and green hydrogen. Cleaner Engineering and Technology. 26. 100929–100929. 1 indexed citations
5.
Elsakka, Mohamed, et al.. (2024). Techno-economic assessment of vertical axis wind turbine driven RO desalination with compressed air energy storage for remote communities. Desalination. 592. 118094–118094. 6 indexed citations
7.
Ingham, D.B., et al.. (2023). Novel hybrid blade design and its impact on the overall and self-starting performance of a three-dimensional H-type Darrieus wind turbine. Journal of Fluids and Structures. 119. 103876–103876. 13 indexed citations
10.
Zhang, Rui, H. McCann, Chang Liu, et al.. (2023). Miniature Modular Sensor for Chemical Species Tomography with Enhanced Spatial Resolution. 1–5. 1 indexed citations
11.
Hughes, Kevin J., et al.. (2021). Modeling AMP Degradation Product Formation. Industrial & Engineering Chemistry Research. 60(50). 18337–18360. 5 indexed citations
12.
Harrington, George F., M.S. Ismail, Břetislav Šmíd, et al.. (2020). Gram-scale synthesis of alkoxide-derived nitrogen-doped carbon foam as a support for Fe–N–C electrocatalysts. Nanotechnology. 31(22). 225401–225401. 4 indexed citations
13.
Alborzi, Ehsan, et al.. (2020). DFT Studies on Thermal and Oxidative Degradation of Monoethanolamine. Industrial & Engineering Chemistry Research. 59(34). 15214–15225. 17 indexed citations
14.
Michailos, Stavros, et al.. (2020). A techno-enviro-economic assessment of a biomass fuelled micro-CCHP driven by a hybrid Stirling and ORC engine. Energy Conversion and Management. 227. 113601–113601. 38 indexed citations
15.
Tippayawong, Nakorn, et al.. (2020). Process Modelling and Simulation of Fast Pyrolysis Plant of Lignocellulosic Biomass Using Improved Chemical Kinetics in Aspen Plus®. SHILAP Revista de lepidopterología. 3 indexed citations
16.
Alborzi, Ehsan, et al.. (2020). Effect of Reactive Sulfur Removal by Activated Carbon on Aviation Fuel Thermal Stability. Energy & Fuels. 34(6). 6780–6790. 11 indexed citations
17.
Xie, Peng, Xuesong Lu, Hongbing Ding, et al.. (2019). A mesoscale 3D CFD analysis of the liquid flow in a rotating packed bed. Chemical Engineering Science. 199. 528–545. 51 indexed citations
18.
Huang, Yi, Yingjie Zhao, Yanhong Hao, et al.. (2018). A feasibility analysis of distributed power plants from agricultural residues resources gasification in rural China. Biomass and Bioenergy. 121. 1–12. 34 indexed citations
19.
Poggio, Davide, Mark Walker, W. Nimmo, Lin Ma, & Mohamed Pourkashanian. (2016). Modelling the anaerobic digestion of solid organic waste – Substrate characterisation method for ADM1 using a combined biochemical and kinetic parameter estimation approach. Waste Management. 53. 40–54. 61 indexed citations
20.
Hampartsoumian, E., et al.. (1989). Effect of the porous structure of char on the rate of gasification. 3 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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