Bassem Akoush

417 total citations · 1 hit paper
10 papers, 288 citations indexed

About

Bassem Akoush is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Bassem Akoush has authored 10 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Mechanics, 4 papers in Fluid Flow and Transfer Processes and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Bassem Akoush's work include Advanced Combustion Engine Technologies (4 papers), Photovoltaic System Optimization Techniques (4 papers) and Combustion and flame dynamics (4 papers). Bassem Akoush is often cited by papers focused on Advanced Combustion Engine Technologies (4 papers), Photovoltaic System Optimization Techniques (4 papers) and Combustion and flame dynamics (4 papers). Bassem Akoush collaborates with scholars based in Egypt, United States and Australia. Bassem Akoush's co-authors include Matthias Ihme, Wai Tong Chung, Mohamed Abubakr, Muhammed A. Hassan, A. Khalil, Guillaume Vignat, Edna R. Toro, Pietro Elia Campana, M.A. Zayed and William L. Roberts and has published in prestigious journals such as Fuel, Renewable Energy and Combustion and Flame.

In The Last Decade

Bassem Akoush

8 papers receiving 281 citations

Hit Papers

A Review of Physics-Informed Machine Learning in Fluid Me... 2023 2026 2024 2025 2023 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Review of Physics-Informed Machine Learning in Fluid Mechanics
    2023 115 citations Wai Tong Chung, Bassem Akoush et al. Energies profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bassem Akoush Egypt 8 89 79 67 49 44 10 288
Zhihu Li China 9 56 0.6× 33 0.4× 18 0.3× 10 0.2× 20 0.5× 18 310
Arturo Pacheco-Vega United States 10 221 2.5× 36 0.5× 72 1.1× 34 0.7× 93 2.1× 50 661
Shady E. Ahmed Egypt 14 179 2.0× 194 2.5× 63 0.9× 195 4.0× 53 1.2× 53 608
R. Cònsul Spain 10 267 3.0× 121 1.5× 18 0.3× 7 0.1× 92 2.1× 18 453
Emiliano Casati Netherlands 10 151 1.7× 185 2.3× 25 0.4× 153 3.1× 68 1.5× 21 731
Sam Yang United States 13 23 0.3× 129 1.6× 33 0.5× 17 0.3× 47 1.1× 41 338
Sohail R. Reddy United States 13 77 0.9× 128 1.6× 54 0.8× 8 0.2× 32 0.7× 38 466
S.A. Klein Netherlands 16 125 1.4× 110 1.4× 14 0.2× 34 0.7× 156 3.5× 46 746
Magnus Genrup Sweden 13 85 1.0× 52 0.7× 7 0.1× 50 1.0× 104 2.4× 59 541

Countries citing papers authored by Bassem Akoush

Since Specialization
Citations

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

Fields of papers citing papers by Bassem Akoush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bassem Akoush

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

All Works

10 of 10 papers shown
1.
2.
Chung, Wai Tong, et al.. (2023). A Review of Physics-Informed Machine Learning in Fluid Mechanics. Energies. 16(5). 2343–2343. 115 indexed citations breakdown →
3.
Akoush, Bassem, et al.. (2023). Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data. PolyPublie (École Polytechnique de Montréal). 77430–77484.
4.
Vignat, Guillaume, et al.. (2022). Combustion of lean ammonia-hydrogen fuel blends in a porous media burner. Proceedings of the Combustion Institute. 39(4). 4195–4204. 39 indexed citations
5.
Abubakr, Mohamed, Bassem Akoush, A. Khalil, & Muhammed A. Hassan. (2022). Unleashing deep neural network full potential for solar radiation forecasting in a new geographic location with historical data scarcity: a transfer learning approach. The European Physical Journal Plus. 137(4). 19 indexed citations
6.
7.
El‐Baz, Ayman, Mohy S. Mansour, Bassem Akoush, et al.. (2021). Detailed investigation of the mixing field and stability of natural gas and propane in highly turbulent planar flames. Fuel. 309. 122222–122222. 8 indexed citations
8.
Hassan, Muhammed A., Bassem Akoush, Mohamed Abubakr, Pietro Elia Campana, & A. Khalil. (2021). High-resolution estimates of diffuse fraction based on dynamic definitions of sky conditions. Renewable Energy. 169. 641–659. 24 indexed citations
9.
Mansour, Mohy S., Ayman El‐Baz, William L. Roberts, et al.. (2020). Structure and stability characteristics of turbulent planar flames with inhomogeneous jet in a concentric flow slot burner. Proceedings of the Combustion Institute. 38(2). 2597–2606. 11 indexed citations
10.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhihu Li Breakdown of academic impact, for papers by Arturo Pacheco-Vega Breakdown of academic impact, for papers by Shady E. Ahmed Breakdown of academic impact, for papers by R. Cònsul Breakdown of academic impact, for papers by Emiliano Casati Breakdown of academic impact, for papers by Sam Yang Breakdown of academic impact, for papers by Sohail R. Reddy Breakdown of academic impact, for papers by S.A. Klein Breakdown of academic impact, for papers by Magnus Genrup
Rankless by CCL
2026