Samia Elattar

1.9k total citations · 1 hit paper
88 papers, 1.5k citations indexed

About

Samia Elattar is a scholar working on Biomedical Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Samia Elattar has authored 88 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Biomedical Engineering, 56 papers in Mechanical Engineering and 36 papers in Computational Mechanics. Recurrent topics in Samia Elattar's work include Nanofluid Flow and Heat Transfer (61 papers), Heat Transfer Mechanisms (41 papers) and Fluid Dynamics and Turbulent Flows (26 papers). Samia Elattar is often cited by papers focused on Nanofluid Flow and Heat Transfer (61 papers), Heat Transfer Mechanisms (41 papers) and Fluid Dynamics and Turbulent Flows (26 papers). Samia Elattar collaborates with scholars based in Saudi Arabia, Egypt and Pakistan. Samia Elattar's co-authors include Ahmed M. Abed, Umair Khan, M. Ijaz Khan, Aurang Zaib, Kamel Guedri, Sayed M. Eldin, Sayed M. Eldin, Ahmed M. Galal, Anuar Ishak and Azher M. Abed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Samia Elattar

80 papers receiving 1.4k citations

Hit Papers

Heat Transport Exploration for Hybrid Nanoparticle (Cu, F... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samia Elattar Saudi Arabia 20 1000 828 634 142 97 88 1.5k
Nevzat Akkurt Türkiye 23 727 0.7× 794 1.0× 442 0.7× 203 1.4× 72 0.7× 67 1.2k
Mohamed Abdelghany Elkotb Saudi Arabia 21 715 0.7× 643 0.8× 480 0.8× 69 0.5× 121 1.2× 59 1.2k
Kourosh Javaherdeh Iran 20 695 0.7× 877 1.1× 300 0.5× 254 1.8× 33 0.3× 74 1.3k
Hamid Saffari Iran 27 718 0.7× 1.5k 1.8× 803 1.3× 143 1.0× 67 0.7× 88 2.0k
Pedram Hanafizadeh Iran 25 850 0.8× 1.1k 1.3× 432 0.7× 287 2.0× 146 1.5× 108 2.0k
Erfan Khodabandeh Iran 21 927 0.9× 1.2k 1.4× 390 0.6× 472 3.3× 76 0.8× 24 1.6k
Zhilong Cheng China 22 402 0.4× 1.0k 1.3× 429 0.7× 118 0.8× 55 0.6× 42 1.5k
Dariusz Mikielewicz Poland 22 307 0.3× 1.5k 1.8× 357 0.6× 221 1.6× 62 0.6× 167 1.9k
Tawfeeq Abdullah Alkanhal Saudi Arabia 18 638 0.6× 601 0.7× 296 0.5× 234 1.6× 38 0.4× 23 1.0k
Vincenzo Naso Italy 24 606 0.6× 893 1.1× 791 1.2× 327 2.3× 229 2.4× 119 2.0k

Countries citing papers authored by Samia Elattar

Since Specialization
Citations

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

Fields of papers citing papers by Samia Elattar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samia Elattar

This figure shows the co-authorship network connecting the top 25 collaborators of Samia Elattar. A scholar is included among the top collaborators of Samia Elattar 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 Samia Elattar. Samia Elattar 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
2.
Ishak, Anuar, et al.. (2025). The implication of thermal radiation in a mixed convection hybrid nanofluid flow past an inclined stretching/shrinking sheet with mass suction. Journal of Radiation Research and Applied Sciences. 18(2). 101420–101420. 4 indexed citations
3.
Salahuddin, T., Adnan Maqsood, Muhammad Awais, et al.. (2025). Double-layer stratification of Cross fluid flow with viscous dissipation and variable thermal conductivity. Dynamics of Atmospheres and Oceans. 112. 101614–101614.
5.
Yan, Gongxing, et al.. (2025). Enhancing sustainable energy storage through PCM-hemp concrete formulations: Environmental advancements in building materials. Journal of Energy Storage. 132. 117555–117555. 1 indexed citations
6.
Elattar, Samia, et al.. (2024). Predicting concrete strength early age using a combination of machine learning and electromechanical impedance with nano-enhanced sensors. Environmental Research. 258. 119248–119248. 8 indexed citations
7.
Elattar, Samia, Umair Khan, Aurang Zaib, et al.. (2024). External velocity and dissipative flow of clay nanoparticles on the lubricity of drilling fluids across a vertical surface in a Darcy-Brinkman porous medium with thermal radiation. Journal of Molecular Liquids. 409. 125428–125428. 5 indexed citations
8.
Elattar, Samia, Umair Khan, Aurang Zaib, et al.. (2024). Radiative flow of clay nanoparticles on the lubricity of Williamson drilling fluids across a vertical surface in a Darcy-Brinkman porous medium. Chinese Journal of Physics. 92. 701–720. 5 indexed citations
9.
Ullah, Asad, Nahid Fatima, Khalid Abdulkhaliq M. Alharbi, et al.. (2023). A Numerical Analysis of the Hybrid Nanofluid (Ag+TiO2+Water) Flow in the Presence of Heat and Radiation Fluxes. Energies. 16(3). 1220–1220. 11 indexed citations
10.
Hu, Xuelong, et al.. (2023). XGBoost with Q-learning for complex data processing in business logistics management. Information Processing & Management. 60(5). 103466–103466. 7 indexed citations
11.
Hussain, Iftikhar, et al.. (2023). Impact of ferromagnetic nanoparticles on convectively heated radiative flow of Williamson nanofluid. Journal of the Indian Chemical Society. 100(2). 100915–100915. 6 indexed citations
12.
13.
Raza, Ali, et al.. (2023). Prabhakar fractional simulation for thermal and solutal transport analysis of a Casson hybrid nanofluid flow over a channel with buoyancy effects. Journal of Magnetism and Magnetic Materials. 586. 171176–171176. 5 indexed citations
14.
Guedri, Kamel, et al.. (2022). Couple stress Darcy–Forchheimer nanofluid flow by a stretchable surface with nonuniform heat source and suction/injection effects. International Journal of Modern Physics B. 36(30). 15 indexed citations
15.
Abbasi, A., W. Farooq, Sayed M. Eldin, et al.. (2022). Heat Transport Exploration for Hybrid Nanoparticle (Cu, Fe3O4)—Based Blood Flow via Tapered Complex Wavy Curved Channel with Slip Features. Micromachines. 13(9). 1415–1415. 151 indexed citations breakdown →
16.
Bafakeeh, Omar T., Bilal Ahmad, Tasawar Abbas, et al.. (2022). Nonlinear Thermal Diffusion and Radiative Stagnation Point Flow of Nanofluid with Viscous Dissipation and Slip Constrains: Keller Box Framework Applications to Micromachines. Micromachines. 13(11). 1839–1839. 16 indexed citations
17.
Faizan, M., Aurang Zaib, Farhan Ali, et al.. (2022). Numerical Computation for Gyrotactic Microorganisms in MHD Radiative Eyring–Powell Nanomaterial Flow by a Static/Moving Wedge with Darcy–Forchheimer Relation. Micromachines. 13(10). 1768–1768. 123 indexed citations
18.
Ullah, Asad, Ikramullah Ikramullah, Samia Elattar, et al.. (2022). Impact of the KKL Correlation Model on the Activation of Thermal Energy for the Hybrid Nanofluid (GO+ZnO+Water) Flow through Permeable Vertically Rotating Surface. Energies. 15(8). 2872–2872. 25 indexed citations
19.
Abed, Ahmed M., et al.. (2020). The Neural Network Revamping the Process’s Reliability in Deep Lean via Internet of Things. Processes. 8(6). 729–729. 12 indexed citations
20.
Elattar, Samia, Ahmed M. Abed, & Fadwa Alrowais. (2020). Safety Maintains Lean Sustainability and Increases Performance through Fault Control. Applied Sciences. 10(19). 6851–6851. 8 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026