Mohamed Kamel Riahi

561 total citations
31 papers, 360 citations indexed

About

Mohamed Kamel Riahi is a scholar working on Geophysics, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Mohamed Kamel Riahi has authored 31 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Geophysics, 10 papers in Ocean Engineering and 9 papers in Mechanical Engineering. Recurrent topics in Mohamed Kamel Riahi's work include Seismic Imaging and Inversion Techniques (12 papers), Seismic Waves and Analysis (9 papers) and Drilling and Well Engineering (5 papers). Mohamed Kamel Riahi is often cited by papers focused on Seismic Imaging and Inversion Techniques (12 papers), Seismic Waves and Analysis (9 papers) and Drilling and Well Engineering (5 papers). Mohamed Kamel Riahi collaborates with scholars based in United Arab Emirates, United States and Saudi Arabia. Mohamed Kamel Riahi's co-authors include Eiyad Abu‐Nada, Samir Khatir, Brahim Benaissa, Yacine Addad, I. A. Qattan, Nourredine Aït Hocine, Seyedali Mirjalili, Muritala Alade Amidu, Dirar Homouz and Jamal Hassan and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Mohamed Kamel Riahi

29 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Kamel Riahi United Arab Emirates 12 111 106 72 71 56 31 360
A. Nicolas France 11 66 0.6× 82 0.8× 20 0.3× 14 0.2× 50 0.9× 21 331
Tengfei Zhang China 17 119 1.1× 54 0.5× 173 2.4× 91 1.3× 45 0.8× 94 798
J.-L. Coulomb France 10 132 1.2× 41 0.4× 60 0.8× 65 0.9× 86 1.5× 26 377
Hideaki Nozato Japan 11 123 1.1× 107 1.0× 16 0.2× 29 0.4× 46 0.8× 45 414
José Torres Spain 14 29 0.3× 65 0.6× 13 0.2× 28 0.4× 19 0.3× 68 556
W. Zima Poland 19 266 2.4× 207 2.0× 356 4.9× 19 0.3× 50 0.9× 70 947
Lutz Lehmann Germany 10 43 0.4× 15 0.1× 51 0.7× 132 1.9× 148 2.6× 19 309

Countries citing papers authored by Mohamed Kamel Riahi

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Kamel Riahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Kamel Riahi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Kamel Riahi. A scholar is included among the top collaborators of Mohamed Kamel Riahi 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 Kamel Riahi. Mohamed Kamel Riahi 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.
Khatir, Abdelwahhab, Roberto Capozucca, Samir Khatir, et al.. (2025). Advancements and emerging trends in integrating machine learning and deep learning for SHM in mechanical and civil engineering: a comprehensive review. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 47(9). 7 indexed citations
2.
Jin, Chao, Bing Zhou, Mohamed Kamel Riahi, & Mohamed Jamal Zemerly. (2025). High-order recursive convolution method for viscoacoustic wave modeling. Geophysics. 90(3). T69–T77.
3.
Jin, Chao, Bing Zhou, Stewart Greenhalgh, et al.. (2024). An Accurate and Efficient Recursive Convolution Method to Simulate Viscoacoustic and Viscoelastic Waves. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 2 indexed citations
4.
5.
Jin, Chao, Bing Zhou, Mohamed Kamel Riahi, Mohamed Jamal Zemerly, & Danping Cao. (2024). On the numerical resolution of the second-order viscoacoustic and viscoelastic anisotropic wave equations using the recursive convolution method. Computers & Geosciences. 184. 105538–105538. 1 indexed citations
6.
Benaissa, Brahim, Samir Khatir, Mohamed Soufiane Jouini, & Mohamed Kamel Riahi. (2023). Optimal Axial-Probe Design for Foucault-Current Tomography: A Global Optimization Approach Based on Linear Sampling Method. Energies. 16(5). 2448–2448. 12 indexed citations
7.
Zhou, Bing, et al.. (2023). 2.5-D Time-Domain Seismic Wavefield Modeling in Heterogeneous Viscoelastic and Tilted Transversely Isotropic Media (2023). IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 2 indexed citations
8.
Jin, Chao, Bing Zhou, Stewart Greenhalgh, et al.. (2023). Generalized recursive convolution method for viscoelastic wave modelling. 1–5. 3 indexed citations
9.
10.
Zhou, Bing, et al.. (2021). Frequency-domain seismic data transformation from point source to line source for 2D viscoelastic anisotropic media. Geophysics. 87(2). T85–T98. 6 indexed citations
11.
Riahi, Mohamed Kamel & I. A. Qattan. (2021). On the convergence rate of Fletcher‐Reeves nonlinear conjugate gradient methods satisfying strong Wolfe conditions: Application to parameter identification in problems governed by general dynamics. Mathematical Methods in the Applied Sciences. 45(7). 3644–3664. 6 indexed citations
12.
Amidu, Muritala Alade, Yacine Addad, Mohamed Kamel Riahi, & Eiyad Abu‐Nada. (2021). Numerical investigation of nanoparticles slip mechanisms impact on the natural convection heat transfer characteristics of nanofluids in an enclosure. Scientific Reports. 11(1). 15678–15678. 29 indexed citations
13.
14.
Amidu, Muritala Alade, Yacine Addad, & Mohamed Kamel Riahi. (2020). A hybrid multiphase flow model for the prediction of both low and high void fraction nucleate boiling regimes. Applied Thermal Engineering. 178. 115625–115625. 16 indexed citations
15.
Riahi, Mohamed Kamel, et al.. (2020). CSIOR: Circle-Surface Intersection Ordered Resampling. Computer Aided Geometric Design. 79. 101837–101837. 3 indexed citations
16.
Alazzam, Anas, Mohammad Al-Khaleel, Mohamed Kamel Riahi, et al.. (2019). Dielectrophoresis Multipath Focusing of Microparticles through Perforated Electrodes in Microfluidic Channels. Biosensors. 9(3). 99–99. 2 indexed citations
17.
Riahi, Mohamed Kamel, I. A. Qattan, Jamal Hassan, & Dirar Homouz. (2019). Identifying short- and long-time modes of the mean-square displacement: An improved nonlinear fitting approach. AIP Advances. 9(5). 37 indexed citations
18.
Riahi, Mohamed Kamel, Julien Salomon, Steffen J. Glaser, & D. Sugny. (2016). Fully efficient time-parallelized quantum optimal control algorithm. Physical review. A. 93(4). 15 indexed citations
19.
Haddar, Houssem, et al.. (2016). A Robust Inversion Method for Quantitative 3D Shape Reconstruction from Coaxial Eddy Current Measurements. Journal of Scientific Computing. 70(1). 29–59. 11 indexed citations
20.
Maday, Yvon, et al.. (2014). Parareal in time 3D numerical solver for the LWR Benchmark neutron diffusion transient model. Journal of Computational Physics. 279. 67–79. 11 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