Khaled M. Saad

2.6k total citations
87 papers, 2.2k citations indexed

About

Khaled M. Saad is a scholar working on Modeling and Simulation, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Khaled M. Saad has authored 87 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Modeling and Simulation, 40 papers in Numerical Analysis and 35 papers in Statistical and Nonlinear Physics. Recurrent topics in Khaled M. Saad's work include Fractional Differential Equations Solutions (70 papers), Nonlinear Waves and Solitons (27 papers) and Iterative Methods for Nonlinear Equations (26 papers). Khaled M. Saad is often cited by papers focused on Fractional Differential Equations Solutions (70 papers), Nonlinear Waves and Solitons (27 papers) and Iterative Methods for Nonlinear Equations (26 papers). Khaled M. Saad collaborates with scholars based in Saudi Arabia, Yemen and Egypt. Khaled M. Saad's co-authors include J. F. Gómez‐Aguilar, Dumitru Bǎleanu, H. M. Srivastava, M. M. Khader, Manal Alqhtani, Abdon Atangana, M. M. Khader, Waleed M. Hamanah, Praveen Agarwal and V. F. Morales‐Delgado and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Khaled M. Saad

78 papers receiving 2.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Khaled M. Saad 1.8k 772 660 551 429 87 2.2k
Emile Franc Doungmo Goufo 1.7k 0.9× 496 0.6× 667 1.0× 417 0.8× 638 1.5× 102 2.3k
Vedat Suat Ertürk 2.6k 1.4× 1.1k 1.4× 588 0.9× 561 1.0× 905 2.1× 103 3.1k
Badr Saad T. Alkahtani 1.3k 0.7× 483 0.6× 380 0.6× 427 0.8× 323 0.8× 119 1.6k
Ranbir Kumar 1.4k 0.7× 517 0.7× 492 0.7× 354 0.6× 436 1.0× 15 1.7k
Nabil Shawagfeh 2.3k 1.2× 1.2k 1.6× 818 1.2× 583 1.1× 474 1.1× 67 3.2k
Jorge E. Macías‐Díaz 1.4k 0.8× 817 1.1× 1.0k 1.6× 379 0.7× 455 1.1× 251 2.5k
Ndolane Sene 1.4k 0.8× 439 0.6× 349 0.5× 391 0.7× 401 0.9× 74 1.9k
Roberto Garrappa 2.0k 1.1× 1.1k 1.5× 490 0.7× 598 1.1× 246 0.6× 66 2.7k
Mehmet Yavuz 2.9k 1.6× 809 1.0× 824 1.2× 661 1.2× 1.2k 2.9× 102 3.7k
Ahmad El-Ajou 2.1k 1.2× 1.2k 1.5× 920 1.4× 650 1.2× 203 0.5× 56 2.4k

Countries citing papers authored by Khaled M. Saad

Since Specialization
Citations

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

Fields of papers citing papers by Khaled M. Saad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khaled M. Saad. 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 Khaled M. Saad. The network helps show where Khaled M. Saad may publish in the future.

Co-authorship network of co-authors of Khaled M. Saad

This figure shows the co-authorship network connecting the top 25 collaborators of Khaled M. Saad. A scholar is included among the top collaborators of Khaled M. Saad 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 Khaled M. Saad. Khaled M. Saad 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.
Saad, Khaled M., Kolade M. Owolabi, Edson Pindza, & Waleed M. Hamanah. (2025). Simulating natural patterns via space-time accurate barycentric collocation methods for nonlinear PDEs. Computers & Mathematics with Applications. 199. 378–402.
2.
3.
Alqhtani, Manal, et al.. (2025). On the oscillation criteria for neutral differential equations with several delays. Scientific Reports. 15(1). 34014–34014.
4.
Alqhtani, Manal, Lakhlifa Sadek, & Khaled M. Saad. (2025). Numerical Method for Solving Quantum Fractional Differential Equations Using Quantum Fractional Taylor Functions. Mathematical Methods in the Applied Sciences. 49(5). 3843–3865.
5.
Saad, Khaled M. & Rekha Srivastava. (2024). Non-Standard Finite Difference and Vieta-Lucas Orthogonal Polynomials for the Multi-Space Fractional-Order Coupled Korteweg-de Vries Equation. Symmetry. 16(2). 242–242. 3 indexed citations
6.
Khader, M. M., et al.. (2024). A Note on a Fractional Extension of the Lotka–Volterra Model Using the Rabotnov Exponential Kernel. Axioms. 13(1). 71–71. 6 indexed citations
7.
Saad, Khaled M., et al.. (2024). A Spectral Collocation Method for Solving Caputo-Liouville Fractional Order Fredholm Integro-differential Equations. European Journal of Pure and Applied Mathematics. 17(1). 477–503.
8.
Khader, M. M., Jorge E. Macías‐Díaz, Khaled M. Saad, & Waleed M. Hamanah. (2023). Vieta–Lucas Polynomials for the Brusselator System with the Rabotnov Fractional-Exponential Kernel Fractional Derivative. Symmetry. 15(9). 1619–1619. 8 indexed citations
9.
Alqhtani, Manal, Rekha Srivastava, H. I. Abdel‐Gawad, et al.. (2023). Insight into Functional Boiti–Leon–Mana–Pempinelli Equation and Error Control: Approximate Similarity Solutions. Mathematics. 11(22). 4569–4569. 7 indexed citations
10.
Alqhtani, Manal, Khaled M. Saad, Rasool Shah, & Waleed M. Hamanah. (2023). Discovering novel soliton solutions for (3+1)-modified fractional Zakharov–Kuznetsov equation in electrical engineering through an analytical approach. Optical and Quantum Electronics. 55(13). 31 indexed citations
11.
Saad, Khaled M. & H. M. Srivastava. (2023). Numerical Solutions of the Multi-Space Fractional-Order Coupled Korteweg–De Vries Equation with Several Different Kernels. Fractal and Fractional. 7(10). 716–716. 10 indexed citations
12.
Alqhtani, Manal, M. M. Khader, & Khaled M. Saad. (2023). Numerical Simulation for a High-Dimensional Chaotic Lorenz System Based on Gegenbauer Wavelet Polynomials. Mathematics. 11(2). 472–472. 27 indexed citations
13.
Oussaeif, Taki-Eddine, Adel Ouannas, Iqbal M. Batiha, et al.. (2022). Existence and Uniqueness of the Solution for an Inverse Problem of a Fractional Diffusion Equation with Integral Condition. Journal of Function Spaces. 2022. 1–9. 10 indexed citations
14.
Oussaeif, Taki-Eddine, et al.. (2022). A Nonlinear Fractional Problem with a Second Kind Integral Condition for Time-Fractional Partial Differential Equation. Journal of Function Spaces. 2022. 1–9. 2 indexed citations
15.
Srivastava, H. M., Khaled M. Saad, & Waleed M. Hamanah. (2022). Certain New Models of the Multi-Space Fractal-Fractional Kuramoto-Sivashinsky and Korteweg-de Vries Equations. Mathematics. 10(7). 1089–1089. 29 indexed citations
16.
Alqhtani, Manal & Khaled M. Saad. (2022). Numerical solutions of space-fractional diffusion equations via the exponential decay kernel. AIMS Mathematics. 7(4). 6535–6549. 10 indexed citations
17.
Noorani, Mohd Salmi Md, et al.. (2021). Numerical Solutions of Certain New Models of the Time-Fractional Gray-Scott. Journal of Function Spaces. 2021. 1–12. 16 indexed citations
18.
Alderremy, A. A., Khaled M. Saad, Tofigh Allahviranloo, et al.. (2021). Analytical solutions of $ q $-fractional differential equations with proportional derivative. AIMS Mathematics. 6(6). 5737–5749.
19.
Alderremy, A. A., J. F. Gómez‐Aguilar, Shaban Aly, & Khaled M. Saad. (2020). A fuzzy fractional model of coronavirus (COVID-19) and its study with Legendre spectral method. Results in Physics. 21. 103773–103773. 45 indexed citations
20.
Srivastava, H. M., et al.. (2018). A New Analysis of the Time-Fractional and Space-Time Fractional-Order Nagumo Equation. 10(4). 545–561. 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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