Mati ur Rahman

2.5k total citations · 2 hit papers
126 papers, 1.9k citations indexed

About

Mati ur Rahman is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mati ur Rahman has authored 126 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Modeling and Simulation, 41 papers in Statistical and Nonlinear Physics and 40 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mati ur Rahman's work include Fractional Differential Equations Solutions (73 papers), Mathematical and Theoretical Epidemiology and Ecology Models (40 papers) and Nonlinear Differential Equations Analysis (35 papers). Mati ur Rahman is often cited by papers focused on Fractional Differential Equations Solutions (73 papers), Mathematical and Theoretical Epidemiology and Ecology Models (40 papers) and Nonlinear Differential Equations Analysis (35 papers). Mati ur Rahman collaborates with scholars based in China, Pakistan and Saudi Arabia. Mati ur Rahman's co-authors include Muhammad Arfan, Saeed Ahmad, Yu‐Ming Chu, Changjin Xu, Dumitru Bǎleanu, Haidong Qu, Fang Jin, Kamal Shah, M.A. El‐Shorbagy and Shabir Ahmad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physics Letters A.

In The Last Decade

Mati ur Rahman

115 papers receiving 1.8k citations

Hit Papers

ON NONLINEAR EVOLUTION MO... 2022 2026 2023 2024 2022 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mati ur Rahman China 26 1.2k 568 554 372 211 126 1.9k
Emile Franc Doungmo Goufo South Africa 28 1.7k 1.5× 667 1.2× 638 1.2× 417 1.1× 496 2.4× 102 2.3k
Muhammad Farman Pakistan 27 1.8k 1.5× 402 0.7× 1.0k 1.8× 340 0.9× 237 1.1× 215 2.8k
Badr Saad T. Alkahtani Saudi Arabia 19 1.3k 1.1× 380 0.7× 323 0.6× 427 1.1× 483 2.3× 119 1.6k
Ndolane Sene Senegal 27 1.4k 1.2× 349 0.6× 401 0.7× 391 1.1× 439 2.1× 74 1.9k
Ranbir Kumar India 13 1.4k 1.2× 492 0.9× 436 0.8× 354 1.0× 517 2.5× 15 1.7k
A. M. S. Mahdy Egypt 29 1.0k 0.9× 284 0.5× 320 0.6× 222 0.6× 438 2.1× 112 1.9k
Anwar Zeb Pakistan 24 1.2k 1.0× 224 0.4× 900 1.6× 209 0.6× 168 0.8× 141 2.0k
Khaled M. Saad Saudi Arabia 28 1.8k 1.6× 660 1.2× 429 0.8× 551 1.5× 772 3.7× 87 2.2k
Nauman Ahmed Pakistan 26 1.2k 1.0× 649 1.1× 831 1.5× 96 0.3× 200 0.9× 234 2.2k
Rashid Jan Saudi Arabia 34 1.5k 1.2× 278 0.5× 989 1.8× 297 0.8× 274 1.3× 190 2.6k

Countries citing papers authored by Mati ur Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Mati ur Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mati ur Rahman. 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 Mati ur Rahman. The network helps show where Mati ur Rahman may publish in the future.

Co-authorship network of co-authors of Mati ur Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Mati ur Rahman. A scholar is included among the top collaborators of Mati ur Rahman 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 Mati ur Rahman. Mati ur Rahman 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.
Akram, Sonia & Mati ur Rahman. (2025). Exploring nonlinear dynamics and soliton structures in the spin reduced Hirota-Maxwell-Bloch system via Atangana’s conformable operator. Chinese Journal of Physics. 97. 1514–1538. 3 indexed citations
2.
Rahman, Mati ur, et al.. (2025). Lump, breathing inelastic collision phenomena and rogue wave solutions for a extended KP hierarchy-type equation by neural network-based method. Ain Shams Engineering Journal. 16(10). 103657–103657. 2 indexed citations
3.
Rahman, Mati ur, Sonia Akram, & Mohammad Asif. (2025). Exploration of nonclassical symmetries and exact solutions to the (4+1)-dimensional Boiti–Leon–Manna–Pempinelli equation. Scientific Reports. 15(1). 34652–34652.
5.
Aslam, Muhammad Imran, et al.. (2024). Stability analysis of the corruption dynamics under fractional-order interventions. Nonlinear Engineering. 13(1). 2 indexed citations
6.
7.
Rahman, Mati ur, Saira Tabassum, Ali Althobaiti, Waseem Waseem, & Saad Althobaiti. (2024). An analysis of fractional piecewise derivative models of dengue transmission using deep neural network. SHILAP Revista de lepidopterología. 18(1). 11 indexed citations
8.
Alam, Khursheed, et al.. (2024). Fractional Stochastic Van der Pol Oscillator with Piecewise Derivatives. Journal of Mathematics. 2024(1). 1 indexed citations
9.
Rahman, Mati ur, Yeliz Karaca, Ravi P. Agarwal, & Sérgio Adriani David. (2024). Mathematical modelling with computational fractional order for the unfolding dynamics of the communicable diseases. SHILAP Revista de lepidopterología. 32(1). 6 indexed citations
10.
El‐Shorbagy, M.A., et al.. (2024). Giardiasis transmission dynamics: insights from fractal-fractional modeling and deep neural networks. Journal of Mathematics and Computer Science. 36(2). 185–206. 1 indexed citations
11.
El‐Shorbagy, M.A., Sonia Akram, & Mati ur Rahman. (2024). Investigation of lump, breather and multi solitonic wave solutions to fractional nonlinear dynamical model with stability analysis. Partial Differential Equations in Applied Mathematics. 12. 100955–100955. 7 indexed citations
13.
Xu, Changjin, Wei Ou, Yicheng Pang, et al.. (2023). Hopf Bifurcation Control of a Fractional-Order Delayed Turbidostat Model via a Novel Extended Hybrid Controller. match Communications in Mathematical and in Computer Chemistry. 91(2). 367–413. 26 indexed citations
14.
Yavuz, Mehmet, et al.. (2023). Predictive Modeling and Control Strategies for the Transmission of Middle East Respiratory Syndrome Coronavirus. Mathematical and Computational Applications. 28(5). 98–98. 19 indexed citations
15.
Ahmad, Shabir, Jie Lou, Meraj Ali Khan, & Mati ur Rahman. (2023). Analysing the Landau-Ginzburg-Higgs equation in the light of superconductivity and drift cyclotron waves: Bifurcation, chaos and solitons. Physica Scripta. 99(1). 15249–15249. 11 indexed citations
16.
Saifullah, Sayed, et al.. (2022). Chaotic dynamics in tritrophic interaction with volatile compounds in plants with power law kernel. Physica Scripta. 97(12). 124004–124004. 3 indexed citations
17.
Rahman, Mati ur, Ali Althobaiti, Muhammad Bilal Riaz, & Fuad S. Alduais. (2022). A Theoretical and Numerical Study on Fractional Order Biological Models with Caputo Fabrizio Derivative. Fractal and Fractional. 6(8). 446–446. 20 indexed citations
18.
Shafqat, Ramsha, et al.. (2022). A Fractional Order Investigation of Smoking Model Using Caputo-Fabrizio Differential Operator. Fractal and Fractional. 6(11). 623–623. 24 indexed citations
19.
Zhang, Lei, Mati ur Rahman, Shabir Ahmad, Muhammad Bilal Riaz, & Fahd Jarad. (2021). Dynamics of fractional order delay model of coronavirus disease. AIMS Mathematics. 7(3). 4211–4232. 22 indexed citations
20.
Rahman, Mati ur, et al.. (2019). Phthalocyanines Derivatives as Control Approach for Antimicrobial Photodynamic Therapy. 2(3). 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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