Muhammad Imran Liaqat

423 total citations
35 papers, 287 citations indexed

About

Muhammad Imran Liaqat is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics. According to data from OpenAlex, Muhammad Imran Liaqat has authored 35 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Modeling and Simulation, 20 papers in Numerical Analysis and 20 papers in Applied Mathematics. Recurrent topics in Muhammad Imran Liaqat's work include Fractional Differential Equations Solutions (32 papers), Nonlinear Differential Equations Analysis (14 papers) and Iterative Methods for Nonlinear Equations (11 papers). Muhammad Imran Liaqat is often cited by papers focused on Fractional Differential Equations Solutions (32 papers), Nonlinear Differential Equations Analysis (14 papers) and Iterative Methods for Nonlinear Equations (11 papers). Muhammad Imran Liaqat collaborates with scholars based in Pakistan, Saudi Arabia and Türkiye. Muhammad Imran Liaqat's co-authors include Ali Akgül, Shahram Rezapour, Sina Etemad, Mustafa Bayram, Choonkil Park, Hanaa Abu-Zinadah, Manuel De la Sen, Eric Okyere, Thabet Abdeljawad and Aziz Khan and has published in prestigious journals such as Chaos Solitons & Fractals, Symmetry and Optical and Quantum Electronics.

In The Last Decade

Muhammad Imran Liaqat

27 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Imran Liaqat Pakistan 11 249 134 122 106 26 35 287
Jinghua Chen China 6 236 0.9× 122 0.9× 145 1.2× 42 0.4× 30 1.2× 12 319
Asad Freihat Jordan 8 277 1.1× 128 1.0× 89 0.7× 93 0.9× 24 0.9× 16 320
Jyotindra C. Prajapati India 8 277 1.1× 134 1.0× 270 2.2× 59 0.6× 24 0.9× 34 401
Shehu Maitama China 13 396 1.6× 268 2.0× 104 0.9× 178 1.7× 34 1.3× 24 445
Dina Tavares Portugal 5 313 1.3× 202 1.5× 160 1.3× 60 0.6× 22 0.8× 9 358
Sahar Alipour Iran 13 362 1.5× 273 2.0× 134 1.1× 80 0.8× 38 1.5× 13 406
P. Mokhtary Iran 11 363 1.5× 317 2.4× 130 1.1× 53 0.5× 71 2.7× 28 397
B. Bonilla Spain 6 377 1.5× 183 1.4× 266 2.2× 56 0.5× 20 0.8× 11 443
Jingyu Xiao China 9 341 1.4× 287 2.1× 91 0.7× 38 0.4× 110 4.2× 13 396

Countries citing papers authored by Muhammad Imran Liaqat

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Imran Liaqat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Imran Liaqat. 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 Muhammad Imran Liaqat. The network helps show where Muhammad Imran Liaqat may publish in the future.

Co-authorship network of co-authors of Muhammad Imran Liaqat

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Imran Liaqat. A scholar is included among the top collaborators of Muhammad Imran Liaqat 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 Muhammad Imran Liaqat. Muhammad Imran Liaqat 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.
Liaqat, Muhammad Imran, et al.. (2025). Well-posedness and stability of fractional stochastic integro-differential equations with general memory effects. AIMS Mathematics. 10(9). 22265–22293.
2.
Liaqat, Muhammad Imran, Dumitru Bǎleanu, Majeed A. Yousif, & Pshtiwan Othman Mohammed. (2025). Stability Results for Stochastic Delay Differential Equations in the Framework of Conformable Fractional Derivatives. European Journal of Pure and Applied Mathematics. 18(4). 6466–6466.
3.
Liaqat, Muhammad Imran, et al.. (2025). SIGNIFICANT FINDINGS CONCERNING A SPECIFIC CLASS OF STOCHASTIC DIFFERENTIAL EQUATIONS WITH FRACTIONAL-ORDER. Fractals. 33(8). 1 indexed citations
4.
Liaqat, Muhammad Imran, et al.. (2025). Theoretical Results on the pth Moment of ϕ-Hilfer Stochastic Fractional Differential Equations with a Pantograph Term. Fractal and Fractional. 9(3). 134–134. 1 indexed citations
5.
6.
Liaqat, Muhammad Imran, et al.. (2024). A Novel Efficient Approach for Solving Nonlinear Caputo Fractional Differential Equations. Advances in Mathematical Physics. 2024(1).
7.
8.
Liaqat, Muhammad Imran, et al.. (2024). Analytical Analysis for Space Fractional Helmholtz Equations by Using The Hybrid Efficient Approach. Acta Mechanica et Automatica. 18(4). 616–625.
9.
Khan, Zareen A., et al.. (2024). A Novel Technique for Solving the Nonlinear Fractional-Order Smoking Model. Fractal and Fractional. 8(5). 286–286. 5 indexed citations
10.
11.
Liaqat, Muhammad Imran, et al.. (2024). Qualitative Analysis for the Solutions of Fractional Stochastic Differential Equations. Axioms. 13(7). 438–438. 4 indexed citations
12.
Liaqat, Muhammad Imran & Ali Akgül. (2024). Approximate and Exact Solutions of Some Nonlinear Differential Equations Using the Novel Coupling Approach in the Sense of Conformable Fractional Derivative. Contemporary Mathematics. 4132–4160. 1 indexed citations
13.
Liaqat, Muhammad Imran, et al.. (2024). Revised and Generalized Results of Averaging Principles for the Fractional Case. Axioms. 13(11). 732–732. 1 indexed citations
14.
Liaqat, Muhammad Imran, Ali Akgül, Manuel De la Sen, & Mustafa Bayram. (2023). Approximate and Exact Solutions in the Sense of Conformable Derivatives of Quantum Mechanics Models Using a Novel Algorithm. Symmetry. 15(3). 744–744. 27 indexed citations
15.
Liaqat, Muhammad Imran, Aziz Khan, Manar A. Alqudah, & Thabet Abdeljawad. (2023). ADAPTED HOMOTOPY PERTURBATION METHOD WITH SHEHU TRANSFORM FOR SOLVING CONFORMABLE FRACTIONAL NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS. Fractals. 31(2). 14 indexed citations
16.
Liaqat, Muhammad Imran, Ali Akgül, & Hanaa Abu-Zinadah. (2023). Analytical Investigation of Some Time-Fractional Black–Scholes Models by the Aboodh Residual Power Series Method. Mathematics. 11(2). 276–276. 21 indexed citations
17.
Khan, Aziz, Muhammad Imran Liaqat, Manar A. Alqudah, & Thabet Abdeljawad. (2023). ANALYSIS OF THE CONFORMABLE TEMPORAL-FRACTIONAL SWIFT–HOHENBERG EQUATION USING A NOVEL COMPUTATIONAL TECHNIQUE. Fractals. 31(4). 7 indexed citations
18.
Liaqat, Muhammad Imran, et al.. (2022). Approximate and Closed-Form Solutions of Newell-Whitehead-Segel Equations via Modified Conformable Shehu Transform Decomposition Method. Mathematical Problems in Engineering. 2022. 1–14. 21 indexed citations
19.
Rezapour, Shahram, Muhammad Imran Liaqat, & Sina Etemad. (2022). An Effective New Iterative Method to Solve Conformable Cauchy Reaction‐Diffusion Equation via the Shehu Transform. Journal of Mathematics. 2022(1). 10 indexed citations
20.
Liaqat, Muhammad Imran, Sina Etemad, Shahram Rezapour, & Choonkil Park. (2022). A novel analytical Aboodh residual power series method for solving linear and nonlinear time-fractional partial differential equations with variable coefficients. AIMS Mathematics. 7(9). 16917–16948. 33 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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