Muhammad Imran Asjad

4.0k total citations · 1 hit paper
190 papers, 3.3k citations indexed

About

Muhammad Imran Asjad is a scholar working on Biomedical Engineering, Modeling and Simulation and Statistical and Nonlinear Physics. According to data from OpenAlex, Muhammad Imran Asjad has authored 190 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Biomedical Engineering, 103 papers in Modeling and Simulation and 58 papers in Statistical and Nonlinear Physics. Recurrent topics in Muhammad Imran Asjad's work include Nanofluid Flow and Heat Transfer (112 papers), Fractional Differential Equations Solutions (103 papers) and Nonlinear Waves and Solitons (55 papers). Muhammad Imran Asjad is often cited by papers focused on Nanofluid Flow and Heat Transfer (112 papers), Fractional Differential Equations Solutions (103 papers) and Nonlinear Waves and Solitons (55 papers). Muhammad Imran Asjad collaborates with scholars based in Pakistan, Saudi Arabia and Türkiye. Muhammad Imran Asjad's co-authors include Ali Akgül, Waqas Ali Faridi, Ali Ahmadian, Hamood Ur Rehman, Maryam Aleem, Taseer Muhammad, Dumitru Bǎleanu, Muhammad Bilal, Sayed M. Eldin and Rizwan Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Muhammad Imran Asjad

180 papers receiving 3.2k citations

Hit Papers

Explicit Soliton Structure Formation for the Riemann Wave... 2023 2026 2024 2025 2023 20 40 60

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 Asjad Pakistan 33 1.9k 1.3k 1.2k 1.1k 991 190 3.3k
Abdelhalim Ebaid Saudi Arabia 28 1.3k 0.7× 782 0.6× 1.1k 0.9× 855 0.8× 802 0.8× 127 2.7k
Essam R. El‐Zahar Saudi Arabia 31 1.8k 1.0× 1.5k 1.1× 579 0.5× 1.2k 1.1× 421 0.4× 167 2.9k
Kamel Al‐Khaled Jordan 36 2.1k 1.1× 1.5k 1.1× 1.3k 1.1× 1.3k 1.2× 714 0.7× 191 3.9k
Aziz Ullah Awan Pakistan 33 1.5k 0.8× 1.1k 0.8× 640 0.5× 888 0.8× 829 0.8× 134 2.7k
Stanford Shateyi South Africa 27 1.3k 0.7× 964 0.7× 610 0.5× 980 0.9× 276 0.3× 150 2.3k
Galal M. Moatimid Egypt 27 1.2k 0.6× 499 0.4× 707 0.6× 1.2k 1.1× 399 0.4× 165 2.4k
Humaira Yasmin Saudi Arabia 26 1.5k 0.8× 1.0k 0.8× 455 0.4× 1.0k 1.0× 385 0.4× 153 2.2k
Naveed Ahmed Pakistan 38 3.0k 1.5× 2.5k 1.9× 545 0.5× 1.8k 1.7× 403 0.4× 153 3.7k
E. Magyari Switzerland 30 3.0k 1.6× 2.1k 1.6× 360 0.3× 2.2k 2.1× 399 0.4× 145 3.9k
M. Ayub Pakistan 35 2.9k 1.5× 1.8k 1.4× 734 0.6× 1.9k 1.8× 191 0.2× 183 3.8k

Countries citing papers authored by Muhammad Imran Asjad

Since Specialization
Citations

This map shows the geographic impact of Muhammad Imran Asjad'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 Asjad 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 Asjad more than expected).

Fields of papers citing papers by Muhammad Imran Asjad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Imran Asjad. A scholar is included among the top collaborators of Muhammad Imran Asjad 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 Asjad. Muhammad Imran Asjad 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.
Asjad, Muhammad Imran, et al.. (2024). Numerical investigation of bioconvective non-Newtonian nanofluid flow across a curved surface in the presence of microbes. Case Studies in Thermal Engineering. 64. 105308–105308. 3 indexed citations
3.
Chou, Dean, et al.. (2024). Some New Mixed and Complex Soliton Behaviors and Advanced Analysis of Long-Short-Wave Interaction Model. International Journal of Theoretical Physics. 63(11). 1 indexed citations
4.
Ullah, Naeem, Muhammad Imran Asjad, Musawa Yahya Almusawa, & Sayed M. Eldin. (2023). Dynamics of Nonlinear Optics with Different Analytical Approaches. Fractal and Fractional. 7(2). 138–138. 11 indexed citations
5.
Ullah, Naeem, et al.. (2023). Novel waves structures for two nonlinear partial differential equations arising in the nonlinear optics via Sardar-subequation method. Alexandria Engineering Journal. 71. 105–113. 42 indexed citations
6.
Ali, Muhammad Aamir, Muhammad Imran Asjad, Hüseyin Budak, & Waqas Ali Faridi. (2022). On Ostrowski–Mercer inequalities for differentiable harmonically convex functions with applications. Mathematical Methods in the Applied Sciences. 46(8). 8546–8559. 2 indexed citations
7.
8.
Alam, Md. Nur, Onur Alp İlhan, Jalil Manafian, et al.. (2022). New Results of Some of the Conformable Models Arising in Dynamical Systems. Advances in Mathematical Physics. 2022. 1–13. 9 indexed citations
9.
Perveen, Shazia, Raziya Nadeem, Farhat Nosheen, et al.. (2022). Biochar-Mediated Zirconium Ferrite Nanocomposites for Tartrazine Dye Removal from Textile Wastewater. Nanomaterials. 12(16). 2828–2828. 24 indexed citations
11.
Ullah, Naeem, Muhammad Imran Asjad, Jan Awrejcewicz, Taseer Muhammad, & Dumitru Bǎleanu. (2022). On soliton solutions of fractional-order nonlinear model appears in physical sciences. AIMS Mathematics. 7(5). 7421–7440. 32 indexed citations
12.
Asjad, Muhammad Imran, et al.. (2022). A Nonsingular Fractional Derivative Approach for Heat and Mass Transfer Flow with Hybrid Nanoparticles. Journal of Mathematics. 2022(1). 1 indexed citations
13.
Asjad, Muhammad Imran, Waqas Ali Faridi, Adil Jhangeer, et al.. (2022). Nonlinear wave train in an inhomogeneous medium with the fractional theory in a plane self-focusing. AIMS Mathematics. 7(5). 8290–8313. 4 indexed citations
14.
Nadeem, Muhammad, et al.. (2022). A Computational Approach for the Calculation of Temperature Distribution in Casting-Mould Heterogeneous System with Fractional Order. Computational and Mathematical Methods in Medicine. 2022. 1–10. 2 indexed citations
15.
Asjad, Muhammad Imran, et al.. (2022). Numerical solutions of fractional Oldroyd-B hybrid nanofluid through a porous medium for a vertical surface. Waves in Random and Complex Media. 35(6). 12137–12157. 13 indexed citations
16.
Asjad, Muhammad Imran, et al.. (2021). Impact of Bioconvection and Chemical Reaction on MHD Nanofluid Flow Due to Exponential Stretching Sheet. Symmetry. 13(12). 2334–2334. 50 indexed citations
17.
Asjad, Muhammad Imran, et al.. (2021). On Soliton Solutions of Perturbed Boussinesq and KdV-Caudery-Dodd-Gibbon Equations. Coatings. 11(11). 1429–1429. 16 indexed citations
18.
Asjad, Muhammad Imran, et al.. (2021). Advancement of Non-Newtonian Fluid with Hybrid Nanoparticles in a Convective Channel and Prabhakar’s Fractional Derivative—Analytical Solution. Fractal and Fractional. 5(3). 99–99. 22 indexed citations
19.
Wang, Fuzhang, Muhammad Imran Asjad, Saif Ur Rehman, et al.. (2021). MHD Williamson Nanofluid Flow over a Slender Elastic Sheet of Irregular Thickness in the Presence of Bioconvection. Nanomaterials. 11(9). 2297–2297. 62 indexed citations
20.
Ahmad, Mushtaq, Muhammad Imran Asjad, Ali Akgül, & Dumitru Bǎleanu. (2020). Analytical solutions for free convection flow of Casson nanofluid over an infinite vertical plate. AIMS Mathematics. 6(3). 2344–2358. 14 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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