Ilyas Khan

25.6k total citations
940 papers, 21.6k citations indexed

About

Ilyas Khan is a scholar working on Biomedical Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Ilyas Khan has authored 940 papers receiving a total of 21.6k indexed citations (citations by other indexed papers that have themselves been cited), including 703 papers in Biomedical Engineering, 509 papers in Mechanical Engineering and 433 papers in Computational Mechanics. Recurrent topics in Ilyas Khan's work include Nanofluid Flow and Heat Transfer (692 papers), Heat Transfer Mechanisms (406 papers) and Fluid Dynamics and Turbulent Flows (338 papers). Ilyas Khan is often cited by papers focused on Nanofluid Flow and Heat Transfer (692 papers), Heat Transfer Mechanisms (406 papers) and Fluid Dynamics and Turbulent Flows (338 papers). Ilyas Khan collaborates with scholars based in Saudi Arabia, Pakistan and Vietnam. Ilyas Khan's co-authors include Sharidan Shafie, Kottakkaran Sooppy Nisar, Farhad Ali, Muhammad Saqib, Nadeem Ahmad Sheikh, Kashif Ali Abro, Zurni Omar, Liaquat Ali Lund, Mohd Zuki Salleh and Iskander Tlili and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Ilyas Khan

900 papers receiving 20.8k citations

Author Peers

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

Author Last Decade Papers Cites
Ilyas Khan 16.7k 12.2k 10.2k 5.1k 1.6k 940 21.6k
Mohammad Mehdi Rashidi 16.8k 1.0× 13.9k 1.1× 12.2k 1.2× 2.4k 0.5× 1.5k 0.9× 537 22.1k
Kottakkaran Sooppy Nisar 9.0k 0.5× 7.3k 0.6× 6.0k 0.6× 8.2k 1.6× 653 0.4× 1.1k 21.9k
Yu‐Ming Chu 8.3k 0.5× 7.6k 0.6× 5.5k 0.5× 4.7k 0.9× 585 0.4× 935 28.7k
Poom Kumam 7.8k 0.5× 6.0k 0.5× 6.4k 0.6× 3.0k 0.6× 589 0.4× 1.1k 20.1k
D.D. Ganji 29.8k 1.8× 26.6k 2.2× 18.8k 1.8× 7.2k 1.4× 2.0k 1.3× 793 41.3k
R. Ellahi 21.9k 1.3× 15.8k 1.3× 14.9k 1.5× 1.6k 0.3× 2.4k 1.6× 339 25.0k
Saeed Islam 8.2k 0.5× 6.4k 0.5× 5.8k 0.6× 2.2k 0.4× 840 0.5× 425 11.5k
S. Nadeem 24.8k 1.5× 17.3k 1.4× 17.5k 1.7× 1.7k 0.3× 3.4k 2.2× 691 26.4k
Muhammad Asif Zahoor Raja 6.6k 0.4× 5.2k 0.4× 5.6k 0.6× 5.4k 1.1× 539 0.3× 724 19.4k
Shijun Liao 9.2k 0.5× 5.2k 0.4× 6.2k 0.6× 9.8k 1.9× 1.7k 1.1× 263 19.4k

Countries citing papers authored by Ilyas Khan

Since Specialization
Citations

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

Fields of papers citing papers by Ilyas Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ilyas Khan. 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 Ilyas Khan. The network helps show where Ilyas Khan may publish in the future.

Co-authorship network of co-authors of Ilyas Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Ilyas Khan. A scholar is included among the top collaborators of Ilyas Khan 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 Ilyas Khan. Ilyas Khan 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.
Rafique, Khuram, et al.. (2025). Significance of thermal radiation in stability analysis and triple solutions for magnetized micropolar Buongiorno's nanofluid model. Journal of Radiation Research and Applied Sciences. 18(1). 101316–101316. 4 indexed citations
2.
Ullah, Hakeem, Mehreen Fiza, Ali Akgül, et al.. (2025). Effects of Joule heating on MHD flow of hybrid nanofluid between rotating disks. Journal of Radiation Research and Applied Sciences. 18(2). 101341–101341. 1 indexed citations
3.
Galal, Ahmed M., et al.. (2025). Optimizing thermal and solutal dynamics trihybrid nanofluid fluid flow in industrial processes: The potential of thermal radiation and chemical reaction. Journal of Radiation Research and Applied Sciences. 18(2). 101413–101413. 3 indexed citations
4.
5.
Li, Shuguang, M. Ijaz Khan, Shahid Ali, et al.. (2024). Influence of variable fluid properties on mixed convective Darcy–Forchheimer flow relation over a surface with Soret and Dufour spectacle. Open Physics. 22(1). 26 indexed citations
6.
Panda, Sumati Kumari, et al.. (2024). Enhancing automic and optimal control systems through graphical structures. Scientific Reports. 14(1). 3139–3139. 2 indexed citations
7.
Vaidya, Hanumesh, Dharmendra Tripathi, Rajashekhar Choudhari, et al.. (2024). Significance of thermal radiation on peristaltic flow of Phan-Thien-Tanner MHD nanofluid containing gold nanoparticles with applications in cancer medications. SHILAP Revista de lepidopterología. 18(1). 101212–101212. 5 indexed citations
8.
Boujelbene, Mohamed, Aaqib Majeed, Nouman Ijaz, et al.. (2024). Cattaneo-christov heat flux theory in tangent hyperbolic hybrid nanofluids with thermal radiation for renewable energy applications. Journal of Radiation Research and Applied Sciences. 17(4). 101139–101139. 10 indexed citations
9.
Khedher, Nidhal Ben, Zia Ullah, Mohamed Boujelbene, et al.. (2024). Variable viscosity and activation energy aspects in convection heat transfer over gravity driven solar collector plate for thermal energy storage. Scientific Reports. 14(1). 27239–27239. 2 indexed citations
10.
Iranian, D., et al.. (2024). Viscoelasticity of Maxwell fluid in a permeable porous channel. 3(1). 4 indexed citations
11.
Haq, Sami Ul, et al.. (2024). A comparative analysis of three distinct fractional derivatives for a second grade fluid with heat generation and chemical reaction. Scientific Reports. 14(1). 4482–4482. 1 indexed citations
12.
Ali, Farhad, et al.. (2023). Biomedical applications of gold nanoparticles in thermofluids flow through a porous medium. International Journal of Thermofluids. 20. 100425–100425. 12 indexed citations
13.
Iranian, D., et al.. (2023). Thermofluid of Maxwellian type past a porous stretching cylinder with heat generation and chemical reaction. International Journal of Thermofluids. 20. 100444–100444. 11 indexed citations
14.
Zhang, Yongzhe, Connor A. Olson, Ilyas Khan, & Sigurd Angenent. (2023). Nonconvex ancient solutions to curve shortening flow. Transactions of the American Mathematical Society.
15.
Khan, Muhammad Farooq Saleem, Xu Zhou, Ghulam Bary, et al.. (2023). Method development for simultaneous estimation of Amlodipine Besylate and Perindopril Tertbutyl amine in fixed-dose. Heliyon. 9(3). e14209–e14209. 1 indexed citations
16.
Shuaib, Muhammad, et al.. (2023). Volumetric thermo-convective casson fluid flow over a nonlinear inclined extended surface. Scientific Reports. 13(1). 6324–6324. 10 indexed citations
17.
18.
Mohamad, Ahmad Qushairi, et al.. (2020). Unsteady Flow of Rotating Brinkman Type Fluid in Moving Disk. ASM Science Journal.
19.
Ashraf, Muhammad Usman, et al.. (2020). Computational Analysis of the Effect of Nano Particle Material Motion on Mixed Convection Flow in the Presence of Heat Generation and Absorption. Computers, materials & continua/Computers, materials & continua (Print). 65(2). 1809–1823. 26 indexed citations
20.
Seikh, Asiful H., Akinbowale T. Akinshilo, Mohammad Hasan Taheri, et al.. (2019). Influence of the nanoparticles and uniform magnetic field on the slip blood flows in arterial vessels. Physica Scripta. 94(12). 125218–125218. 60 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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