Adil Darvesh

812 total citations
38 papers, 606 citations indexed

About

Adil Darvesh is a scholar working on Biomedical Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Adil Darvesh has authored 38 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 24 papers in Computational Mechanics and 24 papers in Mechanical Engineering. Recurrent topics in Adil Darvesh's work include Nanofluid Flow and Heat Transfer (37 papers), Heat Transfer Mechanisms (17 papers) and Fluid Dynamics and Turbulent Flows (14 papers). Adil Darvesh is often cited by papers focused on Nanofluid Flow and Heat Transfer (37 papers), Heat Transfer Mechanisms (17 papers) and Fluid Dynamics and Turbulent Flows (14 papers). Adil Darvesh collaborates with scholars based in Pakistan, Peru and Saudi Arabia. Adil Darvesh's co-authors include Assad Ayub, Gilder Cieza Altamirano, Manuel Sánchez‐Chero, Zulqurnain Sabir, Syed Zahir Hussain Shah, Hakim AL Garalleh, Adebowale Martins Obalalu, Ahmed S. Hendy, Tanveer Sajid and Hafiz Abdul Wahab and has published in prestigious journals such as Applied Sciences, International Journal for Numerical Methods in Fluids and Case Studies in Thermal Engineering.

In The Last Decade

Adil Darvesh

38 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adil Darvesh Pakistan 17 580 398 317 66 38 38 606
Winifred N. Mutuku Kenya 13 610 1.1× 486 1.2× 398 1.3× 31 0.5× 29 0.8× 29 660
Sohail Rehman Pakistan 17 671 1.2× 444 1.1× 468 1.5× 41 0.6× 15 0.4× 71 718
Muhammad Jawad Pakistan 18 779 1.3× 576 1.4× 531 1.7× 43 0.7× 42 1.1× 47 814
Essam M. Elsaid Saudi Arabia 14 537 0.9× 342 0.9× 379 1.2× 33 0.5× 9 0.2× 50 577
Mohamed Rafik Sari Algeria 15 521 0.9× 454 1.1× 290 0.9× 35 0.5× 16 0.4× 62 604
Tosin Oreyeni Nigeria 14 425 0.7× 291 0.7× 295 0.9× 50 0.8× 24 0.6× 22 475
Y.M. Mahrous Saudi Arabia 10 510 0.9× 396 1.0× 321 1.0× 37 0.6× 17 0.4× 22 560
S. Kuharat United Kingdom 14 461 0.8× 305 0.8× 304 1.0× 38 0.6× 12 0.3× 46 507
S. Eswaramoorthi India 18 866 1.5× 664 1.7× 600 1.9× 46 0.7× 28 0.7× 62 883
Ines Chabani Algeria 5 427 0.7× 362 0.9× 269 0.8× 62 0.9× 13 0.3× 6 515

Countries citing papers authored by Adil Darvesh

Since Specialization
Citations

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

Fields of papers citing papers by Adil Darvesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adil Darvesh

This figure shows the co-authorship network connecting the top 25 collaborators of Adil Darvesh. A scholar is included among the top collaborators of Adil Darvesh 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 Adil Darvesh. Adil Darvesh 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.
Darvesh, Adil, et al.. (2025). Particle size and inter-particle spacing effect on thermal performance of MHD copper nanofluid flow over dual-stretching rectangular frame: ANN-based simulations. Case Studies in Thermal Engineering. 73. 106682–106682. 2 indexed citations
3.
Darvesh, Adil, et al.. (2025). Computational Insights Into Nanoscale Heat Dynamics of Chemically Reactive and Magnetized Carreau Hybrid Bio‐Nanofluid Using a Multilayer Supervised Neural Computing Scheme. International Journal for Numerical Methods in Fluids. 97(6). 940–965. 1 indexed citations
4.
Darvesh, Adil, et al.. (2025). Radiative heat transfer in MHD copper-based polymer nanofluid over a sphere using larger radius and inter particle spacing of nanoparticles. Results in Engineering. 26. 105012–105012. 5 indexed citations
5.
Usman, Usman, Abdelkader Filali, Adil Darvesh, et al.. (2025). MHD natural convection in a differentially heated cavity filled with a Cu-water nanofluid using FVM. Case Studies in Thermal Engineering. 72. 106350–106350. 1 indexed citations
7.
Darvesh, Adil, et al.. (2025). Impact of cubic autocatalysis and infinite shear rate characteristics in MHD Carreau fluid over radiated bi-directional sheet; ANN-based computational scheme. South African Journal of Chemical Engineering. 52. 20–39. 2 indexed citations
8.
Akram, Mohammad, Rania Saadeh, Ahmad Qazza, et al.. (2024). Exploring the dynamic behavior of the two-phase model in radiative non-Newtonian nanofluid flow with Hall current and ion slip effects. Journal of Radiation Research and Applied Sciences. 17(4). 101112–101112. 14 indexed citations
9.
Ayub, Assad, Adil Darvesh, Syed Zahir Hussain Shah, et al.. (2024). Magnetized and quadratic convection based thermal transport in ternary radiative bio-nanofluid via intelligent neural networks: Two hidden layers mechanism. Results in Physics. 65. 107973–107973. 16 indexed citations
10.
Obalalu, Adebowale Martins, et al.. (2024). Improving solar HVAC performance by incorporating sutterby SiO2–Cu/C3H8O2 hybrid nanofluid flow via a collocation based Gegenbauer wavelets technique: Effects of electromagnetic control and Smoluchowksi's temperature slippage. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 104(12). 7 indexed citations
12.
Obalalu, Adebowale Martins, Wafa F. Alfwzan, M. Asif Memon, et al.. (2024). Energy optimization of quadratic thermal convection on two-phase boundary layer flow across a moving vertical flat plate. Case Studies in Thermal Engineering. 55. 104073–104073. 30 indexed citations
13.
Darvesh, Adil, et al.. (2024). Thermal diffusivity of inclined magnetized Cross fluid with temperature dependent thermal conductivity: Spectral Relaxation scheme. Discover Applied Sciences. 6(3). 11 indexed citations
14.
Obalalu, Adebowale Martins, S.H.A.M. Shah, Adil Darvesh, et al.. (2024). Computational Study and Application of the Hamilton and Crosser Model for Ternary Hybrid Nanofluid Flow Past a Riga Wedge with Heterogeneous Catalytic Reaction. NANO. 20(1). 17 indexed citations
15.
Deepalakshmi, P., et al.. (2024). Integrate mathematical modeling for heat dynamics in two-phase casson fluid flow through renal tubes with variable wall properties. Ain Shams Engineering Journal. 16(1). 103183–103183. 12 indexed citations
16.
Darvesh, Adil, et al.. (2024). Numerical simulation of melting heat transport mechanism of Cross nanofluid with multiple features of infinite shear rate over a Falkner‐Skan wedge surface. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 104(11). 17 indexed citations
17.
Obalalu, Adebowale Martins, S.H.A.M. Shah, Adil Darvesh, et al.. (2024). Insight into the Hamilton and Crosser model for ternary hybrid nanofluid flow over a Riga wedge with heterogeneous catalytic reaction. The European Physical Journal Special Topics. 234(8). 2271–2292. 16 indexed citations
20.
Darvesh, Adil, et al.. (2023). Quadratic multiple regression and spectral relaxation approach for inclined magnetized Carreau nanofluid. The European Physical Journal Plus. 138(3). 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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