M. Sankar

1.7k total citations
68 papers, 1.3k citations indexed

About

M. Sankar is a scholar working on Biomedical Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, M. Sankar has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Biomedical Engineering, 52 papers in Computational Mechanics and 48 papers in Mechanical Engineering. Recurrent topics in M. Sankar's work include Nanofluid Flow and Heat Transfer (65 papers), Heat Transfer Mechanisms (33 papers) and Heat and Mass Transfer in Porous Media (31 papers). M. Sankar is often cited by papers focused on Nanofluid Flow and Heat Transfer (65 papers), Heat Transfer Mechanisms (33 papers) and Heat and Mass Transfer in Porous Media (31 papers). M. Sankar collaborates with scholars based in India, South Korea and Oman. M. Sankar's co-authors include Younghae Do, N. Keerthi Reddy, M. Venkatachalappa, Juan M. López, Bongsoo Jang, Fateh Mebarek‐Oudina, Oluwole Daniel Makinde, I. S. Shivakumara, S. Sivasankaran and Junpyo Park and has published in prestigious journals such as Scientific Reports, International Journal of Heat and Mass Transfer and Physics of Fluids.

In The Last Decade

M. Sankar

65 papers receiving 1.3k citations

Peers

M. Sankar

RESE

Nepal Chandra Roy Bangladesh

Emad Hasani Malekshah Iran

Sameh A. Hussein Egypt

Maysam Molana United States

Mohammad Kalteh Iran

Nawaf H. Saeid Malaysia

Hameed K. Hamzah Iraq

P. Bala Anki Reddy India

Siti Suzilliana Putri Mohamed Isa Malaysia

Khaled Al‐Farhany Iraq

Nepal Chandra Roy Bangladesh

M. Sankar

968 ×0.8

775 ×0.8

672 ×0.7

71 ×0.8

RESE

14 ×0.3

Citations per year, relative to M. Sankar M. Sankar (= 1×) peers Nepal Chandra Roy

Countries citing papers authored by M. Sankar

Since Specialization

Citations

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

Fields of papers citing papers by M. Sankar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Sankar

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sankar. A scholar is included among the top collaborators of M. Sankar 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 M. Sankar. M. Sankar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ravindra, Pogaku, et al.. (2025). Double-diffusive magnetoconvection in a tilted porous parallelogrammic domain with discrete heated-cooled segments: Leveraging machine learning and CFD approach. Results in Engineering. 27. 105921–105921. 1 indexed citations

Reddy, N. Keerthi, et al.. (2025). Integrating machine learning with numerical simulations of magneto-convective flow and irreversibility dynamics in a partially porous cavity with hot blocks. Case Studies in Thermal Engineering. 75. 107242–107242.

Sankar, M., et al.. (2025). ANN-Assisted Numerical Study on Buoyant Heat Transfer of Hybrid Nanofluid in an Annular Chamber with Magnetic Field Inclination and Thermal Source–Sink Effects. Energies. 18(17). 4543–4543.

Sankar, M., et al.. (2024). Exploring bioconvection dynamics within an inclined porous annulus: Integration of CFD and AI on the synergistic effects of hybrid nanofluids, oxytactic microorganisms, and magnetic field. International Communications in Heat and Mass Transfer. 159. 107999–107999. 7 indexed citations

Do, Younghae, et al.. (2024). Computational analysis of magnetohydrodynamic ternary-hybrid nanofluid flow and heat transfer inside a porous cavity with shape effects. Physics of Fluids. 36(8). 15 indexed citations

Moatimid, Galal M., Mona A. A. Mohamed, Khaled Elagamy, & M. Sankar. (2024). A pulsatile movement of an annular Ree–Eyring nanofluid with gyrotactic motile microorganisms and time-varying conditions. Numerical Heat Transfer Part A Applications. 86(24). 8693–8720. 7 indexed citations

Umavathi, J. C., M. Sankar, O. Anwar Bég, & Ali J. Chamkha. (2023). Computation of couple stress electroconductive polymer from an exponentially stretching sheet. Chinese Journal of Physics. 86. 75–89. 5 indexed citations

Sankar, M., et al.. (2023). Optimization of entropy generation and thermal mechanism of MHD hybrid nanoliquid flow in a sinusoidally heated porous cylindrical chamber. Case Studies in Thermal Engineering. 51. 103615–103615. 15 indexed citations

Reddy, N. Keerthi, et al.. (2023). Impact of internal heat generation/absorption on MHD conjugate flow of aqueous-MWCNT nanofluid in a porous annulus. Journal of Thermal Analysis and Calorimetry. 149(13). 7025–7039. 7 indexed citations

10.

Sankar, M., et al.. (2022). Impact of thermal and solute source-sink combination on thermosolutal convection in a partially active porous annulus. Physica Scripta. 97(5). 55206–55206. 18 indexed citations

11.

Altmeyer, Sebastian, M. Sankar, & Younghae Do. (2022). Bifurcation phenomena in Taylor–Couette flow in a very short annulus with radial through-flow. Scientific Reports. 12(1). 22113–22113. 1 indexed citations

12.

Sankar, M., et al.. (2022). Entropy and energy analysis of MHD nanofluid thermal transport in a non-uniformly heated annulus. Waves in Random and Complex Media. 35(7). 13855–13890. 7 indexed citations

13.

Sankar, M., et al.. (2022). Double diffusive convective transport and entropy generation in an annular space filled with alumina-water nanoliquid. The European Physical Journal Special Topics. 231(13-14). 2781–2800. 21 indexed citations

14.

Sankar, M., N. Keerthi Reddy, & Younghae Do. (2021). Conjugate buoyant convective transport of nanofluids in an enclosed annular geometry. Scientific Reports. 11(1). 17122–17122. 26 indexed citations

15.

Sankar, M., et al.. (2021). Buoyant Convective Flow and Heat Dissipation of Cu–H₂O Nanoliquids in an Annulus Through a Thin Baffle. Journal of Nanofluids. 10(2). 292–304. 68 indexed citations

16.

Sankar, M., et al.. (2021). Thermal effects of nonuniform heating in a nanofluid‐filled annulus: Buoyant transport versus entropy generation. Heat Transfer. 51(1). 1062–1091. 30 indexed citations

17.

Sankar, M., et al.. (2018). Buoyant convection in porous annulus with discrete sources-sink pairs and internal heat generation. Journal of Physics Conference Series. 1139. 12026–12026. 4 indexed citations

18.

Sankar, M., et al.. (2016). Influence of Size and Location of a Thin Baffle on Natural Convection in a Vertical Annular Enclosure. Journal of Applied Fluid Mechanics. 9(6). 2671–2684. 15 indexed citations

19.

Sankar, M., Junpyo Park, & Younghae Do. (2011). Natural Convection in a Vertical Annuli with Discrete Heat Sources. Numerical Heat Transfer Part A Applications. 59(8). 594–615. 25 indexed citations

20.

Sankar, M., M. Venkatachalappa, & I. S. Shivakumara. (2006). Effect of magnetic field on natural convection in a vertical cylindrical annulus. International Journal of Engineering Science. 44(20). 1556–1570. 76 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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