Md. Mamun Molla

2.7k total citations
168 papers, 2.2k citations indexed

About

Md. Mamun Molla is a scholar working on Computational Mechanics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Md. Mamun Molla has authored 168 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Computational Mechanics, 121 papers in Biomedical Engineering and 63 papers in Mechanical Engineering. Recurrent topics in Md. Mamun Molla's work include Nanofluid Flow and Heat Transfer (121 papers), Fluid Dynamics and Turbulent Flows (71 papers) and Lattice Boltzmann Simulation Studies (48 papers). Md. Mamun Molla is often cited by papers focused on Nanofluid Flow and Heat Transfer (121 papers), Fluid Dynamics and Turbulent Flows (71 papers) and Lattice Boltzmann Simulation Studies (48 papers). Md. Mamun Molla collaborates with scholars based in Bangladesh, Australia and United Kingdom. Md. Mamun Molla's co-authors include M. A. Hossain, Manosh C. Paul, Preetom Nag, Sadia Siddiqa, Suvash C. Saha, Lun-Shin Yao, Amirul Khan, L. S. Yao, Md. Kamrujjaman and Giles Roditi and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Heat and Mass Transfer and Fuel.

In The Last Decade

Md. Mamun Molla

159 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md. Mamun Molla Bangladesh 25 1.6k 1.4k 925 253 172 168 2.2k
Ali Cemal Beni̇m Germany 31 786 0.5× 1.1k 0.8× 1.2k 1.3× 217 0.9× 103 0.6× 134 2.2k
Majid Zarringhalam Iran 22 1.4k 0.9× 550 0.4× 1.3k 1.4× 90 0.4× 103 0.6× 33 1.9k
N. S. Vlachos Greece 20 695 0.4× 812 0.6× 559 0.6× 139 0.5× 103 0.6× 52 1.3k
Wojciech Adamczyk Poland 22 562 0.4× 804 0.6× 343 0.4× 455 1.8× 45 0.3× 94 1.6k
A. Theodorakakos Greece 25 376 0.2× 1.3k 0.9× 311 0.3× 319 1.3× 158 0.9× 52 1.9k
M. A. Mansour Egypt 34 2.9k 1.8× 2.0k 1.4× 2.2k 2.4× 95 0.4× 261 1.5× 142 3.7k
O. Pourmehran Iran 21 1.2k 0.8× 628 0.4× 1.0k 1.1× 84 0.3× 57 0.3× 40 1.9k
Richard Figliola United States 18 540 0.3× 441 0.3× 482 0.5× 60 0.2× 241 1.4× 61 1.6k
Liancun Zheng China 22 1.7k 1.1× 1.2k 0.8× 1.4k 1.5× 196 0.8× 20 0.1× 120 2.1k
Navid Freidoonimehr Iran 22 2.1k 1.4× 1.6k 1.1× 1.9k 2.0× 158 0.6× 87 0.5× 46 2.4k

Countries citing papers authored by Md. Mamun Molla

Since Specialization
Citations

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

Fields of papers citing papers by Md. Mamun Molla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Mamun Molla. 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 Md. Mamun Molla. The network helps show where Md. Mamun Molla may publish in the future.

Co-authorship network of co-authors of Md. Mamun Molla

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Mamun Molla. A scholar is included among the top collaborators of Md. Mamun Molla 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 Md. Mamun Molla. Md. Mamun Molla 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
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Molla, Md. Mamun, et al.. (2025). Three-dimensional D3Q27 multiple-relaxation-time lattice Boltzmann simulation of Herschel–Bulkley viscoelastic fluids in a cubic cavity with top lid driven diagonally. Mathematics and Computers in Simulation. 234. 419–437. 1 indexed citations
3.
Akter, Hasina, et al.. (2025). Thermophoretic effects on thermosolutal natural convection in concentric cylindrical systems. Chinese Journal of Physics. 97. 259–283. 1 indexed citations
4.
Molla, Md. Mamun, et al.. (2025). Double-diffusive mixed convection and entropy generation of Fe3O4-CoFe2O4-water hybrid nanofluid in an enclosure with a heated wavy cylinder. Results in Engineering. 25. 104345–104345. 6 indexed citations
5.
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Nag, Preetom, et al.. (2024). Convective heat transfer efficacy of an experimentally observed non-Newtonian MWCNT-Fe3O4-EG hybrid nanofluid in a driven enclosure with a heated cylinder. International Journal of Thermal Sciences. 204. 109203–109203. 7 indexed citations
7.
Molla, Md. Mamun, et al.. (2024). A parallel computational study of power-law non-Newtonian nanofluid in a C-shaped enclosure by multiple-relaxation-time lattice Boltzmann simulation. International Journal of Modelling and Simulation. 46(1). 319–348. 3 indexed citations
8.
Akter, Hasina, et al.. (2024). Magnetohydrodynamic natural convection and sensitivity analysis of heat and mass transfer of non-Newtonian fluid in concentric cylinders with wall heat and mass flux. Multiscale and Multidisciplinary Modeling Experiments and Design. 8(1). 4 indexed citations
9.
Kamrujjaman, Md., et al.. (2024). Analysis of a Data‐Driven Vector‐Borne Dengue Transmission Model for a Tropical Environment in Bangladesh. International Journal of Differential Equations. 2024(1). 1 indexed citations
10.
Molla, Md. Mamun, et al.. (2024). Magnetohydrodynamic Effects on Double Diffusion of Non‐Newtonian Hybrid Nanofluid in Circular Eccentric Annuli. Engineering Reports. 7(1). 1 indexed citations
11.
Molla, Md. Mamun, et al.. (2023). Lattice Boltzmann simulation of cross diffusion via Soret and Dufour effects on natural convection of experimental data based MWCNTs-H 2 O nanofluids in an L-shaped enclosure. International Journal of Thermofluids. 21. 100546–100546. 13 indexed citations
12.
Molla, Md. Mamun, et al.. (2023). LBM-MHD Data-Driven Approach to Predict Rayleigh–Bénard Convective Heat Transfer by Levenberg–Marquardt Algorithm. Axioms. 12(2). 199–199. 8 indexed citations
13.
Molla, Md. Mamun, et al.. (2023). Implicit Finite Difference Simulation of Hybrid Nanofluid along a Vertical Thin Cylinder with Sinusoidal Wall Heat Flux under the Effects of Magnetic Field. Advances in Mathematical Physics. 2023. 1–18. 5 indexed citations
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Nag, Preetom, et al.. (2022). Non-Newtonian effects on MHD thermosolutal free convection and entropy production of nanofluids in a rectangular enclosure using the GPU-based mesoscopic simulation. Waves in Random and Complex Media. 35(6). 10928–10960. 13 indexed citations
16.
Siddiqa, Sadia, et al.. (2022). FVM-RANS Modeling of Air Pollutants Dispersion and Traffic Emission in Dhaka City on a Suburb Scale. Sustainability. 15(1). 673–673. 10 indexed citations
17.
Siddiqa, Sadia, et al.. (2021). Carreau ferrofluid flow with inclined magnetic field in an enclosure having heated cylinder. Physica Scripta. 96(10). 105007–105007. 10 indexed citations
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Kamrujjaman, Md., et al.. (2021). Vaccine efficacy and SARS-CoV-2 control in California and U.S. during the session 2020–2026: A modeling study. Infectious Disease Modelling. 7(1). 62–81. 24 indexed citations
20.
Molla, Md. Mamun, et al.. (2012). Natural Convection Flow in a Porous Enclosure with Localized Heating from Below. QUT ePrints (Queensland University of Technology). 7 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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