M. J. Uddin

762 citations
54 papers · 624 · h-index 16

Impact in

    • Fluid Dynamics and Turbulent Flows
    • Heat and Mass Transfer in Porous Media
    • Fluid Dynamics and Thin Films
    • Lattice Boltzmann Simulation Studies
    • Nanofluid Flow and Heat Transfer

Papers in

M. J. Uddin

49 papers receiving 592 citations

Peers

M. J. Uddin
Comparison fields: 5 of 78
  • Computational Mechanics 285
  • Biomedical Engineering 451
  • Mechanical Engineering 357
  • Renewable Energy, Sustainability and the Environment 56
  • Soil Science 25
Replace Alireza Shahriari with:
Alireza Shahriari Iran
U. Ruiz‐Rivas Spain
Catharina Erlich Sweden
Yi Xia China
Alok Chaube India
Yitao Liao China
Mehmet Emin Bilgili Türkiye
Lasse Holst Sørensen Denmark
Jean‐Claude Bénet France
Piotr Parafiniuk Poland
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Citations per field
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Citations per year

Countries citing papers authored by M. J. Uddin

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. J. Uddin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. J. Uddin Line = papers co-authored together M. J. Uddin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fundamentals of nanofluids: evolution, applications and new theory
201654
2 201850
3 202247
4 202241
5 201740
6 201639
7 201931
8 201928
9 202228
10 201224
11 201721
12 202021
13 202220
14 202120
15 202317
16 201615
17 200311
18 202011
19 19709
20 20048

About M. J. Uddin

M. J. Uddin is a scholar working on Biomedical Engineering, Mechanical Engineering, Computational Mechanics, Plant Science and Soil Science, having authored 54 papers that have together received 624 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (27 papers), Heat Transfer Mechanisms (14 papers), Heat Transfer and Optimization (13 papers), Fluid Dynamics and Turbulent Flows (6 papers), Fluid Dynamics and Thin Films (5 papers), Rice Cultivation and Yield Improvement (4 papers), Heat and Mass Transfer in Porous Media (4 papers) and Solar Thermal and Photovoltaic Systems (3 papers). The work is most often cited by research in Computational Mechanics (285 citations), Biomedical Engineering (451 citations), Mechanical Engineering (357 citations), Renewable Energy, Sustainability and the Environment (56 citations) and Soil Science (25 citations). M. J. Uddin has collaborated with scholars based in Bangladesh, Oman and United States. Frequent co-authors include M.M. Rahman, M. S. Alam, Nasser Al-Salti, Jimoh K. Adewole, I. A. Eltayeb, Md Mizanur Rahman, Rehena Nasrin, K. Vajravelu, Md. Mainul Hasan and Rahul Deb. Their work appears in journals such as International Journal of Thermofluids, Thermal Science and Engineering Progress, ACS Applied Electronic Materials, Results in Engineering and Journal of Environmental Management.

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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