Muhammad Taj

37 papers receiving 407 citations

Peers

Muhammad Taj
Comparison fields: 5 of 65
  • Modeling and Simulation 27
  • Computational Mechanics 107
  • Fluid Flow and Transfer Processes 30
  • Mechanics of Materials 119
  • Biomedical Engineering 184
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E. Kirkinis United States
Saneshan Govender South Africa
Vít Průša Czechia
L. I. Manevich Russia
Takeshi Ooshida Japan
Michael Groß Germany
Maurizio Vianello Italy
Zhongwei Wang China
Magda Abd El‐Rahman Saudi Arabia
Marco Berghoff Germany
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Citations per year

Countries citing papers authored by Muhammad Taj

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Taj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Taj, 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 Muhammad Taj Line = papers co-authored together Muhammad Taj links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202043
2 201942
3 202040
4 201924
5 201922
6 202319
7 201318
8 202017
9 201516
10 202015
11 202013
12 202413
13 202413
14 202213
15 201912
16 201910
17 201910
18 202110
19 20209
20 20249

About Muhammad Taj

Muhammad Taj is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Materials Chemistry and Mechanics of Materials, having authored 41 papers that have together received 414 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (19 papers), Fluid Dynamics and Turbulent Flows (12 papers), Heat Transfer Mechanisms (10 papers), Nonlocal and gradient elasticity in micro/nano structures (9 papers), Rheology and Fluid Dynamics Studies (6 papers), Composite Structure Analysis and Optimization (5 papers), Microtubule and mitosis dynamics (4 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). The work is most often cited by research in Modeling and Simulation (27 citations), Computational Mechanics (107 citations), Fluid Flow and Transfer Processes (30 citations), Mechanics of Materials (119 citations) and Biomedical Engineering (184 citations). Muhammad Taj has collaborated with scholars based in Pakistan, Saudi Arabia and South Africa. Frequent co-authors include Muzamal Hussain, Manzoor Ahmad, Abdelouahed Tounsi, Muhammad Naeem, Junqian Zhang, A. Abbasi, Iftikhar Ahmad, Sabir Ali Shehzad, Muhammad Asad Iqbal and Qamar Din. Their work appears in journals such as Advances in nano research, Computers and Concrete, an International Journal, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, Steel and Composite Structures and AIP Advances.

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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