Muhammad Imran

230 papers receiving 5.6k citations

Peers

Muhammad Imran
Comparison fields: 5 of 144
  • Modeling and Simulation 893
  • Computational Mechanics 2.8k
  • Biomedical Engineering 4.5k
  • Mechanical Engineering 3.2k
  • Fluid Flow and Transfer Processes 494
Replace Waris Khan with:
Waris Khan Pakistan
Awatif A. Hendi Saudi Arabia
M. Waqas Pakistan
Jae Dong Chung South Korea
Shaowei Wang China
Anum Shafiq Pakistan
Shafqat Hussain Pakistan
M.Y. Malik Pakistan
Umar Khan Pakistan
Hamed Alsulami Saudi Arabia
Muhammad Imran relative to Waris Khan Pakistan Waris Khan's profile →
Citations per field
00.5×4.4×
Waris Khan · 1×
Citations per year

Countries citing papers authored by Muhammad Imran

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Imran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019184
2 2018143
3 2014139
4 2019135
5 2022130
6 2016115
7 2020113
8 2019112
9 2020103
10 2022100
11 202197
12 202290
13 202189
14 202089
15 201884
16 202179
17 201077
18 202077
19 201976
20 202276

About Muhammad Imran

Muhammad Imran is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Modeling and Simulation and Fluid Flow and Transfer Processes, having authored 240 papers that have together received 5.8k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (171 papers), Heat Transfer Mechanisms (95 papers), Fluid Dynamics and Turbulent Flows (81 papers), Fractional Differential Equations Solutions (49 papers), Heat Transfer and Optimization (42 papers), Rheology and Fluid Dynamics Studies (30 papers), Fluid Dynamics and Vibration Analysis (18 papers) and Nonlinear Waves and Solitons (15 papers). The work is most often cited by research in Modeling and Simulation (893 citations), Computational Mechanics (2.8k citations), Biomedical Engineering (4.5k citations), Mechanical Engineering (3.2k citations) and Fluid Flow and Transfer Processes (494 citations). Muhammad Imran has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Hassan Waqas, Sami Ullah Khan, Taseer Muhammad, Umar Farooq, M. M. Bhatti, Ilyas Khan, Ali Akgül, Nehad Ali Shah, Hamood Ur Rehman and Iskander Tlili. Their work appears in journals such as Case Studies in Thermal Engineering, Scientific Reports, Alexandria Engineering Journal, Journal of Thermal Analysis and Calorimetry and International Communications in Heat and Mass Transfer.

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.

Explore authors with similar magnitude of impact