Muhammad Imran

118 papers receiving 1.4k citations

Peers

Muhammad Imran
Comparison fields: 5 of 111
  • Statistical and Nonlinear Physics 377
  • Numerical Analysis 146
  • Mechanical Engineering 478
  • Statistics, Probability and Uncertainty 87
  • Electrical and Electronic Engineering 656
Replace R.F. Escobar-Jiménez with:
R.F. Escobar-Jiménez Mexico
Víctor M. Alvarado Mexico
S. Hassan HosseinNia Netherlands
Jeanne M. Peters United States
Linjun Wang China
C. P. Vyasarayani India
Faryar Jabbari United States
Luigi Iannelli Italy
Robert J. Veillette United States
Mohamed Omri Saudi Arabia
Muhammad Imran relative to R.F. Escobar-Jiménez Mexico R.F. Escobar-Jiménez's profile →
Citations per field
00.5×3.1×
R.F. Escobar-Jiménez · 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 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013107
2 201067
3
Estimation of genetic variability and correlation for grain yield components in rice (Oryza sativa L.).
200960
4 201852
5 202050
6 201549
7 201446
8 200845
9 202340
10 201530
11 201430
12 201129
13 201729
14 201727
15 201427
16 201827
17 202226
18 201925
19 202025
20 202224

About Muhammad Imran

Muhammad Imran is a scholar working on Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Mechanical Engineering, Computational Mechanics and Control and Systems Engineering, having authored 123 papers that have together received 1.5k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (40 papers), Hydraulic and Pneumatic Systems (15 papers), Fluid Dynamics and Vibration Analysis (15 papers), Real-time simulation and control systems (12 papers), Numerical methods for differential equations (10 papers), Probabilistic and Robust Engineering Design (10 papers), Nanofluid Flow and Heat Transfer (10 papers) and Advanced MIMO Systems Optimization (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (377 citations), Numerical Analysis (146 citations), Mechanical Engineering (478 citations), Statistics, Probability and Uncertainty (87 citations) and Electrical and Electronic Engineering (656 citations). Muhammad Imran has collaborated with scholars based in Pakistan, Saudi Arabia and Australia. Frequent co-authors include Abdul Ghafoor, Paul Mativenga, Philip J. Withers, A. Gholinia, Victor Sreeram, MuhibUr Rahman, Ahmad Sattar Khan, Muhammad Ashfaq, Wasif Tanveer Khan and Fahad Mumtaz Malik. Their work appears in journals such as IEEE Access, IEEE Transactions on Circuits & Systems II Express Briefs, Transactions on Emerging Telecommunications Technologies, The International Journal of Advanced Manufacturing Technology and RSC 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.

Explore authors with similar magnitude of impact