Muhammad Amar
Impact in
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- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Control and Dynamics of Mobile Robots
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- Gear and Bearing Dynamics Analysis
Papers in
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- Machine Fault Diagnosis Techniques 6
- Control and Dynamics of Mobile Robots 5
- Fault Detection and Control Systems 5
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- Robotic Path Planning Algorithms 10
- Co-authors
- Iqbal Gondal (6 shared papers)Campbell Wilson (5 shared papers)Umar Farooq (18 shared papers)Muhammad Usman Asad (12 shared papers)Athar Hanif (6 shared papers)Md. Mamunur Rashid (1 shared paper)Joarder Kamruzzaman (1 shared paper)Tanveer Ul Haq (1 shared paper)
- Journals
- Applied Intelligence (1 paper)IEEE Transactions on Industrial Electronics (1 paper)Lecture notes in computer science (2 papers)Advanced materials research (1 paper)International Journal of Machine Learning and Computing (1 paper)
In The Last Decade
Muhammad Amar
27 papers receiving 391 citations
Peers
Comparison fields: 5 of 53
- Control and Systems Engineering 256
- Mechanical Engineering 159
- Media Technology 33
- Computer Vision and Pattern Recognition 73
- Mechanics of Materials 72
Countries citing papers authored by Muhammad Amar
This map shows the geographic impact of Muhammad Amar'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 Amar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Amar more than expected).
Fields of papers citing papers by Muhammad Amar
This network shows the impact of papers produced by Muhammad Amar. 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 Amar. The network helps show where Muhammad Amar may publish in the future.
Co-authors
The 18 scholars most cited alongside Muhammad Amar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 197 | |
| 2 | 2014 | 46 | |
| 3 | 2016 | 21 | |
| 4 | 2010 | 19 | |
| 5 | 2014 | 18 | |
| 6 | 2010 | 16 | |
| 7 | 2010 | 15 | |
| 8 | 2010 | 13 | |
| 9 | 2012 | 9 | |
| 10 | 2010 | 9 | |
| 11 | 2014 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2013 | 7 | |
| 14 | 2010 | 7 | |
| 15 | 2010 | 6 | |
| 16 | 2011 | 3 | |
| 17 | 2013 | 3 | |
| 18 | 2010 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2013 | 2 |
About Muhammad Amar
Muhammad Amar is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Mechanical Engineering and Automotive Engineering, having authored 30 papers that have together received 422 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (10 papers), Machine Fault Diagnosis Techniques (6 papers), Control and Dynamics of Mobile Robots (5 papers), Fault Detection and Control Systems (5 papers), Autonomous Vehicle Technology and Safety (4 papers), IoT-based Smart Home Systems (4 papers), Fuzzy Logic and Control Systems (2 papers) and Robotic Locomotion and Control (2 papers). The work is most often cited by research in Control and Systems Engineering (256 citations), Mechanical Engineering (159 citations), Media Technology (33 citations), Computer Vision and Pattern Recognition (73 citations) and Mechanics of Materials (72 citations). Muhammad Amar has collaborated with scholars based in Pakistan, Australia and Indonesia. Frequent co-authors include Iqbal Gondal, Campbell Wilson, Umar Farooq, Muhammad Usman Asad, Athar Hanif, Md. Mamunur Rashid, Joarder Kamruzzaman, Tanveer Ul Haq, Shareen Shafique and Ghulam Abbas. Their work appears in journals such as Applied Intelligence, IEEE Transactions on Industrial Electronics, Lecture notes in computer science, Advanced materials research and International Journal of Machine Learning and Computing.
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.