Muhammad Umer Farooq
Impact in
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- Analytical Chemistry and Sensors
- Control and Systems Engineering top 10%
- Microgrid Control and Optimization
- Smart Grid Security and Resilience
- Robot Manipulation and Learning
Papers in
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- Low-power high-performance VLSI design 4
- VLSI and FPGA Design Techniques 3
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- Robot Manipulation and Learning 5
- Robotic Mechanisms and Dynamics 4
- Dynamics and Control of Mechanical Systems 3
- Co-authors
- Anzar Mahmood (2 shared papers)Nadeem Javaid (2 shared papers)Sultan Daud Khan (3 shared papers)Likun Xia (7 shared papers)Qayyum Zafar (1 shared paper)Muhammad Tariq Saeed Chani (1 shared paper)Aamir Saeed Malik (4 shared papers)F.A. Khalid (1 shared paper)
In The Last Decade
Muhammad Umer Farooq
38 papers receiving 361 citations
Peers
Comparison fields: 5 of 79
- Bioengineering 28
- Control and Systems Engineering 106
- Electrical and Electronic Engineering 174
- Hardware and Architecture 18
- Computer Vision and Pattern Recognition 54
Countries citing papers authored by Muhammad Umer Farooq
This map shows the geographic impact of Muhammad Umer Farooq'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 Umer Farooq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Umer Farooq more than expected).
Fields of papers citing papers by Muhammad Umer Farooq
This network shows the impact of papers produced by Muhammad Umer Farooq. 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 Umer Farooq. The network helps show where Muhammad Umer Farooq may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Umer Farooq, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 55 | |
| 2 | 2013 | 42 | |
| 3 | 2012 | 39 | |
| 4 | 2019 | 28 | |
| 5 | 2021 | 21 | |
| 6 | 2008 | 16 | |
| 7 | 2022 | 15 | |
| 8 | 2019 | 13 | |
| 9 | 2012 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2012 | 11 | |
| 14 | 2007 | 10 | |
| 15 | 2019 | 7 | |
| 16 | 2002 | 7 | |
| 17 | 2013 | 6 | |
| 18 | 2008 | 6 | |
| 19 | 2014 | 5 | |
| 20 | 2011 | 5 |
About Muhammad Umer Farooq
Muhammad Umer Farooq is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 43 papers that have together received 375 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Low-power high-performance VLSI design (4 papers), Robotic Path Planning Algorithms (4 papers), Robotic Mechanisms and Dynamics (4 papers), VLSI and Analog Circuit Testing (4 papers), Anomaly Detection Techniques and Applications (3 papers), VLSI and FPGA Design Techniques (3 papers) and Dynamics and Control of Mechanical Systems (3 papers). The work is most often cited by research in Bioengineering (28 citations), Control and Systems Engineering (106 citations), Electrical and Electronic Engineering (174 citations), Hardware and Architecture (18 citations) and Computer Vision and Pattern Recognition (54 citations). Muhammad Umer Farooq has collaborated with scholars based in Pakistan, Malaysia and China. Frequent co-authors include Anzar Mahmood, Nadeem Javaid, Sultan Daud Khan, Likun Xia, Qayyum Zafar, Muhammad Tariq Saeed Chani, Aamir Saeed Malik, F.A. Khalid, Mohamad Naufal Mohamad Saad and Daobo Wang. Their work appears in journals such as International Journal of Engineering Science, The Imaging Science Journal, The Visual Computer, IET Systems Biology and Vaccine.
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.