Umar Farooq
Impact in
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- Microgrid Control and Optimization
- Media Technology top 5%
Papers in
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- Control and Dynamics of Mobile Robots 12
- Adaptive Control of Nonlinear Systems 11
- Advanced Control Systems Design 10
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- Advanced DC-DC Converters 28
- Multilevel Inverters and Converters 26
- Co-authors
- Muhammad Usman Asad (79 shared papers)Ghulam Abbas (53 shared papers)Jason Gu (60 shared papers)M.E. El-Hawary (14 shared papers)Muhammad Amar (18 shared papers)Haitham M. Alzoubi (1 shared paper)Sagheer Abbas (1 shared paper)Munir Ahmad (1 shared paper)
In The Last Decade
Umar Farooq
111 papers receiving 1.1k citations
Umar Farooq's Hit Papers
Peers
Comparison fields: 5 of 95
- Control and Systems Engineering 287
- Media Technology 84
- Electrical and Electronic Engineering 474
- Artificial Intelligence 267
- Energy Engineering and Power Technology 23
Countries citing papers authored by Umar Farooq
This map shows the geographic impact of Umar 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 Umar Farooq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umar Farooq more than expected).
Fields of papers citing papers by Umar Farooq
This network shows the impact of papers produced by Umar 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 Umar Farooq. The network helps show where Umar Farooq may publish in the future.
Co-authors
The 25 scholars most cited alongside Umar 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fusion-Based Supply Chain Collaboration Using Machine Learning Techniques Hit paper breakdown → | 2021 | 201 |
| 2 | 2017 | 99 | |
| 3 | 2017 | 62 | |
| 4 | 2019 | 46 | |
| 5 | 2014 | 46 | |
| 6 | 2016 | 42 | |
| 7 | 2020 | 39 | |
| 8 | 2016 | 35 | |
| 9 | 2016 | 26 | |
| 10 | 2016 | 21 | |
| 11 | 2010 | 19 | |
| 12 | 2019 | 19 | |
| 13 | 2014 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2010 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2010 | 15 | |
| 18 | 2011 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2017 | 14 |
About Umar Farooq
Umar Farooq is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 121 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced DC-DC Converters (28 papers), Multilevel Inverters and Converters (26 papers), Robotic Path Planning Algorithms (17 papers), Teleoperation and Haptic Systems (17 papers), Fuzzy Logic and Control Systems (15 papers), Control and Dynamics of Mobile Robots (12 papers), Adaptive Control of Nonlinear Systems (11 papers) and Advanced Control Systems Design (10 papers). The work is most often cited by research in Control and Systems Engineering (287 citations), Media Technology (84 citations), Electrical and Electronic Engineering (474 citations), Artificial Intelligence (267 citations) and Energy Engineering and Power Technology (23 citations). Umar Farooq has collaborated with scholars based in Pakistan, Canada and Romania. Frequent co-authors include Muhammad Usman Asad, Ghulam Abbas, Jason Gu, M.E. El-Hawary, Muhammad Amar, Haitham M. Alzoubi, Sagheer Abbas, Munir Ahmad, Naeem Ali and Taher M. Ghazal. Their work appears in journals such as IEEE Access, Applied Sciences, Energies, Electronics and Journal of Intelligent & Fuzzy Systems.
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.