M. Farooq
Impact in
- Global and Planetary Change top 10%
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 39
- Neural Networks and Applications 8
-
- Infrared Target Detection Methodologies 7
- Guidance and Control Systems 6
- Co-authors
- Muhammad Shahzad Khattak (3 shared papers)Muhammad Shafique (4 shared papers)T. Kirubarajan (9 shared papers)É. Lallier (1 shared paper)Abhijit Sinha (7 shared papers)Zhen Ding (5 shared papers)Α.Κ. Mahalanabis (2 shared papers)Huimin Chen (1 shared paper)
In The Last Decade
M. Farooq
80 papers receiving 789 citations
Peers
Comparison fields: 5 of 98
- Global and Planetary Change 232
- Water Science and Technology 145
- Artificial Intelligence 279
- Media Technology 64
- Aerospace Engineering 168
Countries citing papers authored by M. Farooq
This map shows the geographic impact of M. 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 M. Farooq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Farooq more than expected).
Fields of papers citing papers by M. Farooq
This network shows the impact of papers produced by M. 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 M. Farooq. The network helps show where M. Farooq may publish in the future.
Co-authors
The 25 scholars most cited alongside M. 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 116 | |
| 2 | 2018 | 65 | |
| 3 | 2008 | 56 | |
| 4 | 2012 | 53 | |
| 5 | 2000 | 47 | |
| 6 | 2002 | 37 | |
| 7 | 2016 | 35 | |
| 8 | 2016 | 33 | |
| 9 | 2003 | 32 | |
| 10 | 1990 | 28 | |
| 11 | 2002 | 22 | |
| 12 | 1971 | 21 | |
| 13 | 2017 | 19 | |
| 14 | 2003 | 19 | |
| 15 | 1971 | 19 | |
| 16 | Musharakah Financing: Experience of Pakistani Banks | 2013 | 19 |
| 17 | 2006 | 19 | |
| 18 | 2021 | 14 | |
| 19 | 1989 | 14 | |
| 20 | 2005 | 10 |
About M. Farooq
M. Farooq is a scholar working on Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering, Computer Networks and Communications and Accounting, having authored 90 papers that have together received 846 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (39 papers), Distributed Sensor Networks and Detection Algorithms (10 papers), Islamic Finance and Banking Studies (9 papers), Neural Networks and Applications (8 papers), Infrared Target Detection Methodologies (7 papers), Fault Detection and Control Systems (7 papers), Guidance and Control Systems (6 papers) and Microfinance and Financial Inclusion (5 papers). The work is most often cited by research in Global and Planetary Change (232 citations), Water Science and Technology (145 citations), Artificial Intelligence (279 citations), Media Technology (64 citations) and Aerospace Engineering (168 citations). M. Farooq has collaborated with scholars based in Canada, Pakistan and Malaysia. Frequent co-authors include Muhammad Shahzad Khattak, Muhammad Shafique, T. Kirubarajan, É. Lallier, Abhijit Sinha, Zhen Ding, Α.Κ. Mahalanabis, Huimin Chen, Matthias Dees and Sami Ullah. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Automatic Control, Natural Hazards, Signal Processing and International Journal of Control.
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.