Khalid Al-Mutib
Impact in
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- Robotic Path Planning Algorithms
- Control and Systems Engineering top 10%
- Control and Dynamics of Mobile Robots
- Robotics and Automated Systems
Papers in
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- Robotic Path Planning Algorithms 10
- Advanced Vision and Imaging 2
-
- Robotics and Sensor-Based Localization 8
- Co-authors
- Ramdane Hedjar (7 shared papers)Mohammed Faisal (3 shared papers)Mansour Alsulaiman (8 shared papers)M. Shamim Hossain (3 shared papers)Ahmed Ghoneim (2 shared papers)Fatma M. Talaat (1 shared paper)Esraa Hassan (1 shared paper)Samir Elmougy (1 shared paper)
- Journals
- IEEE Access (2 papers)Sensors (1 paper)International Journal of Advanced Robotic Systems (2 papers)Expert Systems (1 paper)International Journal of Computer Applications in Technology (1 paper)
- Partner nations
- Saudi ArabiaBahrainAlgeria
In The Last Decade
Khalid Al-Mutib
18 papers receiving 314 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 223
- Control and Systems Engineering 119
- Aerospace Engineering 99
- Artificial Intelligence 61
- Computer Networks and Communications 43
Countries citing papers authored by Khalid Al-Mutib
This map shows the geographic impact of Khalid Al-Mutib'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 Khalid Al-Mutib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Al-Mutib more than expected).
Fields of papers citing papers by Khalid Al-Mutib
This network shows the impact of papers produced by Khalid Al-Mutib. 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 Khalid Al-Mutib. The network helps show where Khalid Al-Mutib may publish in the future.
Co-authors
The 21 scholars most cited alongside Khalid Al-Mutib, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 123 | |
| 2 | 2023 | 42 | |
| 3 | 2011 | 41 | |
| 4 | 2014 | 24 | |
| 5 | 2023 | 22 | |
| 6 | 2014 | 15 | |
| 7 | 2015 | 11 | |
| 8 | 2017 | 9 | |
| 9 | 2016 | 8 | |
| 10 | 2014 | 7 | |
| 11 | 2020 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2014 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2014 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2020 | 1 | |
| 19 | 2011 | 0 | |
| 20 | 2017 | 0 |
About Khalid Al-Mutib
Khalid Al-Mutib is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 20 papers that have together received 327 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (10 papers), Robotics and Sensor-Based Localization (8 papers), Robotics and Automated Systems (3 papers), Fuzzy Logic and Control Systems (2 papers), Blockchain Technology Applications and Security (2 papers), Control and Dynamics of Mobile Robots (2 papers), Advanced Vision and Imaging (2 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (223 citations), Control and Systems Engineering (119 citations), Aerospace Engineering (99 citations), Artificial Intelligence (61 citations) and Computer Networks and Communications (43 citations). Khalid Al-Mutib has collaborated with scholars based in Saudi Arabia, Bahrain and Algeria. Frequent co-authors include Ramdane Hedjar, Mohammed Faisal, Mansour Alsulaiman, M. Shamim Hossain, Ahmed Ghoneim, Fatma M. Talaat, Esraa Hassan, Samir Elmougy, Salman A. AlQahtani and Hassan Mathkour. Their work appears in journals such as IEEE Access, Sensors, International Journal of Advanced Robotic Systems, Expert Systems and International Journal of Computer Applications in Technology.
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.