Mohammed Rabah

632 citations
19 papers · 441 · h-index 10

Impact in

Papers in

Mohammed Rabah

15 papers receiving 421 citations

Peers

Mohammed Rabah
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 209
  • Aerospace Engineering 198
  • Control and Systems Engineering 116
  • Automotive Engineering 32
  • Computer Networks and Communications 41
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Fengchi Sun China
Sedat Dogru Portugal
Mario Garzón Spain
Min‐Fan Ricky Lee Taiwan
Ángel Llamazares Spain
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Mahdi Abolfazli Esfahani Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Mohammed Rabah

Since Specialization
Citations

This map shows the geographic impact of Mohammed Rabah'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 Mohammed Rabah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Rabah more than expected).

Fields of papers citing papers by Mohammed Rabah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed Rabah. 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 Mohammed Rabah. The network helps show where Mohammed Rabah may publish in the future.

Co-authors

The 12 scholars most cited alongside Mohammed Rabah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammed Rabah Line = papers co-authored together Mohammed Rabah links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201989
2 201957
3 201844
4 201844
5 202041
6 201838
7 201834
8 201930
9 201819
10 202019
11 20187
12 20226
13 20186
14 20213
15 20212
16 20181
17 20181
18 20210
19 20240

About Mohammed Rabah

Mohammed Rabah is a scholar working on Aerospace Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 19 papers that have together received 441 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (5 papers), Adaptive Control of Nonlinear Systems (5 papers), Robotics and Sensor-Based Localization (5 papers), Fuzzy Logic and Control Systems (3 papers), Energy Harvesting in Wireless Networks (3 papers), Advanced Control Systems Design (2 papers), Wireless Power Transfer Systems (2 papers) and Advanced Antenna and Metasurface Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Aerospace Engineering (198 citations), Control and Systems Engineering (116 citations), Automotive Engineering (32 citations) and Computer Networks and Communications (41 citations). Mohammed Rabah has collaborated with scholars based in South Korea, Finland and Pakistan. Frequent co-authors include Ali Rohan, Sung-Ho Kim, Muhammad Talha, Sherif A. S. Mohamed, Furqan Asghar, Kanghyun Nam, Mohammad-Hashem Haghbayan, Juha Plosila, Eero Immonen and Sung Ho Kim. Their work appears in journals such as IEEE Access, Arabian Journal for Science and Engineering, International Journal of Fuzzy Logic and Intelligent Systems, International Journal of Control Automation and Systems and Journal of Electrical Engineering and 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.

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