Medhat Moussa
Impact in
- Transportation top 5%
-
- Robot Manipulation and Learning
- Traffic control and management
Papers in
-
- Robot Manipulation and Learning 19
- Co-authors
- Matthew VeresShawki AreibiMohamed S. KamelHussein A. AbdullahMatthew ReynoldsMateo VargasMarta S. LopesIzzat Sidahmed Ali Tahir
- Journals
- Sensors (3 papers)Computers and Electronics in Agriculture (2 papers)IEEE Transactions on Robotics (2 papers)IEEE Robotics and Automation Letters (2 papers)Computers & Industrial Engineering (2 papers)
- Partner nations
- CanadaEgyptUnited States
In The Last Decade
Medhat Moussa
63 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Transportation 70
- Control and Systems Engineering 236
- Building and Construction 128
- Computer Vision and Pattern Recognition 172
- Plant Science 280
Countries citing papers authored by Medhat Moussa
This map shows the geographic impact of Medhat Moussa'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 Medhat Moussa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Medhat Moussa more than expected).
Fields of papers citing papers by Medhat Moussa
This network shows the impact of papers produced by Medhat Moussa. 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 Medhat Moussa. The network helps show where Medhat Moussa may publish in the future.
Co-authors
The 25 scholars most cited alongside Medhat Moussa, 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 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 6 | |
| 12 | Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends Hit paper breakdown → | 2019 | 259 |
| 13 | 2016 | 16 | |
| 14 | 2016 | 3 | |
| 15 | 2015 | 4 | |
| 16 | 2007 | 107 | |
| 17 | A Genetic Algorithm Hardware Accelerator for VLSI Circuit Partitioning. | 2005 | 5 |
| 18 | 2004 | 14 | |
| 19 | Feasibility of Floating-Point Arithmetic in FPGA based ANNs. | 2002 | 4 |
| 20 | Hardware Implementation of Genetic Algorithms for VLSI Design. | 2002 | 2 |
About Medhat Moussa
Medhat Moussa is a scholar working on Control and Systems Engineering, Hardware and Architecture, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (19 papers), Smart Agriculture and AI (9 papers), Image and Object Detection Techniques (6 papers), Industrial Vision Systems and Defect Detection (6 papers), Neural Networks and Applications (5 papers), Soft Robotics and Applications (5 papers), Optical measurement and interference techniques (5 papers) and Remote Sensing in Agriculture (4 papers). The work is most often cited by research in Transportation (70 citations), Control and Systems Engineering (236 citations), Building and Construction (128 citations), Computer Vision and Pattern Recognition (172 citations) and Plant Science (280 citations). Medhat Moussa has collaborated with scholars based in Canada, Egypt and United States. Frequent co-authors include Matthew Veres, Shawki Areibi, Mohamed S. Kamel, Hussein A. Abdullah, Matthew Reynolds, Mateo Vargas, Marta S. Lopes, Izzat Sidahmed Ali Tahir, NCD Barma and Michaël Baum. Their work appears in journals such as Sensors, Computers and Electronics in Agriculture, IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and Computers & Industrial Engineering.
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.