Mohammed Gamal Ragab
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Environmental Engineering
- Control and Systems Engineering
- Co-authors
- Said Jadid AbdulkadirAlawi AlqushaibiHitham AlhussianSafwan Mahmood Al-SelwiEbrahim Hamid SumieaAmgad MuneerQasem Al-TashiNorshakirah Aziz
- Topics
- Hate Speech and Cyberbullying Detection (3 papers)Reinforcement Learning in Robotics (3 papers)Stock Market Forecasting Methods (2 papers)
- Partner nations
- MalaysiaSaudi ArabiaUnited States
In The Last Decade
Mohammed Gamal Ragab
18 papers receiving 606 citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 208
- Computer Vision and Pattern Recognition 113
- Electrical and Electronic Engineering 92
- Environmental Engineering 56
- Control and Systems Engineering 55
Countries citing papers authored by Mohammed Gamal Ragab
This map shows the geographic impact of Mohammed Gamal Ragab'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 Gamal Ragab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Gamal Ragab more than expected).
Fields of papers citing papers by Mohammed Gamal Ragab
This network shows the impact of papers produced by Mohammed Gamal Ragab. 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 Gamal Ragab. The network helps show where Mohammed Gamal Ragab may publish in the future.
Co-authorship network of co-authors of Mohammed Gamal Ragab
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Gamal Ragab. A scholar is included among the top collaborators of Mohammed Gamal Ragab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammed Gamal Ragab. Mohammed Gamal Ragab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 17 | |
| 5 | 8 | |
| 6 | A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)breakdown → | 95 |
| 7 | 10 | |
| 8 | RNN-LSTM: From applications to modeling techniques and beyond—Systematic reviewbreakdown → | 144 |
| 9 | 1 | |
| 10 | Deep deterministic policy gradient algorithm: A systematic reviewbreakdown → | 66 |
| 11 | 11 | |
| 12 | 24 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 22 | |
| 16 | 25 | |
| 17 | 8 | |
| 18 | 108 | |
| 19 | 69 | |
| 20 | 23 |
About Mohammed Gamal Ragab
Mohammed Gamal Ragab is a scholar working on General Dentistry, Artificial Intelligence and Signal Processing, having authored 22 papers that have together received 644 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (3 papers), Reinforcement Learning in Robotics (3 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Artificial Intelligence (208 citations), Computer Vision and Pattern Recognition (113 citations) and Signal Processing (45 citations). Mohammed Gamal Ragab has collaborated with scholars based in Malaysia, Saudi Arabia and United States. Frequent co-authors include Said Jadid Abdulkadir, Alawi Alqushaibi, Hitham Alhussian, Safwan Mahmood Al-Selwi, Ebrahim Hamid Sumiea, Amgad Muneer, Qasem Al-Tashi, Norshakirah Aziz, Mohd Fadzil Hassan and Helmi Md Rais. Their work appears in journals such as Construction and Building Materials, IEEE Access and Sustainability.
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.