Moussa Reda Mansour
- Artificial Intelligence top 1%
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Budhaditya SahaVuong LeSvetha VenkateshDong GongLingqiao LiuAnton van den HengelRomero MoraisTruyen Tran
- Topics
- Optimal Power Flow Distribution (12 papers)Power System Optimization and Stability (12 papers)Power System Reliability and Maintenance (8 papers)
- Cited by
- Artificial IntelligenceComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Power SystemsControl Engineering PracticeIEEE Transactions on Power Apparatus and Systems
- Partner nations
- BrazilAustraliaUnited States
In The Last Decade
Moussa Reda Mansour
18 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 1.1k
- Computer Networks and Communications 599
- Computer Vision and Pattern Recognition 447
- Biomedical Engineering 240
- Control and Systems Engineering 153
Countries citing papers authored by Moussa Reda Mansour
This map shows the geographic impact of Moussa Reda Mansour'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 Moussa Reda Mansour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moussa Reda Mansour more than expected).
Fields of papers citing papers by Moussa Reda Mansour
This network shows the impact of papers produced by Moussa Reda Mansour. 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 Moussa Reda Mansour. The network helps show where Moussa Reda Mansour may publish in the future.
Co-authorship network of co-authors of Moussa Reda Mansour
This figure shows the co-authorship network connecting the top 25 collaborators of Moussa Reda Mansour. A scholar is included among the top collaborators of Moussa Reda Mansour 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 Moussa Reda Mansour. Moussa Reda Mansour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 210 | |
| 2 | 20 | |
| 3 | Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detectionbreakdown → | 1024 |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 25 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | 16 | |
| 18 | 15 | |
| 19 | 7 |
About Moussa Reda Mansour
Moussa Reda Mansour is a scholar working on Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (12 papers), Power System Optimization and Stability (12 papers) and Power System Reliability and Maintenance (8 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Networks and Communications (599 citations) and Computer Vision and Pattern Recognition (447 citations). Moussa Reda Mansour has collaborated with scholars based in Brazil, Australia and United States. Frequent co-authors include Budhaditya Saha, Vuong Le, Svetha Venkatesh, Dong Gong, Lingqiao Liu, Anton van den Hengel, Romero Morais, Truyen Tran, Rodrigo A. Ramos and Luís Alberto. Their work appears in journals such as IEEE Transactions on Power Systems, Control Engineering Practice and IEEE Transactions on Power Apparatus and Systems.
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.