Fatma S. Alrayes
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Alia I. AbdelmotyAbdelwahed MotwakelSaud S. AlotaibiMohammed ZakariahKhalid AlissaOumaima SaidaniMesfer Al DuhayyimMashael Maashi
- Topics
- Network Security and Intrusion Detection (31 papers)Advanced Malware Detection Techniques (18 papers)Anomaly Detection Techniques and Applications (16 papers)
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- Saudi ArabiaEgyptUnited Kingdom
In The Last Decade
Fatma S. Alrayes
42 papers receiving 374 citations
Peers
Comparison fields: 5 of 77
- Computer Networks and Communications 187
- Artificial Intelligence 166
- Signal Processing 95
- Computer Vision and Pattern Recognition 65
- Information Systems 57
Countries citing papers authored by Fatma S. Alrayes
This map shows the geographic impact of Fatma S. Alrayes'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 Fatma S. Alrayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatma S. Alrayes more than expected).
Fields of papers citing papers by Fatma S. Alrayes
This network shows the impact of papers produced by Fatma S. Alrayes. 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 Fatma S. Alrayes. The network helps show where Fatma S. Alrayes may publish in the future.
Co-authorship network of co-authors of Fatma S. Alrayes
This figure shows the co-authorship network connecting the top 25 collaborators of Fatma S. Alrayes. A scholar is included among the top collaborators of Fatma S. Alrayes 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 Fatma S. Alrayes. Fatma S. Alrayes 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 19 | |
| 14 | 28 | |
| 15 | 9 | |
| 16 | 28 | |
| 17 | 38 | |
| 18 | 8 | |
| 19 | 12 | |
| 20 | 4 |
About Fatma S. Alrayes
Fatma S. Alrayes is a scholar working on Signal Processing, Computer Networks and Communications and Transportation, having authored 57 papers that have together received 399 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (31 papers), Advanced Malware Detection Techniques (18 papers) and Anomaly Detection Techniques and Applications (16 papers). The work is most often cited by research in Signal Processing (95 citations), Computer Networks and Communications (187 citations) and Artificial Intelligence (166 citations). Fatma S. Alrayes has collaborated with scholars based in Saudi Arabia, Egypt and United Kingdom. Frequent co-authors include Alia I. Abdelmoty, Abdelwahed Motwakel, Saud S. Alotaibi, Mohammed Zakariah, Khalid Alissa, Oumaima Saidani, Mesfer Al Duhayyim, Mashael Maashi, Mohammed Maray and Syed Umar Amin. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.