Fadwa Alrowais
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Co-authors
- Shabana UroojRadwa MarzoukShabana MehfuzFahd N. Al‐WesabiAnwer Mustafa HilalSaud S. AlotaibiMesfer Al DuhayyimHanen Karamti
- Topics
- Network Security and Intrusion Detection (10 papers)Anomaly Detection Techniques and Applications (9 papers)Brain Tumor Detection and Classification (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- Saudi ArabiaEgyptIndia
In The Last Decade
Fadwa Alrowais
63 papers receiving 670 citations
Peers
Comparison fields: 5 of 95
- Computer Networks and Communications 206
- Electrical and Electronic Engineering 198
- Artificial Intelligence 175
- Computer Vision and Pattern Recognition 91
- Aerospace Engineering 78
Countries citing papers authored by Fadwa Alrowais
This map shows the geographic impact of Fadwa Alrowais'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 Fadwa Alrowais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fadwa Alrowais more than expected).
Fields of papers citing papers by Fadwa Alrowais
This network shows the impact of papers produced by Fadwa Alrowais. 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 Fadwa Alrowais. The network helps show where Fadwa Alrowais may publish in the future.
Co-authorship network of co-authors of Fadwa Alrowais
This figure shows the co-authorship network connecting the top 25 collaborators of Fadwa Alrowais. A scholar is included among the top collaborators of Fadwa Alrowais 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 Fadwa Alrowais. Fadwa Alrowais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | 21 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 26 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 36 | |
| 17 | 33 | |
| 18 | 102 | |
| 19 | 12 | |
| 20 | 17 |
About Fadwa Alrowais
Fadwa Alrowais is a scholar working on Computer Vision and Pattern Recognition, Neurology and Computer Networks and Communications, having authored 67 papers that have together received 706 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Anomaly Detection Techniques and Applications (9 papers) and Brain Tumor Detection and Classification (8 papers). The work is most often cited by research in Computer Networks and Communications (206 citations), Signal Processing (66 citations) and Artificial Intelligence (175 citations). Fadwa Alrowais has collaborated with scholars based in Saudi Arabia, Egypt and India. Frequent co-authors include Shabana Urooj, Radwa Marzouk, Shabana Mehfuz, Fahd N. Al‐Wesabi, Anwer Mustafa Hilal, Saud S. Alotaibi, Mesfer Al Duhayyim, Hanen Karamti, Hariprasath Manoharan and Manar Ahmed Hamza. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.