Haya Alaskar
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Abir HussainDhiya Al‐JumeilyThavavel VaiyapuriPanos LiatsisWasiq KhanAhmed A. Abd El‐LatifBassem Abd-El-AttyAbdullah M. Iliyasu
- Topics
- Anomaly Detection Techniques and Applications (6 papers)AI in cancer detection (3 papers)Deception detection and forensic psychology (3 papers)
- Journals
- IEEE AccessSensorsRemote Sensing
- Partner nations
- Saudi ArabiaUnited KingdomUnited Arab Emirates
In The Last Decade
Haya Alaskar
33 papers receiving 642 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 192
- Computer Vision and Pattern Recognition 109
- Computer Networks and Communications 108
- Biomedical Engineering 93
- Radiology, Nuclear Medicine and Imaging 85
Countries citing papers authored by Haya Alaskar
This map shows the geographic impact of Haya Alaskar'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 Haya Alaskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haya Alaskar more than expected).
Fields of papers citing papers by Haya Alaskar
This network shows the impact of papers produced by Haya Alaskar. 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 Haya Alaskar. The network helps show where Haya Alaskar may publish in the future.
Co-authorship network of co-authors of Haya Alaskar
This figure shows the co-authorship network connecting the top 25 collaborators of Haya Alaskar. A scholar is included among the top collaborators of Haya Alaskar 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 Haya Alaskar. Haya Alaskar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 24 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 51 | |
| 9 | 22 | |
| 10 | 11 | |
| 11 | 27 | |
| 12 | 64 | |
| 13 | 11 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 0 | |
| 17 | 11 | |
| 18 | 18 | |
| 19 | 29 | |
| 20 | 27 |
About Haya Alaskar
Haya Alaskar is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 676 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), AI in cancer detection (3 papers) and Deception detection and forensic psychology (3 papers). The work is most often cited by research in Gastroenterology (75 citations), Signal Processing (69 citations) and Artificial Intelligence (192 citations). Haya Alaskar has collaborated with scholars based in Saudi Arabia, United Kingdom and United Arab Emirates. Frequent co-authors include Abir Hussain, Dhiya Al‐Jumeily, Thavavel Vaiyapuri, Panos Liatsis, Abir Hussain, Wasiq Khan, Ahmed A. Abd El‐Latif, Bassem Abd-El-Atty, Abdullah M. Iliyasu and Adel Binbusayyis. Their work appears in journals such as IEEE Access, Sensors and Remote Sensing.
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.