Ayat Alrosan
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Waleed AlomoushAmmar AlmomaniBrij B. GuptaMohammed AlweshahMohammad AlauthmanMohammed AlswaittiSharif Naser MakhadmehKhalid Alissa
- Topics
- Metaheuristic Optimization Algorithms Research (7 papers)Advanced Multi-Objective Optimization Algorithms (2 papers)Brain Tumor Detection and Classification (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- JordanUnited Arab EmiratesSaudi Arabia
In The Last Decade
Ayat Alrosan
21 papers receiving 303 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 107
- Information Systems 73
- Computer Vision and Pattern Recognition 72
- Computer Networks and Communications 48
- Signal Processing 40
Countries citing papers authored by Ayat Alrosan
This map shows the geographic impact of Ayat Alrosan'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 Ayat Alrosan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayat Alrosan more than expected).
Fields of papers citing papers by Ayat Alrosan
This network shows the impact of papers produced by Ayat Alrosan. 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 Ayat Alrosan. The network helps show where Ayat Alrosan may publish in the future.
Co-authorship network of co-authors of Ayat Alrosan
This figure shows the co-authorship network connecting the top 25 collaborators of Ayat Alrosan. A scholar is included among the top collaborators of Ayat Alrosan 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 Ayat Alrosan. Ayat Alrosan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 22 | |
| 9 | 16 | |
| 10 | 0 | |
| 11 | 101 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 14 | |
| 15 | 14 | |
| 16 | 16 | |
| 17 | 9 | |
| 18 | 35 | |
| 19 | 26 | |
| 20 | 18 |
About Ayat Alrosan
Ayat Alrosan is a scholar working on Developmental Biology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 24 papers that have together received 318 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Developmental Biology (14 citations), Signal Processing (40 citations) and Computer Vision and Pattern Recognition (72 citations). Ayat Alrosan has collaborated with scholars based in Jordan, United Arab Emirates and Saudi Arabia. Frequent co-authors include Waleed Alomoush, Ammar Almomani, Brij B. Gupta, Mohammed Alweshah, Mohammad Alauthman, Mohammed Alswaitti, Sharif Naser Makhadmeh, Khalid Alissa, Hani Attar and Osama A. Khashan. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.