Yousef Alhwaiti
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Muhammad Hameed SiddiqiMadallah AlruwailiSaad AlanaziM. M. KamruzzamanNasser AlshammariMunir AhmadSagheer AbbasNouh Sabri Elmitwally
- Topics
- Brain Tumor Detection and Classification (3 papers)Context-Aware Activity Recognition Systems (3 papers)COVID-19 diagnosis using AI (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceHealth Information Management
- Partner nations
- Saudi ArabiaPakistanSouth Korea
In The Last Decade
Yousef Alhwaiti
20 papers receiving 361 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 141
- Computer Vision and Pattern Recognition 100
- Radiology, Nuclear Medicine and Imaging 87
- Computer Networks and Communications 68
- Electrical and Electronic Engineering 38
Countries citing papers authored by Yousef Alhwaiti
This map shows the geographic impact of Yousef Alhwaiti'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 Yousef Alhwaiti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yousef Alhwaiti more than expected).
Fields of papers citing papers by Yousef Alhwaiti
This network shows the impact of papers produced by Yousef Alhwaiti. 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 Yousef Alhwaiti. The network helps show where Yousef Alhwaiti may publish in the future.
Co-authorship network of co-authors of Yousef Alhwaiti
This figure shows the co-authorship network connecting the top 25 collaborators of Yousef Alhwaiti. A scholar is included among the top collaborators of Yousef Alhwaiti 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 Yousef Alhwaiti. Yousef Alhwaiti 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 | 12 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | 3 | |
| 12 | 108 | |
| 13 | 59 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 16 | |
| 17 | 21 | |
| 18 | 2 | |
| 19 | 60 | |
| 20 | 21 |
About Yousef Alhwaiti
Yousef Alhwaiti is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Neurology, having authored 22 papers that have together received 385 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (3 papers), Context-Aware Activity Recognition Systems (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (100 citations), Artificial Intelligence (141 citations) and Health Information Management (19 citations). Yousef Alhwaiti has collaborated with scholars based in Saudi Arabia, Pakistan and South Korea. Frequent co-authors include Muhammad Hameed Siddiqi, Madallah Alruwaili, Saad Alanazi, M. M. Kamruzzaman, Nasser Alshammari, Munir Ahmad, Sagheer Abbas, Nouh Sabri Elmitwally, Md Nazirul Islam Sarker and Muhammad Saleem. Their work appears in journals such as Scientific Reports, Computers in Human Behavior 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.