Khaled Alnowaiser
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Jeongmin ParkMohammed AlatiyyahShaker El–SappaghAhmad JalalEsraa HassanHanan AljuaidMuhammad UmerMohammad Shorfuzzaman
- Topics
- Video Surveillance and Tracking Methods (8 papers)COVID-19 diagnosis using AI (6 papers)Anomaly Detection Techniques and Applications (6 papers)
- Journals
- PLoS ONEIEEE AccessSensors
- Partner nations
- Saudi ArabiaPakistanSouth Korea
In The Last Decade
Khaled Alnowaiser
34 papers receiving 560 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 229
- Artificial Intelligence 191
- Health Information Management 83
- Biomedical Engineering 77
- Radiology, Nuclear Medicine and Imaging 63
Countries citing papers authored by Khaled Alnowaiser
This map shows the geographic impact of Khaled Alnowaiser'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 Khaled Alnowaiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khaled Alnowaiser more than expected).
Fields of papers citing papers by Khaled Alnowaiser
This network shows the impact of papers produced by Khaled Alnowaiser. 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 Khaled Alnowaiser. The network helps show where Khaled Alnowaiser may publish in the future.
Co-authorship network of co-authors of Khaled Alnowaiser
This figure shows the co-authorship network connecting the top 25 collaborators of Khaled Alnowaiser. A scholar is included among the top collaborators of Khaled Alnowaiser 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 Khaled Alnowaiser. Khaled Alnowaiser 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 | 0 | |
| 3 | 27 | |
| 4 | 4 | |
| 5 | 39 | |
| 6 | 0 | |
| 7 | 29 | |
| 8 | 37 | |
| 9 | 31 | |
| 10 | 72 | |
| 11 | 6 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 20 | |
| 15 | 5 | |
| 16 | 10 | |
| 17 | 19 | |
| 18 | 10 | |
| 19 | 4 | |
| 20 | 9 |
About Khaled Alnowaiser
Khaled Alnowaiser is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 38 papers that have together received 579 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), COVID-19 diagnosis using AI (6 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Health Information Management (83 citations), Computer Vision and Pattern Recognition (229 citations) and Health Informatics (9 citations). Khaled Alnowaiser has collaborated with scholars based in Saudi Arabia, Pakistan and South Korea. Frequent co-authors include Jeongmin Park, Mohammed Alatiyyah, Shaker El–Sappagh, Ahmad Jalal, Esraa Hassan, Hanan Aljuaid, Ahmad Jalal, Muhammad Umer, Mohammad Shorfuzzaman and Imran Ashraf. Their work appears in journals such as PLoS ONE, 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.