Hanan Aljuaid
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Muhammad AsifFakhri Alam KhanLucia CavallaroNazik AlturkiAntonio LiottaNajah AlsubaieMafawez AlharbiHaseeb Ahmad
- Topics
- Anomaly Detection Techniques and Applications (8 papers)Video Surveillance and Tracking Methods (7 papers)AI in cancer detection (7 papers)
- Journals
- PLoS ONEIEEE AccessSensors
- Partner nations
- Saudi ArabiaPakistanUnited Arab Emirates
In The Last Decade
Hanan Aljuaid
62 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 544
- Computer Vision and Pattern Recognition 317
- Radiology, Nuclear Medicine and Imaging 213
- Information Systems 192
- Computer Networks and Communications 101
Countries citing papers authored by Hanan Aljuaid
This map shows the geographic impact of Hanan Aljuaid'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 Hanan Aljuaid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanan Aljuaid more than expected).
Fields of papers citing papers by Hanan Aljuaid
This network shows the impact of papers produced by Hanan Aljuaid. 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 Hanan Aljuaid. The network helps show where Hanan Aljuaid may publish in the future.
Co-authorship network of co-authors of Hanan Aljuaid
This figure shows the co-authorship network connecting the top 25 collaborators of Hanan Aljuaid. A scholar is included among the top collaborators of Hanan Aljuaid 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 Hanan Aljuaid. Hanan Aljuaid 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 | 1 | |
| 3 | 0 | |
| 4 | 37 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 12 | |
| 8 | 72 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 30 | |
| 13 | 14 | |
| 14 | 18 | |
| 15 | 4 | |
| 16 | 18 | |
| 17 | 59 | |
| 18 | 32 | |
| 19 | 15 | |
| 20 | 5 |
About Hanan Aljuaid
Hanan Aljuaid is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (8 papers), Video Surveillance and Tracking Methods (7 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Health Informatics (37 citations), Artificial Intelligence (544 citations) and Computer Vision and Pattern Recognition (317 citations). Hanan Aljuaid has collaborated with scholars based in Saudi Arabia, Pakistan and United Arab Emirates. Frequent co-authors include Muhammad Asif, Fakhri Alam Khan, Lucia Cavallaro, Nazik Alturki, Antonio Liotta, Najah Alsubaie, Mafawez Alharbi, Haseeb Ahmad, Jeongmin Park and Yazeed Yasin Ghadi. 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.