Sarah Aziz
- Health Informatics top 0.2%
- Applied Psychology top 5%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Arfan AhmedAlaa Abd‐AlrazaqJavaid I. SheikhRawan AlSaadRafat DamsehDari AlhuwailSyed LatifiM Healy
- Topics
- Digital Mental Health Interventions (12 papers)Mental Health Research Topics (7 papers)Mental Health via Writing (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJournal of Medical Internet Research
- Partner nations
- QatarUnited Arab EmiratesJordan
In The Last Decade
Sarah Aziz
29 papers receiving 742 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Health Informatics 267
- Applied Psychology 183
- Artificial Intelligence 170
- Experimental and Cognitive Psychology 142
- Radiology, Nuclear Medicine and Imaging 126
Countries citing papers authored by Sarah Aziz
This map shows the geographic impact of Sarah Aziz'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 Sarah Aziz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Aziz more than expected).
Fields of papers citing papers by Sarah Aziz
This network shows the impact of papers produced by Sarah Aziz. 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 Sarah Aziz. The network helps show where Sarah Aziz may publish in the future.
Co-authorship network of co-authors of Sarah Aziz
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Aziz. A scholar is included among the top collaborators of Sarah Aziz 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 Sarah Aziz. Sarah Aziz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 26 | |
| 6 | 3 | |
| 7 | Large Language Models in Medical Education: Opportunities, Challenges, and Future Directionsbreakdown → | 316 |
| 8 | 42 | |
| 9 | 23 | |
| 10 | 17 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 12 | |
| 16 | 9 | |
| 17 | 50 | |
| 18 | 44 | |
| 19 | 26 | |
| 20 | 14 |
About Sarah Aziz
Sarah Aziz is a scholar working on Applied Psychology, Health Informatics and Neuropsychology and Physiological Psychology, having authored 31 papers that have together received 781 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (12 papers), Mental Health Research Topics (7 papers) and Mental Health via Writing (6 papers). The work is most often cited by research in Health Informatics (267 citations), Applied Psychology (183 citations) and Family Practice (36 citations). Sarah Aziz has collaborated with scholars based in Qatar, United Arab Emirates and Jordan. Frequent co-authors include Arfan Ahmed, Alaa Abd‐Alrazaq, Javaid I. Sheikh, Rawan AlSaad, Rafat Damseh, Dari Alhuwail, Syed Latifi, M Healy, Mowafa Househ and Faisal Farooq. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Medical Internet Research.
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.