Rawan AlSaad

23 papers and 352 indexed citations i.

About

Rawan AlSaad is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Rawan AlSaad has authored 23 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Experimental and Cognitive Psychology, 5 papers in Artificial Intelligence and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Rawan AlSaad’s work include Topic Modeling (4 papers), Digital Mental Health Interventions (4 papers) and Machine Learning in Healthcare (4 papers). Rawan AlSaad is often cited by papers focused on Topic Modeling (4 papers), Digital Mental Health Interventions (4 papers) and Machine Learning in Healthcare (4 papers). Rawan AlSaad collaborates with scholars based in Qatar, United Arab Emirates and Saudi Arabia. Rawan AlSaad's co-authors include Alaa Abd‐Alrazaq, Arfan Ahmed, Javaid I. Sheikh, Sarah Aziz, Rafat Damseh, Syed Latifi, Dari Alhuwail, M Healy, Sabri Boughorbel and Qutaibah Malluhi and has published in prestigious journals such as Scientific Reports, Journal of Medical Internet Research and Artificial Intelligence in Medicine.

In The Last Decade

Co-authorship network of co-authors of Rawan AlSaad i

Fields of papers citing papers by Rawan AlSaad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rawan AlSaad. 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 Rawan AlSaad. The network helps show where Rawan AlSaad may publish in the future.

Countries citing papers authored by Rawan AlSaad

Since Specialization
Citations

This map shows the geographic impact of Rawan AlSaad'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 Rawan AlSaad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rawan AlSaad more than expected).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025