Rawan AlSaad

1.3k total citations · 2 hit papers
30 papers, 664 citations indexed

About

Rawan AlSaad is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Rawan AlSaad has authored 30 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Experimental and Cognitive Psychology, 6 papers in Artificial Intelligence and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Rawan AlSaad's work include Machine Learning in Healthcare (4 papers), Topic Modeling (4 papers) and Digital Mental Health Interventions (4 papers). Rawan AlSaad is often cited by papers focused on Machine Learning in Healthcare (4 papers), Topic Modeling (4 papers) and Digital Mental Health Interventions (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, Dari Alhuwail, Syed Latifi, M Healy, Sabri Boughorbel and Qutaibah Malluhi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Medical Internet Research.

In The Last Decade

Rawan AlSaad

27 papers receiving 624 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions

2023 316 citations Alaa Abd‐Alrazaq, Rawan AlSaad et al. JMIR Medical Education profile →
Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook

2024 91 citations Rawan AlSaad, Alaa Abd‐Alrazaq et al. Journal of Medical Internet Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rawan AlSaad Qatar	11	277	173	137	80	78	30	664
Mahmood Alzubaidi Qatar	15	153 0.6×	153 0.9×	130 0.9×	80 1.0×	63 0.8×	49	696
Sarah Aziz Qatar	14	267 1.0×	170 1.0×	126 0.9×	183 2.3×	142 1.8×	31	781
Laura Vardoulakis United States	7	157 0.6×	211 1.2×	122 0.9×	38 0.5×	15 0.2×	10	515
Yan Fossat Canada	12	86 0.3×	170 1.0×	44 0.3×	128 1.6×	49 0.6×	28	603
Adam Palanica Canada	11	84 0.3×	148 0.9×	48 0.4×	126 1.6×	66 0.8×	21	596
Samantha Winter United States	8	109 0.4×	183 1.1×	38 0.3×	40 0.5×	29 0.4×	9	466
Ernest Lim United Kingdom	8	139 0.5×	129 0.7×	88 0.6×	103 1.3×	13 0.2×	20	489
Anirudh Thommandram Canada	8	72 0.3×	147 0.8×	39 0.3×	105 1.3×	24 0.3×	14	403
Nicole Martinez‐Martin United States	12	105 0.4×	60 0.3×	33 0.2×	174 2.2×	97 1.2×	23	630
Florence M. Aellen Switzerland	4	199 0.7×	108 0.6×	93 0.7×	16 0.2×	17 0.2×	9	442

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).

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.

Co-authorship network of co-authors of Rawan AlSaad

This figure shows the co-authorship network connecting the top 25 collaborators of Rawan AlSaad. A scholar is included among the top collaborators of Rawan AlSaad 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 Rawan AlSaad. Rawan AlSaad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

AlSaad, Rawan, Alaa Youssef, Majid Alabdulla, et al.. (2025). Multimodal large language models for women’s reproductive mental health. Archives of Women s Mental Health. 28(6). 1369–1384.

Ahmed, Arfan, Sarah Aziz, Alaa Abd‐Alrazaq, Rawan AlSaad, & Javaid I. Sheikh. (2025). Leveraging LLMs and wearables to provide personalized recommendations for enhancing student well-being and academic performance through a proof of concept. Scientific Reports. 15(1). 4591–4591. 3 indexed citations

Aziz, Sarah, Alaa Abd‐Alrazaq, Mohammed A. Alsahli, et al.. (2025). Wearable Artificial Intelligence for Epilepsy: Scoping Review. Journal of Medical Internet Research. 27. e73593–e73593. 1 indexed citations

Abd‐Alrazaq, Alaa, Dena Al‐Thani, Faisal Farooq, et al.. (2025). Hype vs Reality in the Integration of Artificial Intelligence in Clinical Workflows. JMIR Formative Research. 9. e70921–e70921.

Aziz, Sarah, Alaa Abd‐Alrazaq, Rawan AlSaad, et al.. (2025). Wearable Artificial Intelligence for Sleep Disorders: Scoping Review. Journal of Medical Internet Research. 27. e65272–e65272. 2 indexed citations

AlSaad, Rawan, et al.. (2025). Artificial intelligence models for predicting the mode of delivery in maternal care. Journal of Gynecology Obstetrics and Human Reproduction. 54(7). 102976–102976. 1 indexed citations

AlSaad, Rawan, et al.. (2025). From mother to infant: predicting infant temperament using maternal mental health measures and tabular machine learning models. Frontiers in Public Health. 13. 1659987–1659987. 1 indexed citations

AlSaad, Rawan, Qutaibah Malluhi, Alaa Abd‐Alrazaq, & Sabri Boughorbel. (2024). Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation. Artificial Intelligence in Medicine. 149. 102802–102802. 2 indexed citations

AlSaad, Rawan, Alaa Abd‐Alrazaq, Sabri Boughorbel, et al.. (2024). Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook. Journal of Medical Internet Research. 26. e59505–e59505. 91 indexed citations breakdown →

10.

AlSaad, Rawan, et al.. (2024). Harnessing Artificial Intelligence to Predict Ovarian Stimulation Outcomes in In Vitro Fertilization: Scoping Review. Journal of Medical Internet Research. 26. e53396–e53396. 9 indexed citations

11.

Abd‐Alrazaq, Alaa, Rawan AlSaad, Mohammed A. Alsahli, et al.. (2024). Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis. Journal of Medical Internet Research. 26. e58187–e58187. 20 indexed citations

12.

Almaqhawi, Abdullah, et al.. (2023). Knowledge and Attitudes Regarding Clinical Trial Participation: A Cross-Sectional Study in the Eastern Province, Saudi Arabia. Cureus. 15(10). e47823–e47823.

13.

Abd‐Alrazaq, Alaa, Israa Abuelezz, Kerstin Denecke, et al.. (2023). The performance of serious games for enhancing attention in cognitively impaired older adults. npj Digital Medicine. 6(1). 122–122. 3 indexed citations

14.

Abd‐Alrazaq, Alaa, Rawan AlSaad, Dari Alhuwail, et al.. (2023). Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions. JMIR Medical Education. 9. e48291–e48291. 316 indexed citations breakdown →

15.

Abd‐Alrazaq, Alaa, Rawan AlSaad, Manale Harfouche, et al.. (2023). Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis. Journal of Medical Internet Research. 25. e48754–e48754. 17 indexed citations

16.

Abd‐Alrazaq, Alaa, Israa Abuelezz, Rawan AlSaad, et al.. (2023). Serious Games for Learning Among Older Adults With Cognitive Impairment: Systematic Review and Meta-analysis. Journal of Medical Internet Research. 25. e43607–e43607. 13 indexed citations

17.

Aziz, Sarah, Rawan AlSaad, Alaa Abd‐Alrazaq, Arfan Ahmed, & Javaid I. Sheikh. (2023). Performance of Artificial Intelligence in Predicting Future Depression Levels. Studies in health technology and informatics. 305. 452–455. 4 indexed citations

18.

Abd‐Alrazaq, Alaa, Mohannad Alajlani, Rawan AlSaad, et al.. (2023). The Performance of Wearable AI in Detecting Stress Among Students: Systematic Review and Meta-Analysis. Journal of Medical Internet Research. 26. e52622–e52622. 12 indexed citations

19.

Abd‐Alrazaq, Alaa, Rawan AlSaad, Sarah Aziz, et al.. (2022). Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review. Journal of Medical Internet Research. 25. e42672–e42672. 50 indexed citations

20.

AlSaad, Rawan, et al.. (2019). Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma. BMC Medical Informatics and Decision Making. 19(1). 214–214. 18 indexed citations

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.

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