Rafat Damseh

1.5k total citations · 2 hit papers
36 papers, 816 citations indexed

About

Rafat Damseh is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Rafat Damseh has authored 36 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Biomedical Engineering. Recurrent topics in Rafat Damseh's work include Photoacoustic and Ultrasonic Imaging (6 papers), Cell Image Analysis Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). Rafat Damseh is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (6 papers), Cell Image Analysis Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). Rafat Damseh collaborates with scholars based in United Arab Emirates, Canada and Qatar. Rafat Damseh's co-authors include Alaa Abd‐Alrazaq, Arfan Ahmed, Javaid I. Sheikh, Rawan AlSaad, Sarah Aziz, Frédéric Lesage, Dari Alhuwail, Syed Latifi, M Healy and Nazar Zaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Rafat Damseh

31 papers receiving 778 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

Rafat Damseh

RNMI

CVPR

Abhimanyu S. Ahuja United States

Comeron W. Ghobadi United States

Jiewei Jiang China

Giovanni Briganti Belgium

Michael Tran Duong United States

Emily B. Ambinder United States

María de la Iglesia-Vayá Spain

Mikhail Milchenko United States

Shih-Ying Huang United States

Victor Koh Singapore

Abhimanyu S. Ahuja United States

Rafat Damseh

212 ×0.7

RNMI

254 ×0.9

121 ×0.7

73 ×0.5

29 ×0.6

CVPR

Citations per year, relative to Rafat Damseh Rafat Damseh (= 1×) peers Abhimanyu S. Ahuja

Countries citing papers authored by Rafat Damseh

Since Specialization

Citations

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

Fields of papers citing papers by Rafat Damseh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafat Damseh

This figure shows the co-authorship network connecting the top 25 collaborators of Rafat Damseh. A scholar is included among the top collaborators of Rafat Damseh 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 Rafat Damseh. Rafat Damseh 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

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

Elharrouss, Omar, Rafat Damseh, Abdelkader Nasreddine Belkacem, Elarbi Badidi, & Abderrahmane Lakas. (2025). Transformer-based image and video inpainting: current challenges and future directions. Artificial Intelligence Review. 58(4). 4 indexed citations

Abd‐Alrazaq, Alaa, Rawan AlSaad, Sarah Aziz, et al.. (2025). Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review. Artificial Intelligence in Medicine. 169. 103237–103237. 1 indexed citations

Elharrouss, Omar, et al.. (2025). Transformers for Neuroimage Segmentation: Scoping Review. Journal of Medical Internet Research. 27. e57723–e57723. 3 indexed citations

Hasikin‬, Khairunnisa, et al.. (2025). State-of-the-art artificial intelligence approaches for anomaly detection and remaining useful life prediction: a review. PeerJ Computer Science. 11. e3056–e3056.

Zaki, Nazar, et al.. (2024). Revolutionizing personalized medicine with generative AI: a systematic review. Artificial Intelligence Review. 57(5). 51 indexed citations

Ali, Luqman, et al.. (2024). Evaluating segment anything model (SAM) on MRI scans of brain tumors. Scientific Reports. 14(1). 21659–21659. 9 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 →

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

10.

Damseh, Rafat, et al.. (2024). Multimodal EEG-fNIRS Seizure Pattern Decoding Using Vision Transformer. SHILAP Revista de lepidopterología. 5. 724–735. 2 indexed citations

11.

Zaki, Nazar, et al.. (2024). Graph reduction techniques for instance selection: comparative and empirical study. Artificial Intelligence Review. 58(2).

12.

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 →

13.

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

14.

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

15.

Porée, Jonathan, et al.. (2021). A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy. IEEE Transactions on Medical Imaging. 40(5). 1428–1437. 67 indexed citations

16.

Damseh, Rafat, et al.. (2021). Multimodal Autoencoder Predicts fNIRS Resting State From EEG Signals. Neuroinformatics. 20(3). 537–558. 22 indexed citations

17.

Kura, Sreekanth, Xiaojun Cheng, Rafat Damseh, et al.. (2021). Anatomical Modeling of Brain Vasculature in Two-Photon Microscopy by Generalizable Deep Learning. SHILAP Revista de lepidopterología. 2021. 1–12. 16 indexed citations

18.

Damseh, Rafat, et al.. (2021). A simulation study investigating potential diffusion-based MRI signatures of microstrokes. Scientific Reports. 11(1). 14229–14229. 5 indexed citations

19.

Moeini, Mohammad, Baoqiang Li, Rafat Damseh, et al.. (2019). A Pilot Study Investigating Changes in Capillary Hemodynamics and Its Modulation by Exercise in the APP-PS1 Alzheimer Mouse Model. Frontiers in Neuroscience. 13. 1261–1261. 14 indexed citations

20.

Moeini, Mohammad, Pramod Avti, Rafat Damseh, et al.. (2018). Compromised microvascular oxygen delivery increases brain tissue vulnerability with age. Scientific Reports. 8(1). 8219–8219. 73 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.

Explore authors with similar magnitude of impact