Reham Al-Dayil

603 total citations · 1 hit paper
6 papers, 411 citations indexed

About

Reham Al-Dayil is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Reham Al-Dayil has authored 6 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Signal Processing. Recurrent topics in Reham Al-Dayil's work include Remote-Sensing Image Classification (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Remote Sensing and Land Use (2 papers). Reham Al-Dayil is often cited by papers focused on Remote-Sensing Image Classification (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Remote Sensing and Land Use (2 papers). Reham Al-Dayil collaborates with scholars based in Saudi Arabia. Reham Al-Dayil's co-authors include Yakoub Bazi, Laila Bashmal, Mohamad Mahmoud Al Rahhal, Naif Alajlan, Nassim Ammour, Amani A. Alneil and Bayan Alabduallah and has published in prestigious journals such as Scientific Reports, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Reham Al-Dayil

6 papers receiving 400 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.

Vision Transformers for Remote Sensing Image Classification

2021 398 citations Yakoub Bazi, Laila Bashmal et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Reham Al-Dayil Saudi Arabia	4	205	179	97	81	69	6	411
Xuan Yang China	12	202 1.0×	264 1.5×	91 0.9×	92 1.1×	73 1.1×	59	568
Esam Othman Saudi Arabia	8	218 1.1×	170 0.9×	101 1.0×	144 1.8×	48 0.7×	15	469
Yuxuan Li China	5	198 1.0×	175 1.0×	85 0.9×	73 0.9×	33 0.5×	12	443
Robert DiBiano United States	9	155 0.8×	150 0.8×	58 0.6×	80 1.0×	77 1.1×	13	433
Xizhe Xue China	7	193 0.9×	169 0.9×	84 0.9×	88 1.1×	82 1.2×	13	461
Laila Bashmal Saudi Arabia	10	332 1.6×	345 1.9×	147 1.5×	181 2.2×	93 1.3×	17	701
Yinghui Xing China	12	266 1.3×	239 1.3×	68 0.7×	68 0.8×	42 0.6×	37	502
Nour Aburaed United Arab Emirates	9	183 0.9×	106 0.6×	66 0.7×	65 0.8×	37 0.5×	42	336
Ken Sakurada Japan	10	231 1.1×	242 1.4×	104 1.1×	77 1.0×	60 0.9×	25	467

Countries citing papers authored by Reham Al-Dayil

Since Specialization

Citations

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

Fields of papers citing papers by Reham Al-Dayil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reham Al-Dayil. 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 Reham Al-Dayil. The network helps show where Reham Al-Dayil may publish in the future.

Co-authorship network of co-authors of Reham Al-Dayil

This figure shows the co-authorship network connecting the top 25 collaborators of Reham Al-Dayil. A scholar is included among the top collaborators of Reham Al-Dayil 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 Reham Al-Dayil. Reham Al-Dayil 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:

6 of 6 papers shown

1.

Al-Dayil, Reham, et al.. (2025). Effective Data Augmentation Techniques for Arabic Speech Emotion Recognition Using Convolutional Neural Networks. Applied Sciences. 15(4). 2114–2114. 1 indexed citations

2.

Alabduallah, Bayan, et al.. (2025). Innovative hand pose based sign language recognition using hybrid metaheuristic optimization algorithms with deep learning model for hearing impaired persons. Scientific Reports. 15(1). 9320–9320. 1 indexed citations

3.

Al-Dayil, Reham, Yakoub Bazi, & Naif Alajlan. (2022). Open-Set Classification in Remote Sensing Imagery with Energy-Based Vision Transformer. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 2211–2214. 3 indexed citations

4.

Rahhal, Mohamad Mahmoud Al, et al.. (2022). Energy-based learning for open-set classification in remote sensing imagery. International Journal of Remote Sensing. 43(15-16). 6027–6037. 4 indexed citations

5.

Bazi, Yakoub, et al.. (2021). Vision Transformers for Remote Sensing Image Classification. Remote Sensing. 13(3). 516–516. 398 indexed citations breakdown →

6.

Al-Dayil, Reham, et al.. (2016). Detecting social media mobile botnets using user activity correlation and artificial immune system. 109–114. 4 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