Somaya Al-Máadeed

11.8k total citations · 2 hit papers
292 papers, 7.0k citations indexed

About

Somaya Al-Máadeed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Somaya Al-Máadeed has authored 292 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Computer Vision and Pattern Recognition, 67 papers in Artificial Intelligence and 39 papers in Signal Processing. Recurrent topics in Somaya Al-Máadeed's work include Handwritten Text Recognition Techniques (49 papers), Video Surveillance and Tracking Methods (33 papers) and Image Processing and 3D Reconstruction (20 papers). Somaya Al-Máadeed is often cited by papers focused on Handwritten Text Recognition Techniques (49 papers), Video Surveillance and Tracking Methods (33 papers) and Image Processing and 3D Reconstruction (20 papers). Somaya Al-Máadeed collaborates with scholars based in Qatar, United Kingdom and United Arab Emirates. Somaya Al-Máadeed's co-authors include Omar Elharrouss, Ahmed Bouridane, Noor Almaadeed, Deepalekshmi Ponnamma, Hemalatha Parangusan, Nandhini Subramanian, Muhammad E. H. Chowdhury, Abdelǎali Hassaïne, Amith Khandakar and Tawsifur Rahman and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Somaya Al-Máadeed

276 papers receiving 6.7k citations

Hit Papers

Exploring the effect of i... 2021 2026 2022 2024 2021 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Somaya Al-Máadeed Qatar 46 2.7k 1.7k 1.3k 1.2k 804 292 7.0k
Xiaoqin Zhang China 48 2.8k 1.1× 2.3k 1.4× 920 0.7× 346 0.3× 330 0.4× 339 8.2k
Feng Zhao China 42 1.5k 0.5× 760 0.5× 1.1k 0.8× 379 0.3× 618 0.8× 413 7.4k
Jian Cheng China 37 5.6k 2.1× 2.7k 1.6× 1.8k 1.4× 153 0.1× 319 0.4× 294 8.2k
Yun Liang China 42 1.5k 0.6× 989 0.6× 1.1k 0.9× 377 0.3× 292 0.4× 337 7.1k
Abbas Z. Kouzani Australia 51 789 0.3× 707 0.4× 3.4k 2.7× 382 0.3× 613 0.8× 496 10.1k
Ying Sun China 37 1.3k 0.5× 693 0.4× 504 0.4× 545 0.5× 384 0.5× 180 4.0k
Mingxia Liu China 48 1.1k 0.4× 1.6k 1.0× 617 0.5× 1.3k 1.1× 164 0.2× 246 6.8k
Zilei Wang China 31 1.8k 0.7× 1.3k 0.8× 412 0.3× 293 0.3× 269 0.3× 152 4.2k
Xinchao Wang China 41 3.6k 1.4× 1.7k 1.0× 652 0.5× 254 0.2× 81 0.1× 200 5.8k
Xiaowei Hu China 34 3.2k 1.2× 1.1k 0.7× 410 0.3× 549 0.5× 162 0.2× 122 5.3k

Countries citing papers authored by Somaya Al-Máadeed

Since Specialization
Citations

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

Fields of papers citing papers by Somaya Al-Máadeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Somaya Al-Máadeed

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

All Works

20 of 20 papers shown
1.
Al-Máadeed, Somaya, et al.. (2024). Pose Estimation of Physiotherapy Exercises using ML Techniques. Qatar University QSpace (Qatar University). 655–661.
2.
Akbari, Younes, et al.. (2024). Towards improved breast cancer detection via multi-modal fusion and dimensionality adjustment. 1. 100019–100019. 4 indexed citations
3.
Kheddar, Hamza, Yassine Himeur, Somaya Al-Máadeed, Abbes Amira, & Fayçal Bensaali. (2023). Deep transfer learning for automatic speech recognition: Towards better generalization. Knowledge-Based Systems. 277. 110851–110851. 76 indexed citations
4.
Saleh, Moutaz, et al.. (2023). A Pipeline for Story Visualization from Natural Language. Applied Sciences. 13(8). 5107–5107. 2 indexed citations
5.
Al-Máadeed, Somaya, et al.. (2023). The Sustainable University of the Future. The International Islamic University Malaysia Repository (The International Islamic University Malaysia). 3 indexed citations
6.
Chowdhury, Muhammad E. H., et al.. (2023). A Deep Learning Framework for the Detection of Abnormality in Cerebral Blood Flow Velocity Using Transcranial Doppler Ultrasound. Diagnostics. 13(12). 2000–2000. 11 indexed citations
8.
Elharrouss, Omar, et al.. (2023). GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation. Bioengineering. 11(1). 4–4. 6 indexed citations
9.
Alja’am, Jihad Mohamad, Ramzi A. Jaber, & Somaya Al-Máadeed. (2021). Novel Ternary Adder and Multiplier Designs Without Using Decoders or Encoders. IEEE Access. 9. 56726–56735. 29 indexed citations
10.
Jaber, Ramzi A., et al.. (2021). Ultra-Low Energy CNFET-Based Ternary Combinational Circuits Designs. IEEE Access. 9. 115951–115961. 29 indexed citations
11.
Djeddi, Chawki, et al.. (2021). Influence of codebook patterns on writer recognition: An experimental study. Expert Systems. 38(3). 2 indexed citations
12.
Qiblawey, Yazan, Anas Tahir, Muhammad E. H. Chowdhury, et al.. (2021). Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning. MDPI (MDPI AG). 88 indexed citations
13.
Almaadeed, Noor, et al.. (2020). Designing a Mobile Serious Game for Raising Awareness of Diabetic Children. IEEE Access. 8. 222876–222889. 18 indexed citations
14.
Awan, Ruqayya, et al.. (2019). Glandular structure-guided classification of microscopic colorectal images using deep learning. Computers & Electrical Engineering. 85. 106450–106450. 7 indexed citations
15.
Jiang, Richard, et al.. (2016). Biometric Security and Privacy: Opportunities & Challenges in The Big Data Era. Springer eBooks. 6 indexed citations
16.
Djeddi, Chawki, Somaya Al-Máadeed, Abdeljalil Gattal, et al.. (2015). ICDAR2015 competition on Multi-script Writer Identification and Gender Classification using ‘QUWI’ Database. Qatar University QSpace (Qatar University). 1191–1195. 21 indexed citations
17.
Rajendran, Saravanan, A. Hodzic, S.A. Hayes, et al.. (2013). Plastics recycling: insights into life cycle impact assessment methods. Plastics Rubber and Composites Macromolecular Engineering. 42(1). 1–10. 39 indexed citations
18.
Hassaïne, Abdelǎali, Somaya Al-Máadeed, Jihad Mohamad Alja’am, & Ali Jaoua. (2013). ICDAR 2013 Competition on Gender Prediction from Handwriting. Qatar University QSpace (Qatar University). 1417–1421. 29 indexed citations
19.
Al-Máadeed, Somaya, et al.. (2012). QUWI: An Arabic and English Handwriting Dataset for Offline Writer Identification. Qatar University QSpace (Qatar University). 746–751. 90 indexed citations
20.
Al-Máadeed, Somaya, Dave Elliman, & Colin Higgins. (2004). A Data Base for Arabic Handwritten Text Recognition Research.. The International Arab Journal of Information Technology. 1. 13 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

Rankless by CCL
2026