Hamzah Luqman

950 total citations
42 papers, 553 citations indexed

About

Hamzah Luqman is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Hamzah Luqman has authored 42 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 19 papers in Human-Computer Interaction and 12 papers in Artificial Intelligence. Recurrent topics in Hamzah Luqman's work include Hand Gesture Recognition Systems (19 papers), Hearing Impairment and Communication (12 papers) and Gait Recognition and Analysis (8 papers). Hamzah Luqman is often cited by papers focused on Hand Gesture Recognition Systems (19 papers), Hearing Impairment and Communication (12 papers) and Gait Recognition and Analysis (8 papers). Hamzah Luqman collaborates with scholars based in Saudi Arabia, France and Australia. Hamzah Luqman's co-authors include Sabri A. Mahmoud, El-Sayed M. El-Alfy, Mohammad Hammoudeh, Moataz Ahmed, Galal M. BinMakhashen, Mohamed Mohandes, Mohammad Tanvir Parvez, Motaz Alfarraj, Sadam Al-Azani and Hussein Samma and has published in prestigious journals such as IEEE Access, Pattern Recognition and Neurocomputing.

In The Last Decade

Hamzah Luqman

36 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamzah Luqman Saudi Arabia 14 375 270 201 156 121 42 553
Philippe Dreuw Germany 17 370 1.0× 247 0.9× 475 2.4× 78 0.5× 216 1.8× 26 739
Runpeng Cui China 5 498 1.3× 321 1.2× 469 2.3× 214 1.4× 117 1.0× 9 730
M. Teja Kiran Kumar India 10 212 0.6× 98 0.4× 226 1.1× 137 0.9× 50 0.4× 18 362
Lionel Pigou Belgium 3 226 0.6× 67 0.2× 256 1.3× 133 0.9× 73 0.6× 3 379
Muhammad Aminur Rahaman Bangladesh 9 172 0.5× 115 0.4× 101 0.5× 65 0.4× 21 0.2× 35 250
George Awad United States 13 129 0.3× 64 0.2× 406 2.0× 59 0.4× 71 0.6× 31 483
Sakshi Sharma India 7 196 0.5× 112 0.4× 93 0.5× 95 0.6× 31 0.3× 26 266
A Lijiya India 8 157 0.4× 108 0.4× 104 0.5× 73 0.5× 33 0.3× 22 262
Ibrahim Adeyanju Nigeria 8 97 0.3× 61 0.2× 59 0.3× 48 0.3× 59 0.5× 39 254

Countries citing papers authored by Hamzah Luqman

Since Specialization
Citations

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

Fields of papers citing papers by Hamzah Luqman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamzah Luqman

This figure shows the co-authorship network connecting the top 25 collaborators of Hamzah Luqman. A scholar is included among the top collaborators of Hamzah Luqman 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 Hamzah Luqman. Hamzah Luqman 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.
Luqman, Hamzah, et al.. (2026). Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition. IEEE Transactions on Multimedia. 1–9.
2.
Luqman, Hamzah, et al.. (2025). Ma’aks: manually-curated parallel dataset for Arabic text sentiment swap. Language Resources and Evaluation. 60(1).
3.
Luqman, Hamzah, et al.. (2025). FSBI: Deepfake detection with frequency enhanced self-blended images. Image and Vision Computing. 154. 105418–105418. 3 indexed citations
4.
Luqman, Hamzah, et al.. (2024). Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects. Information Processing & Management. 61(5). 103774–103774. 15 indexed citations
5.
Luqman, Hamzah, et al.. (2024). Empirical Analysis for Detecting Arabic Online Suicidal Ideation. Procedia Computer Science. 244. 143–150. 1 indexed citations
6.
Luqman, Hamzah, et al.. (2024). Swin-MSTP: Swin transformer with multi-scale temporal perception for continuous sign language recognition. Neurocomputing. 617. 129015–129015. 6 indexed citations
7.
Al-Azani, Sadam, et al.. (2024). Real-Time Monitoring of Personal Protective Equipment Compliance in Surveillance Cameras. IEEE Access. 12. 121882–121895. 4 indexed citations
8.
Alfarraj, Motaz, et al.. (2024). Geology-constrained dynamic graph convolutional networks for seismic facies classification. Computers & Geosciences. 184. 105516–105516. 2 indexed citations
9.
10.
Luqman, Hamzah, et al.. (2024). StanceEval 2024: The First Arabic Stance Detection Shared Task. 774–782. 1 indexed citations
11.
12.
Luqman, Hamzah, et al.. (2023). Diabetic retinopathy grading review: Current techniques and future directions. Image and Vision Computing. 139. 104821–104821. 7 indexed citations
13.
Luqman, Hamzah, et al.. (2023). Isolated Arabic Sign Language Recognition Using a Transformer-based Model and Landmark Keypoints. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(1). 1–19. 37 indexed citations
14.
Luqman, Hamzah, et al.. (2023). A systematic review of machine learning techniques for stance detection and its applications. Neural Computing and Applications. 35(7). 5113–5144. 34 indexed citations
15.
Luqman, Hamzah, et al.. (2022). Mawqif: A Multi-label Arabic Dataset for Target-specific Stance Detection. 174–184. 8 indexed citations
16.
Luqman, Hamzah, et al.. (2021). Fine-Grained Sentiment Analysis of Arabic COVID-19 Tweets Using BERT-Based Transformers and Dynamically Weighted Loss Function. Applied Sciences. 11(22). 10694–10694. 21 indexed citations
17.
Deriche, Mohamed, et al.. (2021). Arabic Sign Language Recognition Using Deep Machine Learning. 1–4. 11 indexed citations
18.
19.
Luqman, Hamzah, et al.. (2019). Using Gabor Filter Bank with Downsampling and SVM for Visual Sign Language Alphabet Recognition. 15 (6 pp.)–15 (6 pp.). 9 indexed citations
20.
Mahmoud, Sabri A., et al.. (2018). Online-KHATT: An Open-Vocabulary Database for Arabic Online-Text Processing. The Open Cybernetics & Systemics Journal. 12(1). 42–59. 23 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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