Imad Rida

2.0k total citations
57 papers, 1.1k citations indexed

About

Imad Rida is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Imad Rida has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 16 papers in Biomedical Engineering. Recurrent topics in Imad Rida's work include Gait Recognition and Analysis (10 papers), Biometric Identification and Security (10 papers) and Human Pose and Action Recognition (10 papers). Imad Rida is often cited by papers focused on Gait Recognition and Analysis (10 papers), Biometric Identification and Security (10 papers) and Human Pose and Action Recognition (10 papers). Imad Rida collaborates with scholars based in France, China and India. Imad Rida's co-authors include Somaya Al-Máadeed, Noor Almaadeed, Gian Luca Marcialis, Anubha Parashar, Xudong Jiang, Ahmed Bouridane, Jatin Bedi, Sambit Bakshi, Weiping Ding and Rajveer Singh Shekhawat and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Imad Rida

54 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Imad Rida France 21 550 309 249 203 114 57 1.1k
Noor Almaadeed Qatar 20 700 1.3× 163 0.5× 282 1.1× 209 1.0× 78 0.7× 42 1.1k
Uzoma Rita Alo Nigeria 8 478 0.9× 252 0.8× 271 1.1× 107 0.5× 83 0.7× 13 955
Sergey Tulyakov United States 23 1.2k 2.2× 225 0.7× 245 1.0× 361 1.8× 50 0.4× 90 1.9k
Munif Alotaibi Saudi Arabia 15 266 0.5× 157 0.5× 248 1.0× 92 0.5× 51 0.4× 32 736
P. Karthigaikumar India 16 381 0.7× 138 0.4× 286 1.1× 104 0.5× 73 0.6× 60 948
Jang‐Hee Yoo South Korea 17 826 1.5× 357 1.2× 234 0.9× 299 1.5× 70 0.6× 59 1.1k
Dimitrios Kosmopoulos Greece 22 579 1.1× 131 0.4× 385 1.5× 113 0.6× 56 0.5× 81 1.2k
Muhammad Haroon Yousaf Pakistan 18 631 1.1× 124 0.4× 426 1.7× 91 0.4× 47 0.4× 84 1.2k
Tsung‐Han Tsai Taiwan 19 879 1.6× 185 0.6× 176 0.7× 436 2.1× 273 2.4× 216 1.4k
Javier Lorenzo-Navarro Spain 17 394 0.7× 158 0.5× 114 0.5× 186 0.9× 140 1.2× 80 1.0k

Countries citing papers authored by Imad Rida

Since Specialization
Citations

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

Fields of papers citing papers by Imad Rida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imad Rida

This figure shows the co-authorship network connecting the top 25 collaborators of Imad Rida. A scholar is included among the top collaborators of Imad Rida 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 Imad Rida. Imad Rida 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.
Zhai, Wenzhe, Jianyong Wang, Mingliang Gao, et al.. (2025). Towards generalizable object counting via dual-prompted cross-modality fusion network. Information Fusion. 127. 103837–103837.
2.
Song, Weichen, et al.. (2025). Deepfake detection via Feature Refinement and Enhancement Network. Image and Vision Computing. 162. 105663–105663. 2 indexed citations
3.
Li, Qilei, et al.. (2025). Generalizable deepfake detection via Spatial Kernel Selection and Halo Attention Network. Image and Vision Computing. 160. 105582–105582. 5 indexed citations
4.
Orrù, Giulia, Ajita Rattani, Imad Rida, & Sébastien Marcel. (2024). Recent advances in behavioral and hidden biometrics for personal identification. Pattern Recognition Letters. 185. 108–109.
5.
Anand, Ashima, Jatin Bedi, Ashutosh Aggarwal, Muhammad Attique Khan, & Imad Rida. (2024). Authenticating and securing healthcare records: A deep learning-based zero watermarking approach. Image and Vision Computing. 145. 104975–104975. 24 indexed citations
6.
Khan, Habib, et al.. (2024). Attention enhanced machine instinctive vision with human-inspired saliency detection. Image and Vision Computing. 152. 105308–105308. 39 indexed citations
7.
Yar, Hikmat, et al.. (2024). An efficient deep learning architecture for effective fire detection in smart surveillance. Image and Vision Computing. 145. 104989–104989. 29 indexed citations
8.
Anand, Ashima, Jatin Bedi, & Imad Rida. (2024). MIWET: Medical image watermarking using encryption and fusion technique. Computers & Electrical Engineering. 115. 109114–109114. 19 indexed citations
9.
10.
Wani, Niyaz Ahmad, Jatin Bedi, Ravinder Kumar, Muhammad Attique Khan, & Imad Rida. (2024). Synergizing Fusion Modeling for Accurate Cardiac Prediction Through Explainable Artificial Intelligence. IEEE Transactions on Consumer Electronics. 71(1). 1504–1512. 20 indexed citations
11.
Parashar, Anubha, et al.. (2024). Journey into gait biometrics: Integrating deep learning for enhanced pattern recognition. Digital Signal Processing. 147. 104393–104393. 4 indexed citations
12.
Hussain, Altaf, Samee U. Khan, Imad Rida, Noman Khan, & Sung Wook Baik. (2023). Human centric attention with deep multiscale feature fusion framework for activity recognition in Internet of Medical Things. Information Fusion. 106. 102211–102211. 19 indexed citations
13.
Dhaka, Vijaypal Singh, et al.. (2023). Internet of Things in healthcare: A survey on protocol standards, enabling technologies, WBAN architectures and open issues. Physical Communication. 60. 102103–102103. 26 indexed citations
14.
Rida, Imad, et al.. (2023). Time-domain features for sEMG signal classification: A brief survey. SPIRE - Sciences Po Institutional REpository. 3 indexed citations
15.
Chen, Yihan, et al.. (2023). FDEPCA: A Novel Adaptive Nonlinear Feature Extraction Method via Fruit Fly Olfactory Neural Network for IoMT Anomaly Detection. IEEE Journal of Biomedical and Health Informatics. 30(1). 27–38. 1 indexed citations
16.
Hussain, Altaf, Samee U. Khan, Noman Khan, et al.. (2023). Low-light aware framework for human activity recognition via optimized dual stream parallel network. Alexandria Engineering Journal. 74. 569–583. 25 indexed citations
17.
Vishnuram, Pradeep, et al.. (2023). A Novel Technological Review on Fast Charging Infrastructure for Electrical Vehicles: Challenges, Solutions, and Future Research Directions. Alexandria Engineering Journal. 82. 260–290. 46 indexed citations
18.
Iqbal, Saeed, Adnan N. Qureshi, Khursheed Aurangzeb, et al.. (2023). AMIAC: adaptive medical image analyzes and classification, a robust self-learning framework. Neural Computing and Applications. 37(25). 20451–20479. 19 indexed citations
19.
Rishi, Rahul, et al.. (2023). Medical imaging in rheumatoid arthritis: A review on deep learning approach. Open Life Sciences. 18(1). 20220611–20220611. 11 indexed citations
20.
Rida, Imad, Somaya Al-Máadeed, Arif Mahmood, Ahmed Bouridane, & Sambit Bakshi. (2018). Palmprint Identification Using an Ensemble of Sparse Representations. IEEE Access. 6. 3241–3248. 47 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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