Omar Elharrouss

2.6k total citations
65 papers, 1.4k citations indexed

About

Omar Elharrouss is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Omar Elharrouss has authored 65 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Omar Elharrouss's work include Video Surveillance and Tracking Methods (24 papers), Anomaly Detection Techniques and Applications (10 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Omar Elharrouss is often cited by papers focused on Video Surveillance and Tracking Methods (24 papers), Anomaly Detection Techniques and Applications (10 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Omar Elharrouss collaborates with scholars based in Qatar, Morocco and United Arab Emirates. Omar Elharrouss's co-authors include Somaya Al-Máadeed, Noor Almaadeed, Nandhini Subramanian, Ahmed Bouridane, Hamid Tairi, Younes Akbari, Amr Mohamed, Mohamed O. Elasri, Azeddine Beghdadi and Khalid Abualsaud and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Omar Elharrouss

60 papers receiving 1.3k citations

Peers

Omar Elharrouss
Omar Elharrouss
Citations per year, relative to Omar Elharrouss Omar Elharrouss (= 1×) peers Ahmed Sedik

Countries citing papers authored by Omar Elharrouss

Since Specialization
Citations

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

Fields of papers citing papers by Omar Elharrouss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omar Elharrouss

This figure shows the co-authorship network connecting the top 25 collaborators of Omar Elharrouss. A scholar is included among the top collaborators of Omar Elharrouss 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 Omar Elharrouss. Omar Elharrouss 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.
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
2.
Jouhari, Mohammed, et al.. (2025). A lightweight hybrid approach for intrusion detection systems using a chi-square feature selection approach in IoT. Internet of Things. 32. 101624–101624. 1 indexed citations
3.
Elharrouss, Omar, Yassine Himeur, Saed Alrabaee, et al.. (2025). ViTs as backbones: Leveraging vision transformers for feature extraction. Information Fusion. 118. 102951–102951. 9 indexed citations
4.
Elharrouss, Omar, et al.. (2024). Backbones-review: Feature extractor networks for deep learning and deep reinforcement learning approaches in computer vision. Computer Science Review. 53. 100645–100645. 31 indexed citations
5.
Himeur, Yassine, Nour Aburaed, Omar Elharrouss, et al.. (2024). Applications of knowledge distillation in remote sensing: A survey. Information Fusion. 115. 102742–102742. 6 indexed citations
6.
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
8.
Elharrouss, Omar, et al.. (2023). GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation. Bioengineering. 11(1). 4–4. 6 indexed citations
9.
Akbari, Younes, et al.. (2023). A New Framework for Smart Doors Using mmWave Radar and Camera-Based Face Detection and Recognition Techniques. Sensors. 24(1). 172–172. 1 indexed citations
10.
Elharrouss, Omar, et al.. (2023). A Survey on Deep-Learning-Based Diabetic Retinopathy Classification. Diagnostics. 13(3). 345–345. 42 indexed citations
11.
Elharrouss, Omar, et al.. (2023). 3D Point Cloud for Objects and Scenes Classification, Recognition, Segmentation, and Reconstruction: A Review. arXiv (Cornell University). 134–160. 8 indexed citations
12.
Elharrouss, Omar, et al.. (2023). Ultrasound Intima-Media Complex (IMC) Segmentation Using Deep Learning Models. Applied Sciences. 13(8). 4821–4821. 10 indexed citations
13.
Subramanian, Nandhini, et al.. (2022). A review of deep learning-based detection methods for COVID-19. Computers in Biology and Medicine. 143. 105233–105233. 108 indexed citations
14.
Elharrouss, Omar, Noor Almaadeed, Somaya Al-Máadeed, et al.. (2022). ViDMASK dataset for face mask detection with social distance measurement. Displays. 73. 102235–102235. 13 indexed citations
15.
Himeur, Yassine, Somaya Al-Máadeed, Noor Almaadeed, et al.. (2022). Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey. Sustainable Cities and Society. 85. 104064–104064. 19 indexed citations
16.
Elharrouss, Omar, Nandhini Subramanian, & Somaya Al-Máadeed. (2021). An Encoder–Decoder-Based Method for Segmentation of COVID-19 Lung Infection in CT Images. SN Computer Science. 3(1). 13–13. 38 indexed citations
17.
Elharrouss, Omar, et al.. (2021). BEMD-3DCNN-based method for COVID-19 detection. Computers in Biology and Medicine. 142. 105188–105188. 22 indexed citations
18.
Elharrouss, Omar, et al.. (2021). ANFIS-Net for automatic detection of COVID-19. Scientific Reports. 11(1). 17318–17318. 15 indexed citations
19.
Elharrouss, Omar, et al.. (2017). Moving object detection with an adaptive background model. 40. 1–5. 1 indexed citations
20.
Elharrouss, Omar, et al.. (2016). Image Analysis Using Disc-Harmonic Moments and Their RST Invariants in Pattern Recognition. 150–155. 2 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