Nabil Zerrouki

816 total citations
32 papers, 561 citations indexed

About

Nabil Zerrouki is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Ecology. According to data from OpenAlex, Nabil Zerrouki has authored 32 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Biomedical Engineering and 9 papers in Ecology. Recurrent topics in Nabil Zerrouki's work include Context-Aware Activity Recognition Systems (10 papers), Remote Sensing in Agriculture (9 papers) and Remote-Sensing Image Classification (8 papers). Nabil Zerrouki is often cited by papers focused on Context-Aware Activity Recognition Systems (10 papers), Remote Sensing in Agriculture (9 papers) and Remote-Sensing Image Classification (8 papers). Nabil Zerrouki collaborates with scholars based in Algeria, Saudi Arabia and Sweden. Nabil Zerrouki's co-authors include Amrane Houacine, Ying Sun, Fouzi Harrou, Djamel Bouchaffra, Abdelkader Dairi, Benamar Bouyeddou, S. Lafane, Adel Oulefki, Ahmed Bentaleb and A. Aissat and has published in prestigious journals such as IEEE Access, IEEE Sensors Journal and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Nabil Zerrouki

30 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nabil Zerrouki Algeria 11 334 198 129 81 66 32 561
Qi Zou China 16 370 1.1× 51 0.3× 144 1.1× 87 1.1× 36 0.5× 63 730
Guangle Yao China 11 351 1.1× 67 0.3× 164 1.3× 68 0.8× 13 0.2× 30 591
Shuang Bai China 13 396 1.2× 65 0.3× 134 1.0× 53 0.7× 21 0.3× 39 656
B. S. Sathish India 10 198 0.6× 48 0.2× 65 0.5× 71 0.9× 15 0.2× 33 499
Zhiqi Li China 8 476 1.4× 31 0.2× 171 1.3× 95 1.2× 19 0.3× 25 783
Pedro Santana Portugal 15 265 0.8× 66 0.3× 64 0.5× 15 0.2× 25 0.4× 78 661
Albert Dipandà France 10 143 0.4× 47 0.2× 47 0.4× 36 0.4× 14 0.2× 29 359
Cunzhao Shi China 17 783 2.3× 49 0.2× 201 1.6× 370 4.6× 57 0.9× 45 984
Xubing Yang China 14 208 0.6× 62 0.3× 122 0.9× 84 1.0× 67 1.0× 45 585
Arne Schumann Germany 17 1.0k 3.1× 243 1.2× 113 0.9× 62 0.8× 13 0.2× 50 1.2k

Countries citing papers authored by Nabil Zerrouki

Since Specialization
Citations

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

Fields of papers citing papers by Nabil Zerrouki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nabil Zerrouki

This figure shows the co-authorship network connecting the top 25 collaborators of Nabil Zerrouki. A scholar is included among the top collaborators of Nabil Zerrouki 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 Nabil Zerrouki. Nabil Zerrouki 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.
Zerrouki, Nabil, et al.. (2025). Secure and reversible fragile watermarking for accurate authentication and tamper localization in medical images. Computers & Electrical Engineering. 123. 110072–110072. 5 indexed citations
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Zerrouki, Nabil, et al.. (2024). Deep Learning for Hand Gesture Recognition in Virtual Museum Using Wearable Vision Sensors. IEEE Sensors Journal. 24(6). 8857–8869. 6 indexed citations
5.
Harrou, Fouzi, et al.. (2024). Detecting the signs of desertification with Landsat imagery: A semi-supervised anomaly detection approach. Results in Engineering. 22. 102037–102037. 10 indexed citations
6.
Zerrouki, Nabil, et al.. (2024). Image-driven machine learning for automatic characterization of grain size and distribution in smart vanadium dioxide thin films. Measurement. 233. 114791–114791. 5 indexed citations
7.
Benbelkacem, Samir, et al.. (2023). Tumor Lung Visualization and Localization through Virtual Reality and Thermal Feedback Interface. Diagnostics. 13(3). 567–567. 7 indexed citations
8.
Dairi, Abdelkader, Nabil Zerrouki, Fouzi Harrou, & Ying Sun. (2022). EEG-Based Mental Tasks Recognition via a Deep Learning-Driven Anomaly Detector. Diagnostics. 12(12). 2984–2984. 10 indexed citations
9.
Zerrouki, Nabil, et al.. (2022). Efficient scene analysis by a deep learning-long short-term memory approach based on polarimetric measurements. The Imaging Science Journal. 70(5). 315–325. 2 indexed citations
10.
Zerrouki, Nabil, et al.. (2021). Efficient land desertification detection using a deep learning‐driven generative adversarial network approach: A case study. Concurrency and Computation Practice and Experience. 34(4). 7 indexed citations
11.
Harrou, Fouzi, Nabil Zerrouki, Abdelkader Dairi, Ying Sun, & Amrane Houacine. (2021). Automatic Human Fall Detection Using Multiple Tri-axial Accelerometers. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 16. 74–78. 2 indexed citations
12.
Harrou, Fouzi, et al.. (2020). Desertification Detection Using an Improved Variational Autoencoder-Based Approach Through ETM-Landsat Satellite Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 202–213. 37 indexed citations
13.
Harrou, Fouzi, Nabil Zerrouki, Ying Sun, & Amrane Houacine. (2019). An Integrated Vision-Based Approach for Efficient Human Fall Detection in a Home Environment. IEEE Access. 7. 114966–114974. 62 indexed citations
14.
Zerrouki, Nabil, et al.. (2019). A Machine Learning-Based Approach for Land Cover Change Detection Using Remote Sensing and Radiometric Measurements. IEEE Sensors Journal. 19(14). 5843–5850. 37 indexed citations
15.
Zerrouki, Nabil, Fouzi Harrou, Ying Sun, & Amrane Houacine. (2018). Vision-Based Human Action Classification Using Adaptive Boosting Algorithm. IEEE Sensors Journal. 18(12). 5115–5121. 64 indexed citations
16.
Zerrouki, Nabil, Fouzi Harrou, & Ying Sun. (2018). Statistical Monitoring of Changes to Land Cover. IEEE Geoscience and Remote Sensing Letters. 15(6). 927–931. 15 indexed citations
17.
Zerrouki, Nabil, Fouzi Harrou, Ying Sun, & Amrane Houacine. (2016). Accelerometer and Camera-Based Strategy for Improved Human Fall Detection. Journal of Medical Systems. 40(12). 284–284. 28 indexed citations
18.
Zerrouki, Nabil, Fouzi Harrou, Amrane Houacine, & Ying Sun. (2016). Fall detection using supervised machine learning algorithms: A comparative study. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 665–670. 25 indexed citations
19.
Zerrouki, Nabil, Fouzi Harrou, Ying Sun, & Amrane Houacine. (2016). A Data-Driven Monitoring Technique for Enhanced Fall Events Detection. IFAC-PapersOnLine. 49(5). 333–338. 6 indexed citations
20.
Bouchaffra, Djamel, et al.. (2015). Determination of an optimal feature selection method based on maximum Shapley value. 116–121. 6 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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