Ezzeddine Zagrouba

2.4k total citations · 1 hit paper
132 papers, 1.5k citations indexed

About

Ezzeddine Zagrouba is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Ezzeddine Zagrouba has authored 132 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Computer Vision and Pattern Recognition, 25 papers in Media Technology and 24 papers in Artificial Intelligence. Recurrent topics in Ezzeddine Zagrouba's work include Advanced Image and Video Retrieval Techniques (31 papers), Image Retrieval and Classification Techniques (27 papers) and Advanced Steganography and Watermarking Techniques (21 papers). Ezzeddine Zagrouba is often cited by papers focused on Advanced Image and Video Retrieval Techniques (31 papers), Image Retrieval and Classification Techniques (27 papers) and Advanced Steganography and Watermarking Techniques (21 papers). Ezzeddine Zagrouba collaborates with scholars based in Tunisia, France and Saudi Arabia. Ezzeddine Zagrouba's co-authors include Amira Ben Mabrouk, Olfa Mourali, Walid Barhoumi, Haithem Hermessi, Sami Dhahbi, H A Gharbi, Amr Ahmed, Michel Herbin, Mohamed Massaoudi and Vincent Charvillat and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and Pattern Recognition Letters.

In The Last Decade

Ezzeddine Zagrouba

121 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multimodal medical image fusion review: Theoretical background and recent advances

2021 197 citations Haithem Hermessi, Olfa Mourali et al. Signal Processing profile →

Peers

Ezzeddine Zagrouba

CVPR

AI

MT

RNMI

BE

Chun-Fu Richard Chen United States

Junding Sun China

Camel Tanougast France

Alper Baştürk Türkiye

Tripty Singh India

M. Arfan Jaffar Pakistan

Yichen Zhou China

Shohreh Kasaei Iran

P. Palanisamy India

Chun-Fu Richard Chen United States

Ezzeddine Zagrouba

797 ×0.8

CVPR

395 ×0.8

AI

199 ×0.6

MT

153 ×0.8

RNMI

115 ×0.7

BE

Citations per year, relative to Ezzeddine Zagrouba Ezzeddine Zagrouba (= 1×) peers Chun-Fu Richard Chen

Countries citing papers authored by Ezzeddine Zagrouba

Since Specialization

Citations

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

Fields of papers citing papers by Ezzeddine Zagrouba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ezzeddine Zagrouba

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zagrouba, Ezzeddine, et al.. (2024). RLA-DDTC: A Reinforcement Learning Agent-based approach for Decision-making for Dynamic Traffic Control in C-ITS systems. Procedia Computer Science. 246. 3475–3484.

2.

Azizi, Nabiha, et al.. (2024). Improved Two-Stage Transfer Learning Approach for ViT-Based Myocardial Infarction Detection. Arabian Journal for Science and Engineering. 50(19). 15341–15363. 1 indexed citations

3.

Zagrouba, Ezzeddine, et al.. (2024). MAAVSL-HIT2FS: Multi-Agent Based Architecture for Variable Speed Limit Decision making based on Hierarchical Interval Type 2 Fuzzy System. 1–8.

4.

Bigand, André, et al.. (2023). Towards Explainability in Using Deep Learning for Face Detection in Paintings. SPIRE - Sciences Po Institutional REpository. 832–841. 1 indexed citations

5.

Ghazouani, Haythem, et al.. (2023). Hierarchical Convolutional Neural Networks for Leaf Disease Detection. 1–6. 1 indexed citations

6.

Zagrouba, Ezzeddine, et al.. (2023). A new efficient anaglyph 3D image and video watermarking technique minimizing generation deficiencies. Multimedia Tools and Applications. 83(7). 19433–19463.

7.

Zagrouba, Ezzeddine, et al.. (2023). An Efficient Anaglyph 3D Content based Video Retrieval using Watermarking Technique. 157–164.

8.

Bigand, André, et al.. (2023). A comprehensive survey on object detection in Visual Art: taxonomy and challenge. Multimedia Tools and Applications. 83(5). 14637–14670. 9 indexed citations

9.

Hermessi, Haithem, Olfa Mourali, & Ezzeddine Zagrouba. (2021). Multimodal medical image fusion review: Theoretical background and recent advances. Signal Processing. 183. 108036–108036. 197 indexed citations breakdown →

10.

Zagrouba, Ezzeddine, et al.. (2019). Multi-kernel sparse subspace clustering on the Riemannian manifold of symmetric positive definite matrices. Pattern Recognition Letters. 125. 21–27. 10 indexed citations

11.

Barhoumi, Walid, et al.. (2019). Skeleton-based comparison of throwing motion for handball players. Journal of Ambient Intelligence and Humanized Computing. 11(1). 419–431. 19 indexed citations

12.

Dhahbi, Sami, Walid Barhoumi, Jarosław Kurek, et al.. (2018). False-positive reduction in computer-aided mass detection using mammographic texture analysis and classification. Computer Methods and Programs in Biomedicine. 160. 75–83. 23 indexed citations

13.

Mourali, Olfa, et al.. (2017). Multimodal Medical Image Fusion Using Modified PCNN Based on Linking Strength Estimation by MSVD Transform. International Journal of Computer and Communication Engineering. 6(3). 201–211. 6 indexed citations

14.

Dhahbi, Sami, Walid Barhoumi, & Ezzeddine Zagrouba. (2015). Breast cancer diagnosis in digitized mammograms using curvelet moments. Computers in Biology and Medicine. 64. 79–90. 87 indexed citations

15.

Dhahbi, Sami, Walid Barhoumi, & Ezzeddine Zagrouba. (2015). Multi-view score fusion for content-based mammogram retrieval. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9875. 987515–987515. 7 indexed citations

16.

Zagrouba, Ezzeddine, et al.. (2012). Flower image segmentation based on color analysis and a supervised evaluation. 397–401. 21 indexed citations

17.

Zagrouba, Ezzeddine, et al.. (2011). No-reference Image Semantic Quality Approach using Neural Network. 106–113. 4 indexed citations

18.

Zagrouba, Ezzeddine, et al.. (2010). Estimation of mass function in evidence theory for fusion of gray level based images. 127–130. 1 indexed citations

19.

Herbin, Michel, et al.. (2009). SCID: full reference spatial color image quality metric. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7242. 72420U–72420U. 3 indexed citations

20.

Zagrouba, Ezzeddine, et al.. (2008). Ontologies For The Semantic-Based Medical Image Indexing: An Overview.. 311–317. 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