Abdesslam Benzinou

597 total citations
29 papers, 303 citations indexed

About

Abdesslam Benzinou is a scholar working on Computer Vision and Pattern Recognition, Water Science and Technology and Molecular Biology. According to data from OpenAlex, Abdesslam Benzinou has authored 29 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Water Science and Technology and 6 papers in Molecular Biology. Recurrent topics in Abdesslam Benzinou's work include Water Quality Monitoring Technologies (7 papers), Cell Image Analysis Techniques (6 papers) and Morphological variations and asymmetry (4 papers). Abdesslam Benzinou is often cited by papers focused on Water Quality Monitoring Technologies (7 papers), Cell Image Analysis Techniques (6 papers) and Morphological variations and asymmetry (4 papers). Abdesslam Benzinou collaborates with scholars based in France, Lebanon and United Kingdom. Abdesslam Benzinou's co-authors include Ronan Fablet, Jean Le Bihan, H. Troadec, Jacques Tisseau, Nolwenn Hymery, Hélène de Pontual, Anatole Chessel, Kelig Mahé, Alain‐Claude Roudot and Abdul Qayyum and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Abdesslam Benzinou

28 papers receiving 293 citations

Peers

Abdesslam Benzinou

CVPR

GPC

WST

NLC

Sébastien Villon France

E.O. Belcher United States

Meng-Che Chuang United States

Farron Wallace United States

Alzayat Saleh Australia

Richard H. Towler United States

Wenkai Xu China

Anderson Santos Brazil

Liangjie Liu China

Sébastien Villon France

Abdesslam Benzinou

41 ×0.5

CVPR

40 ×0.5

GPC

129 ×1.9

WST

92 ×1.5

NLC

78 ×1.4

Citations per year, relative to Abdesslam Benzinou Abdesslam Benzinou (= 1×) peers Sébastien Villon

Countries citing papers authored by Abdesslam Benzinou

Since Specialization

Citations

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

Fields of papers citing papers by Abdesslam Benzinou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdesslam Benzinou

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

All Works

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20 of 20 papers shown

Gennip, Simon Van, et al.. (2025). Neural Prediction of Lagrangian Drift Trajectories on the Sea Surface. SPIRE - Sciences Po Institutional REpository. 4(3).

Qayyum, Abdul, Abdesslam Benzinou, Oumaima Saidani, et al.. (2024). Assessment and classification of COVID-19 DNA sequence using pairwise features concatenation from multi-transformer and deep features with machine learning models. SLAS TECHNOLOGY. 29(4). 100147–100147. 6 indexed citations

Benzinou, Abdesslam, et al.. (2024). An efficient center-based method for real-time pig posture recognition and tracking. Applied Intelligence. 54(6). 5183–5196. 3 indexed citations

Benzinou, Abdesslam, et al.. (2023). Fuzzy Model for the Automatic Recognition of Human Dendritic Cells. Journal of Imaging. 9(1). 13–13. 1 indexed citations

Benzinou, Abdesslam, et al.. (2022). Live Fish Species Classification in Underwater Images by Using Convolutional Neural Networks Based on Incremental Learning with Knowledge Distillation Loss. SHILAP Revista de lepidopterología. 4(3). 753–767. 18 indexed citations

Qayyum, Abdul, Abdesslam Benzinou, Imran Razzak, et al.. (2022). 3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction. IEEE Journal of Biomedical and Health Informatics. 28(3). 1185–1194. 6 indexed citations

Benzinou, Abdesslam, et al.. (2022). Targeted Data Augmentation and Hierarchical Classification with Deep Learning for Fish Species Identification in Underwater Images. Journal of Imaging. 8(8). 214–214. 17 indexed citations

Benzinou, Abdesslam, et al.. (2021). Multi-stream fish detection in unconstrained underwater videos by the fusion of two convolutional neural network detectors. Applied Intelligence. 51(8). 5809–5821. 40 indexed citations

Benzinou, Abdesslam, et al.. (2020). Automatic Human Dendritic Cells Segmentation Using K-Means Clustering and Chan-Vese Active Contour Model. Computer Methods and Programs in Biomedicine. 195. 105520–105520. 19 indexed citations

10.

Benzinou, Abdesslam, et al.. (2019). A robust tangent PCA via shape restoration for shape variability analysis. Pattern Analysis and Applications. 23(2). 653–671. 2 indexed citations

11.

Benzinou, Abdesslam, et al.. (2013). Geodesics-Based Image Registration: Applications To Biological And Medical Images Depicting Concentric Ring Patterns. IEEE Transactions on Image Processing. 22(11). 4436–4446. 6 indexed citations

12.

Benzinou, Abdesslam, et al.. (2013). Discriminating stocks of striped red mullet (Mullus surmuletus) in the Northwest European seas using three automatic shape classification methods. Fisheries Research. 143. 153–160. 25 indexed citations

13.

Benzinou, Abdesslam, et al.. (2010). Variational shape matching for shape classification and retrieval. Pattern Recognition Letters. 31(12). 1650–1657. 30 indexed citations

14.

Fablet, Ronan, et al.. (2008). 2D Image-based reconstruction of shape deformation of biological structures using a level-set representation. Computer Vision and Image Understanding. 111(3). 295–306. 7 indexed citations

15.

Fablet, Ronan, et al.. (2008). Reconstructing individual shape histories of fish otoliths: A new image-based tool for otolith growth analysis and modeling. Fisheries Research. 96(2-3). 148–159. 18 indexed citations

16.

Benzinou, Abdesslam, et al.. (2006). Haematopoietic cell clusters quantification using image analysis. Biomedical Signal Processing and Control. 1(4). 282–288. 4 indexed citations

17.

Fablet, Ronan, et al.. (2006). Variational Level-Set Reconstruction of Accretionary Morphogenesis from Images. SPIRE - Sciences Po Institutional REpository. 6. 221–224. 1 indexed citations

18.

Fablet, Ronan, et al.. (2004). Automatic fish age estimation from otolith images using statistical learning. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 503–506 Vol.4. 2 indexed citations

19.

Benzinou, Abdesslam, et al.. (2004). Digital image analysis of haematopoietic clusters. Computer Methods and Programs in Biomedicine. 77(2). 121–127. 6 indexed citations

20.

Troadec, H., et al.. (2002). Growth ring detection on fish otoliths by a graph construction. 1. 685–688. 8 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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