Abderrahim Elmoataz

2.5k total citations
82 papers, 1.2k citations indexed

About

Abderrahim Elmoataz is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Abderrahim Elmoataz has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 19 papers in Computational Theory and Mathematics and 18 papers in Artificial Intelligence. Recurrent topics in Abderrahim Elmoataz's work include Medical Image Segmentation Techniques (29 papers), Image Retrieval and Classification Techniques (17 papers) and AI in cancer detection (12 papers). Abderrahim Elmoataz is often cited by papers focused on Medical Image Segmentation Techniques (29 papers), Image Retrieval and Classification Techniques (17 papers) and AI in cancer detection (12 papers). Abderrahim Elmoataz collaborates with scholars based in France, Algeria and Morocco. Abderrahim Elmoataz's co-authors include Olivier Lézoray, Sébastien Bougleux, Mahmoud Melkemi, Vinh‐Thong Ta, Cyril Meurie, Marinette Revenu, Paulette Herlin, Su Ruan, D. Bloyet and Jean Meunier and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Abderrahim Elmoataz

79 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abderrahim Elmoataz France 19 662 300 225 195 161 82 1.2k
Olivier Lézoray France 19 958 1.4× 436 1.5× 207 0.9× 113 0.6× 228 1.4× 95 1.5k
Bradley J. Lucier United States 18 1.1k 1.7× 137 0.5× 597 2.7× 111 0.6× 322 2.0× 44 1.9k
Laurent Condat France 16 915 1.4× 194 0.6× 738 3.3× 234 1.2× 537 3.3× 57 1.9k
Luca Zanni Italy 18 469 0.7× 240 0.8× 615 2.7× 200 1.0× 61 0.4× 56 1.3k
Simon Setzer Germany 12 502 0.8× 142 0.5× 600 2.7× 129 0.7× 100 0.6× 29 1.2k
J. Woods United States 16 1.6k 2.4× 334 1.1× 301 1.3× 73 0.4× 408 2.5× 46 2.3k
Soheil Kolouri United States 16 622 0.9× 696 2.3× 77 0.3× 85 0.4× 119 0.7× 50 1.6k
C. Si̇nan Güntürk United States 12 462 0.7× 126 0.4× 594 2.6× 72 0.4× 69 0.4× 25 1.2k
V. Caselles Spain 9 2.3k 3.5× 94 0.3× 457 2.0× 96 0.5× 294 1.8× 13 2.8k
Matthew Fickus United States 16 314 0.5× 142 0.5× 254 1.1× 47 0.2× 44 0.3× 53 824

Countries citing papers authored by Abderrahim Elmoataz

Since Specialization
Citations

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

Fields of papers citing papers by Abderrahim Elmoataz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abderrahim Elmoataz

This figure shows the co-authorship network connecting the top 25 collaborators of Abderrahim Elmoataz. A scholar is included among the top collaborators of Abderrahim Elmoataz 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 Abderrahim Elmoataz. Abderrahim Elmoataz 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.
Elmoataz, Abderrahim, et al.. (2023). Graph based semi-supervised learning using spatial segregation theory. Journal of Computational Science. 74. 102153–102153. 1 indexed citations
2.
Quéau, Yvain, et al.. (2023). Tug of War games and PDEs on graphs with applications in image and high dimensional data processing. Scientific Reports. 13(1). 6045–6045. 1 indexed citations
3.
Elmoataz, Abderrahim, et al.. (2023). Graph Based Semi-Supervised Learning Using Spatial Segregation Theory. SSRN Electronic Journal.
4.
Quéau, Yvain, et al.. (2023). 3D surface Approximation of the Entire Bayeux Tapestry for Improved Pedagogical Access. 3. 1585–1594. 1 indexed citations
5.
Elmoataz, Abderrahim, et al.. (2017). Improved Simultaneous Algebraic Reconstruction Technique Algorithm for Positron-Emission Tomography Image Reconstruction via Minimizing the Fast Total Variation. Journal of medical imaging and radiation sciences. 48(4). 385–393. 6 indexed citations
6.
Elmoataz, Abderrahim, et al.. (2016). Nonlocal PDEs on Graphs: From Tug-of-War Games to Unified Interpolation on Images and Point Clouds. Journal of Mathematical Imaging and Vision. 57(3). 381–401. 11 indexed citations
7.
Elmoataz, Abderrahim, et al.. (2014). Image and Signal Processing: 6th International Conference, ICISP 2014, Cherbourg, France, June 20 -- July 2, 2014, Proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations
8.
Ta, Vinh‐Thong, Olivier Lézoray, & Abderrahim Elmoataz. (2013). Graphs regularization for data sets and images: Filtering and semi-supervised classification.
9.
Lézoray, Olivier, et al.. (2011). Multi-resolution graph-based analysis of histopathological whole slide images: Application to mitotic cell extraction and visualization. Computerized Medical Imaging and Graphics. 35(7-8). 603–615. 71 indexed citations
10.
Ta, Vinh‐Thong, Abderrahim Elmoataz, & Olivier Lézoray. (2011). Nonlocal PDEs-Based Morphology on Weighted Graphs for Image and Data Processing. IEEE Transactions on Image Processing. 20(6). 1504–1516. 43 indexed citations
11.
Elmoataz, Abderrahim & Jean Meunier. (2010). Image and Signal Processing. Lecture notes in computer science. 19 indexed citations
12.
Elmoataz, Abderrahim, et al.. (2008). Image and Signal Processing - 3rd International Conference, ICISP 2008, Cherbourg-Octeville, France, July 1-3, 2008, Proceedings. 7 indexed citations
13.
Elmoataz, Abderrahim, Olivier Lézoray, & Sébastien Bougleux. (2008). Nonlocal Discrete Regularization on Weighted Graphs: A Framework for Image and Manifold Processing. IEEE Transactions on Image Processing. 17(7). 1047–1060. 267 indexed citations
14.
Michels, Jean‐Jacques, et al.. (2008). Automated region of interest retrieval and classification using spectral analysis. Diagnostic Pathology. 3(Suppl 1). S17–S17. 25 indexed citations
15.
Lézoray, Olivier, Abderrahim Elmoataz, & Sébastien Bougleux. (2007). Graph regularization for color image processing. Computer Vision and Image Understanding. 107(1-2). 38–55. 31 indexed citations
16.
Lézoray, Olivier, et al.. (2005). Hiérarchie de partitions pour la simplification et la segmentation d'images couleur. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
17.
Meurie, Cyril, Olivier Lézoray, Christophe Charrier, & Abderrahim Elmoataz. (2005). Combination of Multiple Pixel Classifiers for Microscopic Image Segmentation. International Journal of Robotics and Automation. 20(2). 12 indexed citations
18.
Meurie, Cyril, et al.. (2003). A comparison of supervised pixel-based color image segmentation methods. Application in cancerology. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
19.
Elmoataz, Abderrahim, et al.. (2001). Mathematical morphologic segmentation dedicated to quantitative immunohistochemistry.. PubMed. 23(4). 257–67. 8 indexed citations
20.
Boudry, Christophe, Paulette Herlin, Benoît Plancoulaine, et al.. (1999). Automatic Morphological Sieving: Comparison between Different Methods, Application to DNA Ploidy Measurements. Analytical Cellular Pathology. 18(4). 203–210. 1 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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