Jean Séqueira

1.2k total citations
23 papers, 355 citations indexed

About

Jean Séqueira is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Jean Séqueira has authored 23 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 3 papers in Computational Mechanics. Recurrent topics in Jean Séqueira's work include Medical Image Segmentation Techniques (5 papers), Face recognition and analysis (4 papers) and Advanced Vision and Imaging (4 papers). Jean Séqueira is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Face recognition and analysis (4 papers) and Advanced Vision and Imaging (4 papers). Jean Séqueira collaborates with scholars based in France, Algeria and China. Jean Séqueira's co-authors include Jean‐Luc Mari, Guillaume Thibault, Bernard Fertil, Claire Navarro, Sébastien Mavromatis, Nicolas Lévy, Sandrine Pereira, Feng Zhang, Renyi Liu and Zhenhong Du and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and Computerized Medical Imaging and Graphics.

In The Last Decade

Jean Séqueira

22 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean Séqueira France 8 149 136 74 51 44 23 355
Xinhua Cao United States 12 225 1.5× 160 1.2× 55 0.7× 55 1.1× 59 1.3× 46 575
Xiaoben Jiang China 10 88 0.6× 130 1.0× 29 0.4× 42 0.8× 84 1.9× 14 300
Zhuo Zhao China 9 78 0.5× 121 0.9× 25 0.3× 50 1.0× 85 1.9× 37 387
Jing Cui United States 12 260 1.7× 142 1.0× 45 0.6× 53 1.0× 131 3.0× 49 615
Jacob C. Reinhold United States 4 210 1.4× 105 0.8× 17 0.2× 62 1.2× 86 2.0× 7 393
Yuefu Zhan China 11 87 0.6× 91 0.7× 16 0.2× 34 0.7× 63 1.4× 39 291
Audrey H. Zhuang United States 6 197 1.3× 212 1.6× 35 0.5× 62 1.2× 46 1.0× 8 443
Andrius Ušinskas Lithuania 5 82 0.6× 104 0.8× 28 0.4× 29 0.6× 37 0.8× 20 251
Guangzhe Zhao China 13 90 0.6× 189 1.4× 83 1.1× 70 1.4× 75 1.7× 41 543

Countries citing papers authored by Jean Séqueira

Since Specialization
Citations

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

Fields of papers citing papers by Jean Séqueira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Séqueira

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Séqueira. A scholar is included among the top collaborators of Jean Séqueira 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 Jean Séqueira. Jean Séqueira 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.
Mavromatis, Sébastien, Feng Zhang, Zhenhong Du, et al.. (2021). Single-Image Super-Resolution for Remote Sensing Images Using a Deep Generative Adversarial Network With Local and Global Attention Mechanisms. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–24. 42 indexed citations
2.
Qin, Mengjiao, Sébastien Mavromatis, Linshu Hu, et al.. (2020). Remote Sensing Single-Image Resolution Improvement Using A Deep Gradient-Aware Network with Image-Specific Enhancement. Remote Sensing. 12(5). 758–758. 34 indexed citations
3.
Mavromatis, Sébastien, et al.. (2020). Kinship Verification Through Facial Images Using CNN-Based Features. Traitement du signal. 37(1). 1–8. 5 indexed citations
4.
Mavromatis, Sébastien, et al.. (2020). A Robust Method of Eye Torsion Measurement for Medical Applications. Information. 11(9). 408–408. 6 indexed citations
5.
Mavromatis, Sébastien, et al.. (2020). Kinship verification through facial images using multiscale and multilevel handcrafted features. Journal of Electronic Imaging. 29(2). 1–1.
6.
Mavromatis, Sébastien, et al.. (2019). Novel Method for Brain Tumor Classification Based on Use of Image Entropy and Seven Hu’s Invariant Moments. Traitement du signal. 36(6). 483–491. 17 indexed citations
7.
Séqueira, Jean, et al.. (2019). Deep Features for Kinship Verification from Facial Images. 64–67. 5 indexed citations
8.
Séqueira, Jean, et al.. (2018). Kinship verification using BSIF and LBP. 1–5. 7 indexed citations
9.
Du, Zhenhong, Yuhua Gu, Chuanrong Zhang, et al.. (2017). DBSTC: an effective method for discovering cluster features with different spatiotemporal densities. International Journal of Digital Earth. 1–26. 6 indexed citations
10.
Du, Zhenhong, Yuhua Gu, Chuanrong Zhang, et al.. (2016). ParSymG: a parallel clustering approach for unsupervised classification of remotely sensed imagery. International Journal of Digital Earth. 10(5). 471–489. 9 indexed citations
11.
Thibault, Guillaume, Bernard Fertil, Claire Navarro, et al.. (2013). SHAPE AND TEXTURE INDEXES APPLICATION TO CELL NUCLEI CLASSIFICATION. International Journal of Pattern Recognition and Artificial Intelligence. 27(1). 1357002–1357002. 145 indexed citations
12.
Séqueira, Jean, et al.. (2011). Free-form Specular Surface Inspection with Adapted Coded-Light. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1 indexed citations
13.
Mavromatis, Sébastien, et al.. (2011). A new geometric invariant to match regions within remote sensing images of different modalities. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8180. 818003–818003. 1 indexed citations
14.
Meunier, Jean, et al.. (2010). Intravascular Ultrasound image segmentation: A helical active contour method. 92–97. 6 indexed citations
15.
Thibault, Guillaume, Bernard Fertil, Jean Séqueira, & Jean‐Luc Mari. (2010). Indices de formes et de textures. Application au classement de noyaux de cellules. Ingénierie des systèmes d information. 15(2). 73–96. 4 indexed citations
16.
Thibault, Guillaume, et al.. (2008). Poster: Classification of cell nuclei using shape and texture indexes. International Conference in Central Europe on Computer Graphics and Visualization. 25–28. 1 indexed citations
17.
Meunier, Jean, et al.. (2008). A Robust 3-D IVUS Transducer Tracking Using Single-Plane Cineangiography. IEEE Transactions on Information Technology in Biomedicine. 12(3). 307–314. 4 indexed citations
18.
Mavromatis, Sébastien, et al.. (2008). Earth observation using radar data: an overview of applications and challenges. International Journal of Digital Earth. 1(2). 171–195. 11 indexed citations
19.
Mari, Jean‐Luc, et al.. (2007). Contour Detection of the Cornea from OCT Radial Images. Conference proceedings. 2007. 5612–5615. 7 indexed citations
20.
Séqueira, Jean, et al.. (1993). Three-dimensional modeling of tree-like anatomical structures. Computerized Medical Imaging and Graphics. 17(4-5). 333–337. 10 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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