Aurélien Ducournau

522 total citations
8 papers, 350 citations indexed

About

Aurélien Ducournau is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Aurélien Ducournau has authored 8 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Aurélien Ducournau's work include Image and Signal Denoising Methods (2 papers), Advanced Image Processing Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). Aurélien Ducournau is often cited by papers focused on Image and Signal Denoising Methods (2 papers), Advanced Image Processing Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). Aurélien Ducournau collaborates with scholars based in France and United Kingdom. Aurélien Ducournau's co-authors include Ronan Fablet, François Rousseau, Chi-Hieu Pham, Alain Bretto, Bernard Laget, Grégoire Mercier and Atta Badii and has published in prestigious journals such as Pattern Recognition, Computer Vision and Image Understanding and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Aurélien Ducournau

8 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aurélien Ducournau France 7 213 84 60 53 29 8 350
Chengcai Leng China 14 303 1.4× 96 1.1× 83 1.4× 91 1.7× 27 0.9× 62 574
Meng Chang China 5 347 1.6× 150 1.8× 42 0.7× 42 0.8× 15 0.5× 12 495
Qi Mao China 11 516 2.4× 67 0.8× 33 0.6× 133 2.5× 50 1.7× 23 701
Christine Graffigne France 6 273 1.3× 76 0.9× 26 0.4× 101 1.9× 6 0.2× 15 431
Sheng Xu China 8 194 0.9× 43 0.5× 20 0.3× 70 1.3× 8 0.3× 30 304
Hyun-Ho Choi South Korea 10 422 2.0× 225 2.7× 34 0.6× 58 1.1× 28 1.0× 23 576
Jean Cousty France 12 445 2.1× 71 0.8× 97 1.6× 54 1.0× 5 0.2× 33 631
Meer United States 4 261 1.2× 66 0.8× 11 0.2× 81 1.5× 16 0.6× 4 373

Countries citing papers authored by Aurélien Ducournau

Since Specialization
Citations

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

Fields of papers citing papers by Aurélien Ducournau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélien Ducournau

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

All Works

8 of 8 papers shown
1.
Pham, Chi-Hieu, Aurélien Ducournau, Ronan Fablet, & François Rousseau. (2017). Brain MRI super-resolution using deep 3D convolutional networks. HAL (Le Centre pour la Communication Scientifique Directe). 197–200. 147 indexed citations
2.
Ducournau, Aurélien, et al.. (2016). Convolutional Neural Networks for object recognition on mobile devices: A case study. 3530–3535. 34 indexed citations
3.
4.
Badii, Atta, et al.. (2013). Holistic Privacy Impact Assessment Framework for Video Privacy Filtering Technologies. Signal & Image Processing An International Journal. 4(6). 13–32. 7 indexed citations
5.
Ducournau, Aurélien & Alain Bretto. (2013). Random walks in directed hypergraphs and application to semi-supervised image segmentation. Computer Vision and Image Understanding. 120. 91–102. 37 indexed citations
6.
Ducournau, Aurélien, et al.. (2012). A reductive approach to hypergraph clustering: An application to image segmentation. Pattern Recognition. 45(7). 2788–2803. 35 indexed citations
7.
Ducournau, Aurélien, et al.. (2010). Hypergraph coarsening for image superpixelization. 1–4. 1 indexed citations
8.
Ducournau, Aurélien, et al.. (2009). A multilevel spectral hypergraph partitioning approach for color image segmentation. 419–424. 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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