Aline Deruyver

652 total citations
30 papers, 384 citations indexed

About

Aline Deruyver is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Aline Deruyver has authored 30 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Networks and Communications and 8 papers in Artificial Intelligence. Recurrent topics in Aline Deruyver's work include Medical Image Segmentation Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers) and Constraint Satisfaction and Optimization (4 papers). Aline Deruyver is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers) and Constraint Satisfaction and Optimization (4 papers). Aline Deruyver collaborates with scholars based in France, Tunisia and Germany. Aline Deruyver's co-authors include Pierre Parrend, Mohamed Saber Naceur, Yann Hodé, Pierre Collet, Luc Brun, M. Sowińska, Cédric Wemmert, Hartmut K. Lichtenthaler, Gabriele Langsdorf and F. Heisel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Artificial Intelligence.

In The Last Decade

Aline Deruyver

29 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aline Deruyver France 9 161 156 95 80 69 30 384
Nannan Lu China 10 196 1.2× 150 1.0× 67 0.7× 47 0.6× 48 0.7× 44 411
Manjunath R Kounte India 11 95 0.6× 138 0.9× 64 0.7× 119 1.5× 85 1.2× 51 449
Tomi Räty Finland 9 108 0.7× 107 0.7× 63 0.7× 123 1.5× 41 0.6× 41 373
Osamu Saotome Brazil 12 174 1.1× 175 1.1× 73 0.8× 65 0.8× 34 0.5× 83 485
Partha Ghosh India 12 153 1.0× 101 0.6× 73 0.8× 144 1.8× 18 0.3× 42 461
Qiang Hu China 12 268 1.7× 69 0.4× 87 0.9× 113 1.4× 159 2.3× 52 556
Mohammed S. Alshehri Saudi Arabia 14 235 1.5× 257 1.6× 139 1.5× 79 1.0× 75 1.1× 62 594
Muhammad Ahsan Latif Pakistan 8 136 0.8× 150 1.0× 90 0.9× 65 0.8× 108 1.6× 22 416
Paulo Martins Engel Brazil 11 207 1.3× 62 0.4× 55 0.6× 167 2.1× 62 0.9× 52 500

Countries citing papers authored by Aline Deruyver

Since Specialization
Citations

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

Fields of papers citing papers by Aline Deruyver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aline Deruyver

This figure shows the co-authorship network connecting the top 25 collaborators of Aline Deruyver. A scholar is included among the top collaborators of Aline Deruyver 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 Aline Deruyver. Aline Deruyver 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.
Deruyver, Aline, et al.. (2019). Robust Reinforcement Learning for Autonomous Driving. International Conference on Learning Representations. 6 indexed citations
2.
Deruyver, Aline, et al.. (2019). Seeking for Robustness in Reinforcement Learning: Application on Carla Simulator. 4 indexed citations
3.
Deruyver, Aline, et al.. (2019). Reinforcement learning for neural architecture search: A review. Image and Vision Computing. 89. 57–66. 114 indexed citations
4.
Deruyver, Aline, et al.. (2018). OMMA: open architecture for Operator-guided Monitoring of Multi-step Attacks. SHILAP Revista de lepidopterología. 2018(1). 6 indexed citations
5.
Deruyver, Aline, et al.. (2018). A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search. arXiv (Cornell University). 8 indexed citations
6.
Parrend, Pierre, et al.. (2018). For a refoundation of Artificial Immune System research: AIS is a Design Pattern. SPIRE - Sciences Po Institutional REpository. 3. 1122–1129. 2 indexed citations
7.
Parrend, Pierre, et al.. (2016). The Graph Matching Optimization methodology for thin object recognition in pick and place tasks. SPIRE - Sciences Po Institutional REpository. 35. 1–8. 1 indexed citations
8.
Deruyver, Aline, et al.. (2016). Morwilog: an ACO-based system for outlining multi-step attacks. SPIRE - Sciences Po Institutional REpository. 1–8. 10 indexed citations
9.
Deruyver, Aline, et al.. (2013). Template-Based Hierarchical Building Extraction. IEEE Geoscience and Remote Sensing Letters. 11(3). 706–710. 10 indexed citations
10.
Deruyver, Aline, Yann Hodé, & Luc Brun. (2009). Image interpretation with a conceptual graph: Labeling over-segmented images and detection of unexpected objects. Artificial Intelligence. 173(14). 1245–1265. 12 indexed citations
11.
Deruyver, Aline & Yann Hodé. (2008). Qualitative spatial relationships for image interpretation by using a conceptual graph. Image and Vision Computing. 27(7). 876–886. 8 indexed citations
12.
Golański, A., J.P. Stoquert, Fabrice Piazza, et al.. (2003). Hypersonic shock waves and hybridization of a-C:H thin films. Journal of Applied Physics. 93(10). 5911–5919. 4 indexed citations
13.
Deruyver, Aline, et al.. (2003). Watershed and adaptive pyramid for determining the apple's maturity state. Proceedings - International Conference on Image Processing. 1. I–789. 3 indexed citations
14.
Deruyver, Aline & Yann Hodé. (2002). A morphological model for automatic edge detection: comparison with ad-hoc hysteresis thresholding. 2. 530–534. 1 indexed citations
15.
Deruyver, Aline, et al.. (2002). A segmentation technique for cerebral NMR images. 3. 716–720. 1 indexed citations
16.
Deruyver, Aline & Yann Hodé. (2002). Semantic graph and arc consistency in "true" three dimensional image labelling. Proceedings - International Conference on Image Processing. 2. 619–622. 1 indexed citations
17.
Deruyver, Aline & Yann Hodé. (1999). <title>Probabilistic model based on separating bipoints to segment multithresholdable images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3716. 177–184. 1 indexed citations
18.
Sowińska, M., Aline Deruyver, F. Heisel, et al.. (1999). Near-field measurements of vegetation by laser-induced fluorescence imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3868. 120–120. 12 indexed citations
19.
Deruyver, Aline & Yann Hodé. (1997). Constraint satisfaction problem with bilevel constraint: application to interpretation of over-segmented images. Artificial Intelligence. 93(1-2). 321–335. 13 indexed citations
20.
Deruyver, Aline & Yann Hodé. (1996). Automatic multi-thresholdable image segmentation by using separating bipoints. 7. 457–461 vol.2. 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.

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