Johan Debayle

1.9k total citations
82 papers, 996 citations indexed

About

Johan Debayle is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry and Media Technology. According to data from OpenAlex, Johan Debayle has authored 82 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 14 papers in Materials Chemistry and 12 papers in Media Technology. Recurrent topics in Johan Debayle's work include Medical Image Segmentation Techniques (21 papers), Image Retrieval and Classification Techniques (14 papers) and Advancements in Solid Oxide Fuel Cells (8 papers). Johan Debayle is often cited by papers focused on Medical Image Segmentation Techniques (21 papers), Image Retrieval and Classification Techniques (14 papers) and Advancements in Solid Oxide Fuel Cells (8 papers). Johan Debayle collaborates with scholars based in France, Indonesia and Morocco. Johan Debayle's co-authors include Jean‐Charles Pinoli, Zelang Miao, Wenzhong Shi, Jérôme Laurencin, Yann Gavet, Hamza Moussaoui, Jérémie Pourchez, Bertrand Ruot, P. Grosseau and G. Delette and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Cement and Concrete Research.

In The Last Decade

Johan Debayle

78 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan Debayle France 18 280 213 211 197 192 82 996
Min Yang China 18 236 0.8× 383 1.8× 124 0.6× 115 0.6× 143 0.7× 102 1.3k
Zhaoying Liu China 17 297 1.1× 80 0.4× 186 0.9× 110 0.6× 77 0.4× 80 968
Ying Yu China 16 292 1.0× 41 0.2× 119 0.6× 73 0.4× 57 0.3× 89 968
Xuyang Li China 13 169 0.6× 44 0.2× 232 1.1× 206 1.0× 51 0.3× 33 1.0k
Kaiqiang Chen China 17 362 1.3× 146 0.7× 276 1.3× 64 0.3× 170 0.9× 61 857
Jian Cheng China 19 661 2.4× 68 0.3× 292 1.4× 57 0.3× 86 0.4× 104 1.2k
Chaofeng Wang China 15 215 0.8× 123 0.6× 89 0.4× 33 0.2× 47 0.2× 51 807
Yiming Liu China 18 88 0.3× 98 0.5× 58 0.3× 73 0.4× 56 0.3× 59 963
Su Wang China 17 63 0.2× 143 0.7× 66 0.3× 58 0.3× 42 0.2× 70 775

Countries citing papers authored by Johan Debayle

Since Specialization
Citations

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

Fields of papers citing papers by Johan Debayle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Debayle

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Debayle. A scholar is included among the top collaborators of Johan Debayle 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 Johan Debayle. Johan Debayle 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.
2.
Coufort‐Saudejaud, Carole, et al.. (2025). Workflow based on GANs and CNNs towards a digital twin for the 3D morphological characterization of latex aggregates. Powder Technology. 465. 121286–121286. 1 indexed citations
3.
Coufort‐Saudejaud, Carole, et al.. (2024). A stochastic 3D model based on random graphs to characterize the morphology of compact aggregates using image analysis. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations
4.
Coufort‐Saudejaud, Carole, et al.. (2024). Deep Learning-Based Instance Segmentation to Characterize the Morphology of Compact Aggregates through Image Analysis. SPIRE - Sciences Po Institutional REpository. abs/1706.08500. 1–7. 1 indexed citations
5.
Setiawan, Noor Akhmad, et al.. (2024). Enhancing EEG-Based Emotion Recognition Using Asymmetric Windowing Recurrence Plots. IEEE Access. 12. 85969–85982. 3 indexed citations
6.
Debayle, Johan, et al.. (2023). Morphological characterization of aggregates and agglomerates by image analysis: A systematic literature review. Powder Technology. 430. 119033–119033. 18 indexed citations
7.
Nugroho, Hanung Adi, et al.. (2023). A systematic literature review of emotion recognition using EEG signals. Cognitive Systems Research. 82. 101152–101152. 34 indexed citations
8.
Debayle, Johan, et al.. (2023). Granulometric Analysis of Maltodextrin Particles Observed by Scanning Electron Microscopy. SPIRE - Sciences Po Institutional REpository. 1–7. 2 indexed citations
9.
Coufort‐Saudejaud, Carole, et al.. (2023). Morphological characterization of compact aggregates using image analysis and a geometrical stochastic 3D model. HAL (Le Centre pour la Communication Scientifique Directe). 1–7. 4 indexed citations
10.
Rziza, Mohammed, et al.. (2022). A New LBP Variant: Corner Rhombus Shape LBP (CRSLBP). Journal of Imaging. 8(7). 200–200. 6 indexed citations
11.
Debayle, Johan, et al.. (2021). On the Properties of Some Adaptive Morphological Filters for Salt and Pepper Noise Removal. Image Analysis & Stereology. 40(1). 29–38. 2 indexed citations
12.
Moussaoui, Hamza, Johan Debayle, Yann Gavet, Peter Cloetens, & Jérôme Laurencin. (2020). Particle-based model for functional and diffusion layers of solid oxide cells electrodes. Powder Technology. 367. 67–81. 18 indexed citations
13.
Gavet, Yann & Johan Debayle. (2019). Image Processing Tutorials with Python ®. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
14.
Moussaoui, Hamza, Jérôme Laurencin, Maxime Hubert, et al.. (2019). Stochastic Geometrical and Microstructural Modeling for Solid Oxide Cell Electrodes. ECS Transactions. 91(1). 2031–2043. 5 indexed citations
15.
Moussaoui, Hamza, Jérôme Laurencin, Yann Gavet, et al.. (2017). Stochastic geometrical modeling of solid oxide cells electrodes validated on 3D reconstructions. Computational Materials Science. 143. 262–276. 65 indexed citations
16.
Lamadie, Fabrice, et al.. (2016). A multiscale method for shape recognition of overlapping elliptical particles. 692–697. 1 indexed citations
17.
Debayle, Johan & Benoît Presles. (2016). Rigid image registration by General Adaptive Neighborhood matching. Pattern Recognition. 55. 45–57. 18 indexed citations
18.
Pinoli, Jean‐Charles, et al.. (2015). Geometrical stochastic modeling and characterization of 2-D crystal population. Image Analysis & Stereology. 2 indexed citations
19.
Avril, Stéphane, et al.. (2012). Patient-specific numerical model of soft tissues in the compressed leg: application to six subjects. Computer Methods in Biomechanics & Biomedical Engineering. 15(sup1). 44–45. 2 indexed citations
20.
Debayle, Johan, et al.. (2011). A geometric-based method for recognizing overlapping polygonal-shaped and semi-transparent particles in gray tone images. Pattern Recognition Letters. 32(15). 2068–2079. 13 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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