Nicolas Boutry

782 total citations
14 papers, 43 citations indexed

About

Nicolas Boutry is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Nicolas Boutry has authored 14 papers receiving a total of 43 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Theory and Mathematics and 2 papers in Mathematical Physics. Recurrent topics in Nicolas Boutry's work include Digital Image Processing Techniques (7 papers), Medical Image Segmentation Techniques (6 papers) and Topological and Geometric Data Analysis (5 papers). Nicolas Boutry is often cited by papers focused on Digital Image Processing Techniques (7 papers), Medical Image Segmentation Techniques (6 papers) and Topological and Geometric Data Analysis (5 papers). Nicolas Boutry collaborates with scholars based in France and Spain. Nicolas Boutry's co-authors include Lê Duy Huỳnh, Thierry Géraud, Laurent Najman, Rocı́o González-Dı́az, María-José Jiménez, Élodie Puybareau, Jonathan Fabrizio, Gilles Bertrand and Pierre Parrend and has published in prestigious journals such as Information Sciences, Pattern Recognition Letters and Computer Vision and Image Understanding.

In The Last Decade

Nicolas Boutry

10 papers receiving 42 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicolas Boutry France	4	27	11	10	5	5	14	43
Pengcheng He China	3	36 1.3×	6 0.5×	4 0.4×		8 1.6×	4	43
Jean-François Rajotte Canada	3	11 0.4×	2 0.2×	16 1.6×	3 0.6×	32 6.4×	6	77
Jorge Corral Acero United Kingdom	3	9 0.3×	3 0.3×	23 2.3×	1 0.2×	7 1.4×	5	50
Simon Bartels Denmark	2	9 0.3×	7 0.6×	4 0.4×	1 0.2×	24 4.8×	4	48
Y. G. Wu China	3	15 0.6×	2 0.2×	3 0.3×		10 2.0×	4	31
Emiel Hoogeboom Netherlands	4	18 0.7×	3 0.3×	2 0.2×		15 3.0×	7	31
Winston Wang United States	3	7 0.3×	14 1.3×	4 0.4×		34 6.8×	7	58
Yuefei Wang China	4	34 1.3×	2 0.2×	6 0.6×	1 0.2×	22 4.4×	11	45
Jayashree Kalpathy-Cramer United States	4	10 0.4×		15 1.5×	3 0.6×	15 3.0×	10	41
Sen Zha China	2	29 1.1×		8 0.8×	2 0.4×	15 3.0×	2	44

Countries citing papers authored by Nicolas Boutry

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Boutry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Boutry

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

All Works

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14 of 14 papers shown

Boutry, Nicolas, et al.. (2024). Graph-Based Spectral Analysis for Detecting Cyber Attacks. SPIRE - Sciences Po Institutional REpository. 1–14.

Boutry, Nicolas, et al.. (2024). Unsupervised discovery of interpretable visual concepts. Information Sciences. 661. 120159–120159. 1 indexed citations

Boutry, Nicolas, et al.. (2024). Transforming gradient-based techniques into interpretable methods. Pattern Recognition Letters. 184. 66–73. 3 indexed citations

Bertrand, Gilles, Nicolas Boutry, & Laurent Najman. (2023). Discrete Morse Functions and Watersheds. Journal of Mathematical Imaging and Vision. 65(5). 787–801.

Boutry, Nicolas, Laurent Najman, & Thierry Géraud. (2022). Some Equivalence Relation between Persistent Homology and Morphological Dynamics. Journal of Mathematical Imaging and Vision. 64(7). 807–824. 2 indexed citations

Puybareau, Élodie, et al.. (2021). Do not Treat Boundaries and Regions Differently: An Example on Heart Left Atrial Segmentation. SPIRE - Sciences Po Institutional REpository. 7447–7453. 3 indexed citations

Boutry, Nicolas, Laurent Najman, & Thierry Géraud. (2020). Topological Properties of the First Non-Local Digitally Well-Composed Interpolation on n-D Cubical Grids. Journal of Mathematical Imaging and Vision. 62(9). 1256–1284.

Boutry, Nicolas, Laurent Najman, & Thierry Géraud. (2020). Equivalence between Digital Well-Composedness and Well-Composedness in the Sense of Alexandrov on n-D Cubical Grids. Journal of Mathematical Imaging and Vision. 62(9). 1285–1333.

Boutry, Nicolas, et al.. (2020). A minimum barrier distance for multivariate images with applications. Computer Vision and Image Understanding. 197-198. 102993–102993. 1 indexed citations

10.

Huỳnh, Lê Duy & Nicolas Boutry. (2020). A U-Net++ With Pre-Trained EfficientNet Backbone for Segmentation of Diseases and Artifacts in Endoscopy Images and Videos.. 13–17. 13 indexed citations

11.

Huỳnh, Lê Duy, Nicolas Boutry, & Thierry Géraud. (2019). Connected filters on generalized shape-Spaces. Pattern Recognition Letters. 128. 348–354. 3 indexed citations

12.

Boutry, Nicolas, Thierry Géraud, & Laurent Najman. (2019). How to Make n-D Plain Maps Defined on Discrete Surfaces Alexandrov-Well-Composed in a Self-Dual Way. Journal of Mathematical Imaging and Vision. 61(6). 849–873. 1 indexed citations

13.

Boutry, Nicolas, Rocı́o González-Dı́az, & María-José Jiménez. (2018). Weakly well-composed cell complexes over nD pictures. Information Sciences. 499. 62–83. 5 indexed citations

14.

Boutry, Nicolas, Thierry Géraud, & Laurent Najman. (2017). A Tutorial on Well-Composedness. Journal of Mathematical Imaging and Vision. 60(3). 443–478. 11 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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