Annick Montanvert

1.8k total citations
24 papers, 900 citations indexed

About

Annick Montanvert is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Annick Montanvert has authored 24 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Graphics and Computer-Aided Design and 6 papers in Computational Mechanics. Recurrent topics in Annick Montanvert's work include Digital Image Processing Techniques (11 papers), Medical Image Segmentation Techniques (8 papers) and Computer Graphics and Visualization Techniques (6 papers). Annick Montanvert is often cited by papers focused on Digital Image Processing Techniques (11 papers), Medical Image Segmentation Techniques (8 papers) and Computer Graphics and Visualization Techniques (6 papers). Annick Montanvert collaborates with scholars based in France, United States and Netherlands. Annick Montanvert's co-authors include Dominique Attali, Jacques‐Olivier Lachaud, Muhammad Murtaza Khan, Laurent Condat, Jocelyn Chanussot, Jean-Michel Jolion, Peter Meer, David Cœurjolly, Kai Wang and Christian Jutten and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Annick Montanvert

20 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annick Montanvert France 12 702 271 210 169 58 24 900
A. Agarwala United States 7 586 0.8× 127 0.5× 62 0.3× 64 0.4× 85 1.5× 7 755
F. Dibos France 4 1.1k 1.5× 164 0.6× 71 0.3× 180 1.1× 89 1.5× 8 1.3k
José Gabriel R. C. Gomes Brazil 11 401 0.6× 86 0.3× 57 0.3× 87 0.5× 70 1.2× 77 631
Kartic Subr United Kingdom 14 374 0.5× 53 0.2× 245 1.2× 128 0.8× 48 0.8× 45 584
Alex Levinshtein Canada 9 802 1.1× 309 1.1× 55 0.3× 70 0.4× 106 1.8× 16 1.1k
Andrés Romero France 6 594 0.8× 76 0.3× 117 0.6× 94 0.6× 22 0.4× 14 869
Liron Yatziv United States 7 502 0.7× 72 0.3× 78 0.4× 57 0.3× 46 0.8× 9 635
Andreas Lugmayr Switzerland 5 671 1.0× 108 0.4× 117 0.6× 95 0.6× 20 0.3× 6 932
Eduardo S. L. Gastal Brazil 9 1.2k 1.7× 517 1.9× 109 0.5× 60 0.4× 56 1.0× 18 1.4k
Simon Niklaus United States 12 1.8k 2.5× 395 1.5× 339 1.6× 205 1.2× 108 1.9× 16 1.9k

Countries citing papers authored by Annick Montanvert

Since Specialization
Citations

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

Fields of papers citing papers by Annick Montanvert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annick Montanvert

This figure shows the co-authorship network connecting the top 25 collaborators of Annick Montanvert. A scholar is included among the top collaborators of Annick Montanvert 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 Annick Montanvert. Annick Montanvert 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.
Licciardi, Giorgio, Muhammad Murtaza Khan, Jocelyn Chanussot, et al.. (2012). Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction. EURASIP Journal on Advances in Signal Processing. 2012(1). 58 indexed citations
2.
Köthe, Ullrich, Annick Montanvert, & Pierre Soille. (2012). Applications of Discrete Geometry and Mathematical Morphology. Lecture notes in computer science. 4 indexed citations
3.
Wang, Kai, et al.. (2012). A fast roughness-based approach to the assessment of 3D mesh visual quality. Computers & Graphics. 36(7). 808–818. 76 indexed citations
4.
Palenstijn, Willem Jan, et al.. (2010). Projection and backprojection in tomography: design choices and considerations. Data Archiving and Networked Services (DANS). 106–110.
5.
Khan, Muhammad Murtaza, Jocelyn Chanussot, Laurent Condat, & Annick Montanvert. (2008). Indusion: Fusion of Multispectral and Panchromatic Images Using the Induction Scaling Technique. IEEE Geoscience and Remote Sensing Letters. 5(1). 98–102. 188 indexed citations
6.
Cœurjolly, David & Annick Montanvert. (2007). Optimal Separable Algorithms to Compute the Reverse Euclidean Distance Transformation and Discrete Medial Axis in Arbitrary Dimension. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(3). 437–448. 50 indexed citations
7.
Thiel, Édouard & Annick Montanvert. (2003). Chamfer masks: discrete distance functions, geometrical properties and optimization. 244–247. 7 indexed citations
8.
Montanvert, Annick, et al.. (2002). Multiresolution segmentation using the irregular pyramid. 1. 257–260. 15 indexed citations
9.
Montanvert, Annick & Peter Meer. (2002). Irregular tessellation based image analysis. i. 474–479.
10.
Montanvert, Annick, et al.. (2002). Image mosaicking applied to three-dimensional surfaces. 1. 253–257. 10 indexed citations
11.
Lachaud, Jacques‐Olivier & Annick Montanvert. (2002). Digital surfaces as a basis for building isosurfaces. 2. 977–981.
12.
Attali, Dominique & Annick Montanvert. (2002). Modeling noise for a better simplification of skeletons. 3. 13–16. 36 indexed citations
13.
Lachaud, Jacques‐Olivier & Annick Montanvert. (2000). Continuous Analogs of Digital Boundaries: A Topological Approach to Iso-Surfaces. Graphical Models. 62(3). 129–164. 49 indexed citations
14.
Lachaud, Jacques‐Olivier & Annick Montanvert. (1999). Deformable meshes with automated topology changes for coarse-to-fine three-dimensional surface extraction. Medical Image Analysis. 3(2). 187–207. 80 indexed citations
15.
Attali, Dominique & Annick Montanvert. (1997). Computing and Simplifying 2D and 3D Continuous Skeletons. Computer Vision and Image Understanding. 67(3). 261–273. 140 indexed citations
16.
Montanvert, Annick, et al.. (1997). Pyramide résiduelle pour la compression d'images.
17.
Collin, Bertrand, et al.. (1997). Appariement de contours 2D par analyse multirésolution hiérarchique de la déformation. 1291–1294. 1 indexed citations
18.
Miguet, Serge, Annick Montanvert, & Stéphane Ubéda. (1996). Proceedings of the 6th International Workshop on Discrete Geometry for Computer Imagery. 2 indexed citations
19.
Montanvert, Annick, et al.. (1992). Edge detection for biomedical images: A self-adaptive and randomized operator. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 1904–1905. 3 indexed citations
20.
Jolion, Jean-Michel & Annick Montanvert. (1992). The adaptive pyramid: A framework for 2D image analysis. CVGIP Image Understanding. 55(3). 339–348. 66 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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