Annick Montanvert

1.8k citations
24 papers · 900 · h-index 12

Impact in

Papers in

Annick Montanvert

20 papers receiving 838 citations

Peers

Annick Montanvert
Comparison fields: 5 of 77
  • Computer Graphics and Computer-Aided Design 210
  • Computer Vision and Pattern Recognition 702
  • Media Technology 271
  • Computational Mechanics 169
  • Biophysics 22
Replace Xing Mei with:
Xing Mei China
Naejin Kong South Korea
André Gagalowicz France
Eduardo S. L. Gastal Brazil
Manfred Ernst United States
A. Agarwala United States
José Gabriel R. C. Gomes Brazil
Alex Levinshtein Canada
Andrés Romero France
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Citations per field
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Citations per year

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-authors

The 20 scholars most cited alongside Annick Montanvert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Annick Montanvert Line = papers co-authored together Annick Montanvert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008188
2 1997140
3 199192
4 199980
5 201276
6 199266
7 201258
8 200750
9 200049
10 200236
11 200215
12 200212
13 200210
14 200210
15 20037
16 20124
17 19923
18
Proceedings of the 6th International Workshop on Discrete Geometry for Computer Imagery
19962
19
Appariement de contours 2D par analyse multirésolution hiérarchique de la déformation
19971
20 20021

About Annick Montanvert

Annick Montanvert is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Media Technology and Biophysics, having authored 24 papers that have together received 900 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (11 papers), Medical Image Segmentation Techniques (8 papers), Computer Graphics and Visualization Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers), Image and Signal Denoising Methods (4 papers), Advanced Image Fusion Techniques (4 papers) and Computational Geometry and Mesh Generation (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (210 citations), Computer Vision and Pattern Recognition (702 citations), Media Technology (271 citations), Computational Mechanics (169 citations) and Biophysics (22 citations). Annick Montanvert has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Dominique Attali, Jacques‐Olivier Lachaud, Muhammad Murtaza Khan, Laurent Condat, Jocelyn Chanussot, Jean-Michel Jolion, Peter Meer, Kai Wang, David Cœurjolly and Christian Jutten. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Graphical Models, IEEE Geoscience and Remote Sensing Letters, Medical Image Analysis and Computers & Graphics.

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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