Laure Tougne

1.4k citations
47 papers · 552 indexed · h-index 13
Topics
Digital Image Processing Techniques (17 papers)Medical Image Segmentation Techniques (12 papers)Remote Sensing and LiDAR Applications (6 papers)
Partner nations
FranceCanadaArgentina

In The Last Decade

Laure Tougne

43 papers receiving 532 citations

Peers

Laure Tougne
Comparison fields: 5 of 81
  • Plant Science 222
  • Computer Vision and Pattern Recognition 198
  • Ecology 106
  • Analytical Chemistry 80
  • Environmental Engineering 61
Replace Dengfeng Chai with:
Dengfeng Chai China
Loïc Landrieu France
Didier Coquin France
Guangjun Zhang China
Weirong Chen China
Pablo G. Rodríguez Spain
Gang Zhang China
Giancarlo Troni United States
Genping Zhao China
Liying Zheng China
Laure Tougne relative to Dengfeng Chai China Dengfeng Chai's profile →
Citations per field
00.5×
Dengfeng Chai · 1×
Citations per year

Countries citing papers authored by Laure Tougne

Since Specialization
Citations

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

Fields of papers citing papers by Laure Tougne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laure Tougne

This figure shows the co-authorship network connecting the top 25 collaborators of Laure Tougne. A scholar is included among the top collaborators of Laure Tougne 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 Laure Tougne. Laure Tougne 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
#WorkIndexed citations
1 0
2 1
3 14
4 8
5 2
6 3
7 13
8 66
9 38
10 62
11 7
12 24
13 54
14 2
15 9
16 1
17 16
18 1
19 3
20 9

About Laure Tougne

Laure Tougne is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 47 papers that have together received 552 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (17 papers), Medical Image Segmentation Techniques (12 papers) and Remote Sensing and LiDAR Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Analytical Chemistry (80 citations) and Space and Planetary Science (9 citations). Laure Tougne has collaborated with scholars based in France, Canada and Argentina. Frequent co-authors include Guillaume Cerutti, Antoine Vacavant, Carlos Crispim-Junior, Julien Mille, Didier Coquin, Isabelle Sivignon, D Clément, David Rousseau, David Cœurjolly and Hervé Piégay. Their work appears in journals such as IEEE Transactions on Image Processing, Sensors and Pattern Recognition.

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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