Aurélie Lemaître

428 citations
21 papers · 116 indexed · h-index 7
Topics
Handwritten Text Recognition Techniques (18 papers)Image Retrieval and Classification Techniques (9 papers)Image Processing and 3D Reconstruction (8 papers)
Partner nations
FranceIndiaChina

In The Last Decade

Aurélie Lemaître

21 papers receiving 108 citations

Peers

Aurélie Lemaître
Comparison fields: 5 of 33
  • Computer Vision and Pattern Recognition 100
  • Media Technology 31
  • Artificial Intelligence 20
  • Human-Computer Interaction 11
  • Industrial and Manufacturing Engineering 7
Replace Zihan Ni with:
Zihan Ni China
Mingxin Huang China
Kibok Lee South Korea
Michael D. Garris United States
Chayan Halder India
Prashant P. Patavardhan India
E. Augustin France
Kaiser J. Giri India
Ron Litman Israel
Myriam Côté Canada
Aurélie Lemaître relative to Zihan Ni China Zihan Ni's profile →
Citations per field
00.5×1.6×
Zihan Ni · 1×
Citations per year

Countries citing papers authored by Aurélie Lemaître

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie Lemaître

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Lemaître

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélie Lemaître. A scholar is included among the top collaborators of Aurélie Lemaître 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 Aurélie Lemaître. Aurélie Lemaître 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 7
2 6
3 1
4
DMOS, It's your turn !
1
5 2
6 9
7 6
8 2
9 3
10 7
11 1
12 1
13 4
14 11
15 6
16 1
17 11
18 5
19 6
20 23

About Aurélie Lemaître

Aurélie Lemaître is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 21 papers that have together received 116 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (18 papers), Image Retrieval and Classification Techniques (9 papers) and Image Processing and 3D Reconstruction (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (100 citations), Media Technology (31 citations) and Human-Computer Interaction (11 citations). Aurélie Lemaître has collaborated with scholars based in France, India and China. Frequent co-authors include Bertrand Coüasnon, Éric Anquetil, B.B. Chaudhuri, Harold Mouchère, Sylvain Fleury, Éric Jamet, Chengcheng Wang, Christian Raymond and Émilie Loup‐Escande. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters and Human-Computer Interaction.

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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