Maxime Bérar

894 citations
20 papers · 558 · h-index 9

Impact in

Papers in

Maxime Bérar

17 papers receiving 528 citations

Peers

Maxime Bérar
Comparison fields: 5 of 73
  • Cognitive Neuroscience 285
  • Computational Mathematics 7
  • Signal Processing 112
  • Oral Surgery 59
  • Human-Computer Interaction 49
Replace Won-Du Chang with:
Won-Du Chang South Korea
D. Cristinacce United Kingdom
Arman Savran Türkiye
M.B. Stegmann Denmark
Bahador Makkiabadi Iran
Xiaozhou Wei United States
Lijun Yin United States
Sobhan Sheykhivand Iran
Guillem Cucurull Spain
Maxime Bérar relative to Won-Du Chang South Korea Won-Du Chang's profile →
Citations per field
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Won-Du Chang · 1×
Citations per year

Countries citing papers authored by Maxime Bérar

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Bérar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Maxime Bérar, 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 Maxime Bérar Line = papers co-authored together Maxime Bérar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2016287
2 200964
3 200363
4 200631
5 201130
6 200524
7 202312
8 20049
9 20198
10 20187
11 20127
12 20226
13 20243
14 20053
15
Towards a generic talking head
20032
16 20251
17 20141
18 20060
19 20250
20 20240

About Maxime Bérar

Maxime Bérar is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology, Artificial Intelligence, Signal Processing and Media Technology, having authored 20 papers that have together received 558 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (5 papers), Image Retrieval and Classification Techniques (5 papers), Medical Image Segmentation Techniques (4 papers), Face and Expression Recognition (3 papers), Dental Radiography and Imaging (3 papers), Remote-Sensing Image Classification (3 papers), Image Processing and 3D Reconstruction (3 papers) and Forensic Anthropology and Bioarchaeology Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (285 citations), Computational Mathematics (7 citations), Signal Processing (112 citations), Oral Surgery (59 citations) and Human-Computer Interaction (49 citations). Maxime Bérar has collaborated with scholars based in France and Tunisia. Frequent co-authors include Florian Yger, Fabien Lotte, Gérard Bailly, Yohan Payan, Michel Desvignes, Frédéric Elisei, Françoise Tilotta, Yves Rozenholc, Joan Glaunès and Frédéric Richard. Their work appears in journals such as Forensic Science International, Neurocomputing, Remote Sensing, Knowledge-Based Systems and International Journal of Speech Technology.

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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