Guillaume Heusch

11 papers receiving 215 citations

Peers

Guillaume Heusch
Comparison fields: 5 of 43
  • Computer Vision and Pattern Recognition 195
  • Signal Processing 61
  • Media Technology 29
  • Cardiology and Cardiovascular Medicine 21
  • Artificial Intelligence 15
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Countries citing papers authored by Guillaume Heusch

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Heusch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Heusch

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Heusch. A scholar is included among the top collaborators of Guillaume Heusch 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 Guillaume Heusch. Guillaume Heusch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 15
3 10
4
On the Recent Use of Local Binary Patterns for Face Authentication
44
5
Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes
0
6 114
7
Local Binary Patterns as an Image Preprocessing for Face Authentication.
1
8
Efficient Diffusion-based Illumination Normalization for Face Verification
3
9
Lighting Normalization Algorithms for Face Verification
34
10
Acetylcholine, but not adenosine, triggers cardiac preconditioning by causing release of free radicals and opening of mitochondrial KATP channels
1
11 15
12
Evidence against the adenosine-catecholamine antagonism in the canine heart in situ.
6

About Guillaume Heusch

Guillaume Heusch is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Pharmacy, having authored 12 papers that have together received 245 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Face recognition and analysis (6 papers) and Biometric Identification and Security (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (195 citations), Signal Processing (61 citations) and Media Technology (29 citations). Guillaume Heusch has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Sébastien Marcel, Y. Rodriguez, Yann Rodriguez, Fabien Cardinaux, V. Thämer, Tiago de Freitas Pereira, Kieron Messer, Shiguang Shan, James M. Downey and Wen Gao. Their work appears in journals such as Cardiovascular Research, Image and Vision Computing and IEEE Transactions on Biometrics Behavior and Identity Science.

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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