Cédric Penet

409 citations
6 papers · 186 indexed · h-index 5
Topics
Human Pose and Action Recognition (3 papers)Music and Audio Processing (3 papers)Video Analysis and Summarization (3 papers)
Journals
IEEE Transactions on Biomedical EngineeringMultimedia Tools and ApplicationsHAL (Le Centre pour la Communication Scientifique Directe)
Partner nations
GermanyFrancePoland

In The Last Decade

Cédric Penet

5 papers receiving 177 citations

Peers

Cédric Penet
Comparison fields: 5 of 39
  • Computer Vision and Pattern Recognition 122
  • Artificial Intelligence 88
  • Biomedical Engineering 47
  • Surgery 46
  • Signal Processing 23
Replace Ryo Hachiuma with:
Ryo Hachiuma Japan
Daochang Liu China
Marco Piccirilli United States
Amir Jamaludin United Kingdom
Paritosh Parmar United States
Will Price United Kingdom
Jonathan Munro United Kingdom
Lasse Hansen Germany
George Vavoulas Greece
Weilin Zang China
Cédric Penet relative to Ryo Hachiuma Japan Ryo Hachiuma's profile →
Citations per field
00.5×10×15×20×
Ryo Hachiuma · 1×
Citations per year

Countries citing papers authored by Cédric Penet

Since Specialization
Citations

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

Fields of papers citing papers by Cédric Penet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cédric Penet

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 79
2 53
3 4
4 27
5
De la détection d'évènements sonores violents par SVM dans les films
0
6
The MediaEval 2011 Affect Task: Violent Scenes Detection in Hollywood Movies
23

About Cédric Penet

Cédric Penet is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 6 papers that have together received 186 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Music and Audio Processing (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (122 citations), Health Informatics (8 citations) and Human-Computer Interaction (16 citations). Cédric Penet has collaborated with scholars based in Germany, France and Poland. Frequent co-authors include Claire-Hélène Demarty, Mohammad Soleymani, Guillaume Gravier, Germain Forestier, David Bouget, Nabil Zemiti, Pierre Jannin, Philippe Poignet, Guillaume Gravier and Yu–Gang Jiang. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Multimedia Tools and Applications and HAL (Le Centre pour la Communication Scientifique Directe).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026