Maël Guillemot

1.4k citations
8 papers · 263 indexed · h-index 6
Topics
Video Analysis and Summarization (5 papers)Speech and dialogue systems (3 papers)Music and Audio Processing (3 papers)
Journals
Infoscience (Ecole Polytechnique Fédérale de Lausanne)University of Twente Research Information
Partner nations
SwitzerlandPortugal

In The Last Decade

Maël Guillemot

8 papers receiving 226 citations

Peers

Maël Guillemot
Comparison fields: 5 of 34
  • Artificial Intelligence 173
  • Signal Processing 113
  • Computer Vision and Pattern Recognition 61
  • Experimental and Cognitive Psychology 34
  • Social Psychology 20
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Citations per year

Countries citing papers authored by Maël Guillemot

Since Specialization
Citations

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

Fields of papers citing papers by Maël Guillemot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maël Guillemot

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1
Processing and Linking Audio Events in Large Multimedia Archives: The EU inEvent Project
7
2
AMIDA/Klewel Mini-Project
1
3
The IM2 Multimodal Meeting Browser Family
10
4
The AMI meeting corpus
209
5
Video Shot Clustering using Spectral Methods
20
6
A Hierarchical Keyframe User Interface for Browsing Video over the Internet
6
7
On Spectral Methods and the Structuring of Home Videos
7
8
Algorithms for Video Structuring
3

About Maël Guillemot

Maël Guillemot is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 8 papers that have together received 263 indexed citations. Recurring topics across this work include Video Analysis and Summarization (5 papers), Speech and dialogue systems (3 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Signal Processing (113 citations), Artificial Intelligence (173 citations) and Computer Vision and Pattern Recognition (61 citations). Maël Guillemot has collaborated with scholars based in Switzerland and Portugal. Frequent co-authors include Pierre Wellner, Dennis Reidsma, Vasilis Karaiskos, Wessel Kraaij, Mike Lincoln, Mathew Flynn, Jaroslav Kadlec, Daniel Gática-Pérez, Iain McCowan and Jean Carletta. Their work appears in journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne) and University of Twente Research Information.

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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