Benoît Huet

117 papers receiving 1.3k citations

Hit Papers

Proceedings of the 2016 ACM on Multimedia Conference2016202620192022201650100150200

Peers

Benoît Huet
Comparison fields: 5 of 135
  • Computer Vision and Pattern Recognition 861
  • Artificial Intelligence 332
  • Signal Processing 208
  • Cardiology and Cardiovascular Medicine 86
  • Sociology and Political Science 85
Replace Zhen He with:
Zhen He Australia
Vasileios Megalooikonomou Greece
Swamy Laxminarayan United States
Ognjen Arandjelović United Kingdom
Jyotismita Chaki India
Mohammad Khubeb Siddiqui Australia
Manal Alghamdi Saudi Arabia
Ruogu Fang United States
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Huet

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Huet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Huet

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Huet. A scholar is included among the top collaborators of Benoît Huet 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 Benoît Huet. Benoît Huet 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 0
2 36
3
EURECOM@MediaEval 2017: Media Genre Inference for Predicting Media Interestingness.
7
4
EURECOM at TRECVID 2017: The adhoc video search
1
5 0
6
EURECOM @ SAVA2015: Visual Features for Multimedia Search
1
7 12
8 16
9
LinkedTV at MediaEval 2013 Search and Hyperlinking Task
7
10 3
11
EURECOM @ MediaEval 2011 social event detection task
8
12 91
13
Eurecom at TRECVid 2007: Extraction of High-level Features
1
14 3
15
K-Space at TRECVid 2006
6
16
Gestion des matières premières au Paléolithique moyen dans le Massif armoricain : apport de l'étude des propriétés mécaniques des matériaux
2
17
[Reliability and validity of the French version of the first part of the Appropriateness Evaluation Protocol (AEPf): pertinent criteria of hospitalization stay].
13
18
Graph Matching for Shape Retrieval
7
19 0
20
La enseñanza de la arquitectura en Francia. 1968-1978.
1

About Benoît Huet

Benoît Huet is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 131 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Analysis and Summarization (61 papers), Image Retrieval and Classification Techniques (53 papers) and Advanced Image and Video Retrieval Techniques (49 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (861 citations), Signal Processing (208 citations) and Artificial Intelligence (332 citations). Benoît Huet has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Edwin R. Hancock, Bernard Mérialdo, Xueliang Liu, Marco Paleari, Ioannis Kompatsiaris, Marcel Worring, Aisling Kelliher, Alan Hanjalić, Cees G. M. Snoek and Jin Li. Their work appears in journals such as Journal of Clinical Oncology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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