Éric Bruno

516 citations
44 papers · 415 · h-index 10

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 22
    • Video Analysis and Summarization 21
    • Image Retrieval and Classification Techniques 19
    • Face and Expression Recognition 6
    • Data Management and Algorithms 6
    • Music and Audio Processing 5

Éric Bruno

44 papers receiving 395 citations

Peers

Éric Bruno
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 256
  • Ecological Modeling 36
  • Signal Processing 64
  • Nature and Landscape Conservation 54
  • Artificial Intelligence 119
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Citations per field
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Citations per year

Countries citing papers authored by Éric Bruno

Since Specialization
Citations

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

Fields of papers citing papers by Éric Bruno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Éric Bruno, 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 Éric Bruno Line = papers co-authored together Éric Bruno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200971
2 201270
3 200849
4 200624
5 200919
6
The IM2 Multimodal Meeting Browser Family
200516
7 200813
8 200612
9 200811
10
Information-Theoretic Framework for The Joint Temporal Partionning and Representation of Video Data
200310
11 20079
12 20099
13
Collection Guiding: A new framework for handling large multimedia collections
20059
14 20118
15 20137
16 20047
17 20046
18 20046
19 20135
20
Nonlinear Temporal Modeling for Motion-based Video Overviewing
20035

About Éric Bruno

Éric Bruno is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems and Ecological Modeling, having authored 44 papers that have together received 415 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (22 papers), Video Analysis and Summarization (21 papers), Image Retrieval and Classification Techniques (19 papers), Data Management and Algorithms (6 papers), Face and Expression Recognition (6 papers), Neural Networks and Applications (5 papers), Music and Audio Processing (5 papers) and Advanced Clustering Algorithms Research (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (256 citations), Ecological Modeling (36 citations), Signal Processing (64 citations), Nature and Landscape Conservation (54 citations) and Artificial Intelligence (119 citations). Éric Bruno has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Stéphane Marchand‐Maillet, Jana Kludas, Donn Morrison, Jean‐Luc Dupouey, Jean‐Marc Moisselin, Gian‐Reto Walther, Vincent Badeau, Thierry Pun, Craig T. Johnson and M. Paz Galupo. Their work appears in journals such as Multimedia Tools and Applications, Pattern Analysis and Applications, Lecture notes in computer science, Academic Emergency Medicine and Journal of Vegetation 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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