Rozenn Dahyot

2.1k citations
73 papers · 1.2k indexed · h-index 17
Topics
Advanced Vision and Imaging (21 papers)Video Analysis and Summarization (11 papers)Advanced Image and Video Retrieval Techniques (11 papers)

In The Last Decade

Rozenn Dahyot

70 papers receiving 1.2k citations

Peers

Rozenn Dahyot
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 979
  • Media Technology 179
  • Signal Processing 124
  • Atomic and Molecular Physics, and Optics 117
  • Computer Graphics and Computer-Aided Design 106
Replace Michal Haindl with:
Michal Haindl Czechia
M. Petrou United Kingdom
Salvatore Tabbone France
Jun Sun China
Liangbin Xie China
T. Randen Norway
Vito Roberto Italy
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Rozenn Dahyot relative to Michal Haindl Czechia Michal Haindl's profile →
Citations per field
00.5×7.5×
Michal Haindl · 1×
Citations per year

Countries citing papers authored by Rozenn Dahyot

Since Specialization
Citations

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

Fields of papers citing papers by Rozenn Dahyot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rozenn Dahyot

This figure shows the co-authorship network connecting the top 25 collaborators of Rozenn Dahyot. A scholar is included among the top collaborators of Rozenn Dahyot 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 Rozenn Dahyot. Rozenn Dahyot 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 1
2 6
3 1
4 17
5 11
6
Using WGAN for Improving Imbalanced Classification Performance.
6
7
Harmonic Networks for Image Classification.
6
8
Automatic Discovery and Geotagging of Objects from Street View Imagery
65
9 5
10 6
11
Hand Hygiene Poses Recognition with RGB-D Videos
2
12 2
13
Extrinsic camera parameters estimation for shape-from-depths
4
14 45
15 253
16 53
17 219
18 4
19 17
20 19

About Rozenn Dahyot

Rozenn Dahyot is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (21 papers), Video Analysis and Summarization (11 papers) and Advanced Image and Video Retrieval Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (979 citations), Computer Graphics and Computer-Aided Design (106 citations) and Media Technology (179 citations). Rozenn Dahyot has collaborated with scholars based in Ireland, France and United Kingdom. Frequent co-authors include Anil Kokaram, François Pitié, Vladimir A. Krylov, Donghoon Kim, Fabrice Heitz, Pierre Charbonnier, Gerard Lacey, Eitan Grinspun, A. Murat Tekalp and N. Rea. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Graphics.

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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