Oriane Siméoni

470 citations
9 papers · 120 indexed · h-index 5
Topics
Advanced Image and Video Retrieval Techniques (4 papers)Visual Attention and Saliency Detection (2 papers)Multimodal Machine Learning Applications (2 papers)
Partner nations
FranceCzechiaJapan

In The Last Decade

Oriane Siméoni

9 papers receiving 113 citations

Peers

Oriane Siméoni
Comparison fields: 5 of 32
  • Computer Vision and Pattern Recognition 85
  • Artificial Intelligence 30
  • Aerospace Engineering 13
  • Molecular Biology 12
  • Signal Processing 5
Replace Qibing Qin with:
Qibing Qin China
Max Vladymyrov United States
Sam Hallman United States
Sungil Kang South Korea
Devin Guillory United States
Harkirat Behl United Kingdom
Nikita Dvornik Canada
Tsung-Wei Ke United States
Jean-Pierre Cocquerez France
Nicolas Loeff United States
Oriane Siméoni relative to Qibing Qin China Qibing Qin's profile →
Citations per field
00.5×9.5×
Qibing Qin · 1×
Citations per year

Countries citing papers authored by Oriane Siméoni

Since Specialization
Citations

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

Fields of papers citing papers by Oriane Siméoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oriane Siméoni

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 2
3 1
4 10
5 5
6 33
7
Local Features and Visual Words Emerge in Activations
49
8 4
9 15

About Oriane Siméoni

Oriane Siméoni is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Environmental Engineering, having authored 9 papers that have together received 120 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Visual Attention and Saliency Detection (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (85 citations), Artificial Intelligence (30 citations) and Instrumentation (3 citations). Oriane Siméoni has collaborated with scholars based in France, Czechia and Japan. Frequent co-authors include Yannis Avrithis, Ondřej Chum, Patrick Pérez, Gilles Puy, Éloi Zablocki, Masaru Tomita, Vincent Piras, Kumar Selvarajoo, Andrei Bursuc and Spyros Gidaris. Their work appears in journals such as Gene, International Journal of Computer Vision and Machine Vision and Applications.

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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