Guénaël Cabanès

778 citations
37 papers · 464 indexed · h-index 11
Topics
Advanced Clustering Algorithms Research (14 papers)Data Management and Algorithms (6 papers)Complex Network Analysis Techniques (5 papers)
Partner nations
FranceAustraliaSpain

In The Last Decade

Guénaël Cabanès

37 papers receiving 443 citations

Peers

Guénaël Cabanès
Comparison fields: 5 of 112
  • Artificial Intelligence 122
  • Oral Surgery 81
  • Ecology, Evolution, Behavior and Systematics 80
  • Genetics 74
  • Computer Vision and Pattern Recognition 50
Replace Abhilasha Sharma with:
Abhilasha Sharma India
Boulbaba Ben Amor France
Augusto Salazar Colombia
Steve Maddock United Kingdom
Karl Ricanek United States
Byoung‐Ju Yun South Korea
Yibing Liu China
Eng-Jon Ong United Kingdom
Ronaldo Martins da Costa Brazil
Xiaolin Ma China
Guénaël Cabanès relative to Abhilasha Sharma India Abhilasha Sharma's profile →
Citations per field
00.5×11.6×
Abhilasha Sharma · 1×
Citations per year

Countries citing papers authored by Guénaël Cabanès

Since Specialization
Citations

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

Fields of papers citing papers by Guénaël Cabanès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guénaël Cabanès

This figure shows the co-authorship network connecting the top 25 collaborators of Guénaël Cabanès. A scholar is included among the top collaborators of Guénaël Cabanès 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 Guénaël Cabanès. Guénaël Cabanès 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 4
3 2
4 2
5 1
6 5
7 9
8 1
9 9
10 28
11 4
12 5
13 15
14 12
15 8
16 71
17 3
18 4
19 15
20 26

About Guénaël Cabanès

Guénaël Cabanès is a scholar working on Developmental Biology, Signal Processing and Artificial Intelligence, having authored 37 papers that have together received 464 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (14 papers), Data Management and Algorithms (6 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Oral Surgery (81 citations), Developmental Biology (15 citations) and Orthodontics (26 citations). Guénaël Cabanès has collaborated with scholars based in France, Australia and Spain. Frequent co-authors include Younès Bennani, Gaïd Le Maner‐Idrissi, Stéphanie Barbu, Eduardo Anitua, Nistor Grozavu, Basarab Mateï, Vanina Vergoz, Benjamin P. Oldroyd, Jérémie Sublime and Julianne Lim. Their work appears in journals such as PLoS ONE, Current Biology and Molecular Biology and Evolution.

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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