Charles Gueunet

454 total citations
3 papers, 144 citations indexed

About

Charles Gueunet is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Charles Gueunet has authored 3 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Theory and Mathematics and 2 papers in Signal Processing. Recurrent topics in Charles Gueunet's work include Topological and Geometric Data Analysis (3 papers), Data Management and Algorithms (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Charles Gueunet is often cited by papers focused on Topological and Geometric Data Analysis (3 papers), Data Management and Algorithms (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Charles Gueunet collaborates with scholars based in France, United States and Germany. Charles Gueunet's co-authors include Julien Tierny, Joshua A. Levine, Michael A. Michaux, Julien Jomier, Pierre Fortin, Jonas Lukasczyk, Bernd Hamann, Ross Maciejewski and Heike Leitte and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Parallel and Distributed Systems and Applied Mechanics and Materials.

In The Last Decade

Charles Gueunet

3 papers receiving 143 citations

Peers

Charles Gueunet
Federico Iuricich United States
Donald R. Sheehy United States
Kree Cole-McLaughlin United States
Kenneth Weiss United States
Federico Iuricich United States
Charles Gueunet
Citations per year, relative to Charles Gueunet Charles Gueunet (= 1×) peers Federico Iuricich

Countries citing papers authored by Charles Gueunet

Since Specialization
Citations

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

Fields of papers citing papers by Charles Gueunet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Gueunet

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

All Works

3 of 3 papers shown
1.
Gueunet, Charles, Pierre Fortin, Julien Jomier, & Julien Tierny. (2019). Task-Based Augmented Contour Trees with Fibonacci Heaps. IEEE Transactions on Parallel and Distributed Systems. 30(8). 1889–1905. 16 indexed citations
2.
Lukasczyk, Jonas, Charles Gueunet, Julien Tierny, et al.. (2017). Viscous Fingering: A Topological Visual Analytic Approach. Applied Mechanics and Materials. 869. 9–19. 26 indexed citations
3.
Tierny, Julien, et al.. (2017). The Topology ToolKit. IEEE Transactions on Visualization and Computer Graphics. 24(1). 832–842. 102 indexed citations

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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