Countries citing papers authored by Michaël Aupetit
Since
Specialization
Citations
This map shows the geographic impact of Michaël Aupetit'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 Michaël Aupetit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Aupetit more than expected).
This network shows the impact of papers produced by Michaël Aupetit. 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 Michaël Aupetit. The network helps show where Michaël Aupetit may publish in the future.
Co-authorship network of co-authors of Michaël Aupetit
This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Aupetit.
A scholar is included among the top collaborators of Michaël Aupetit 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 Michaël Aupetit. Michaël Aupetit is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Peltonen, Jaakko, et al.. (2020). Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction. Trepo - Institutional Repository of Tampere University. 33. 13214–13225.3 indexed citations
Aupetit, Michaël, et al.. (2015). Exploratory digraph navigation using A. HAL (Le Centre pour la Communication Scientifique Directe). 1624–1630.1 indexed citations
12.
Verleysen, Michel, et al.. (2010). Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 71–80.39 indexed citations
13.
Lespinats, Sylvain & Michaël Aupetit. (2010). Mapping without visualizing local default is nonsense. The European Symposium on Artificial Neural Networks.1 indexed citations
Aupetit, Michaël. (2006). Visualizing the trustworthiness of a projection.. The European Symposium on Artificial Neural Networks. 271–276.5 indexed citations
16.
Aupetit, Michaël. (2005). Learning Topology with the Generative Gaussian Graph and the EM Algorithm. Neural Information Processing Systems. 18. 83–90.15 indexed citations
Aupetit, Michaël. (2003). Robust Topology Representing Networks.. The European Symposium on Artificial Neural Networks. 45–50.4 indexed citations
19.
Aupetit, Michaël. (2000). Function Approximation with Continuous Self-Organizing Maps Using Neighboring Influence Interpolation.3 indexed citations
20.
Aupetit, Michaël, et al.. (1999). C-SOM: A Continuous Self-Organizing Map for Function Approximation.2 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.