Citations per year, relative to Arnaud Bergeron Arnaud Bergeron (= 1×)
peers
Mathias Berglund
Countries citing papers authored by Arnaud Bergeron
Since
Specialization
Citations
This map shows the geographic impact of Arnaud Bergeron'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 Arnaud Bergeron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnaud Bergeron more than expected).
This network shows the impact of papers produced by Arnaud Bergeron. 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 Arnaud Bergeron. The network helps show where Arnaud Bergeron may publish in the future.
Co-authorship network of co-authors of Arnaud Bergeron
This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Bergeron.
A scholar is included among the top collaborators of Arnaud Bergeron 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 Arnaud Bergeron. Arnaud Bergeron is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bergstra, James, Frédéric Bastien, Olivier Breuleux, et al.. (2012). Theano: Deep Learning on GPUs with Python.125 indexed citations
3.
Bengio, Yoshua, Frédéric Bastien, Arnaud Bergeron, et al.. (2011). Deep Learners Benefit More from Out-of-Distribution Examples. 164–172.52 indexed citations
4.
Bastien, Frédéric, Arnaud Bergeron, Pascal Vincent, & Yoshua Bengio. (2011). A Common GPU n-Dimensional Array for Python and C.1 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.