Bart Sautois

982 citations
12 papers · 680 indexed · 1 hit paper · h-index 8
Topics
Neural dynamics and brain function (7 papers)Nonlinear Dynamics and Pattern Formation (5 papers)Neurobiology and Insect Physiology Research (4 papers)

In The Last Decade

Bart Sautois

12 papers receiving 662 citations

Hit Papers

New features of the software MatContfor bifurcation analy...20082026201420202008100200300

Peers

Bart Sautois
Comparison fields: 5 of 100
  • Statistical and Nonlinear Physics 177
  • Computer Networks and Communications 166
  • Cognitive Neuroscience 152
  • Cellular and Molecular Neuroscience 142
  • Cell Biology 98
Replace Benjamin M. Friedrich with:
Benjamin M. Friedrich Germany
Yael Katz United States
Eshel Ben Jacob Israel
Luis Diambra Argentina
Frédérique Clément France
Francis Corson France
Jonathan Bell United States
Pietro-Luciano Buono Canada
Ernesto M. Nicola Germany
Koichiro Uriu Japan
Bart Sautois relative to Benjamin M. Friedrich Germany Benjamin M. Friedrich's profile →
Citations per field
00.5×4.6×
Benjamin M. Friedrich · 1×
Citations per year

Countries citing papers authored by Bart Sautois

Since Specialization
Citations

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

Fields of papers citing papers by Bart Sautois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bart Sautois

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 6
2
New features of the software MatContfor bifurcation analysis of dynamical systemsbreakdown →
391
3 70
4 41
5 37
6 4
7 36
8 39
9 42
10 8
11
MatCont: Matlab Software for Bifurcation Study of Dynamical Systems
1
12 5

About Bart Sautois

Bart Sautois is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 12 papers that have together received 680 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Nonlinear Dynamics and Pattern Formation (5 papers) and Neurobiology and Insect Physiology Research (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (177 citations), Cognitive Neuroscience (152 citations) and Cellular and Molecular Neuroscience (142 citations). Bart Sautois has collaborated with scholars based in Belgium, United Kingdom and Netherlands. Frequent co-authors include W. Govaerts, Yuri A. Kuznetsov, Hil G. E. Meijer, Annick Dhooge, Wenchang Li, Stephen R. Soffe, Alan Roberts and Roman Borisyuk. Their work appears in journals such as Journal of Neuroscience, Neural Computation and Physica D Nonlinear Phenomena.

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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