Stephan A. van Gils

2.5k citations
78 papers · 1.6k indexed · h-index 23
Topics
Nonlinear Dynamics and Pattern Formation (22 papers)Neural dynamics and brain function (18 papers)Physics of Superconductivity and Magnetism (10 papers)

In The Last Decade

Stephan A. van Gils

76 papers receiving 1.5k citations

Peers

Stephan A. van Gils
Comparison fields: 5 of 126
  • Statistical and Nonlinear Physics 427
  • Computer Networks and Communications 393
  • Cognitive Neuroscience 261
  • Cellular and Molecular Neuroscience 233
  • Control and Systems Engineering 224
Replace Jacques Bélair with:
Jacques Bélair Canada
Martin Krupa United States
Hil G. E. Meijer Netherlands
Uwe an der Heiden Germany
Sue Ann Campbell Canada
Hiroshi Kokubu Japan
Timotéo Carletti Belgium
William C. Troy United States
Qishao Lu China
Fatihcan M. Atay Germany
Stephan A. van Gils relative to Jacques Bélair Canada Jacques Bélair's profile →
Citations per field
00.5×4.2×
Jacques Bélair · 1×
Citations per year

Countries citing papers authored by Stephan A. van Gils

Since Specialization
Citations

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

Fields of papers citing papers by Stephan A. van Gils

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephan A. van Gils. 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 Stephan A. van Gils. The network helps show where Stephan A. van Gils may publish in the future.

Co-authorship network of co-authors of Stephan A. van Gils

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan A. van Gils. A scholar is included among the top collaborators of Stephan A. van Gils 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 Stephan A. van Gils. Stephan A. van Gils 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 9
3 23
4 14
5
A Space-Time Finite Element Method for Neural Field Equations with Transmission Delays
6
6 31
7 32
8 2
9 2
10 1
11 6
12 25
13 9
14 17
15 5
16 12
17 25
18 1
19
A Model for Pipelined Query Execution
5
20 124

About Stephan A. van Gils

Stephan A. van Gils is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology and Cognitive Neuroscience, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (22 papers), Neural dynamics and brain function (18 papers) and Physics of Superconductivity and Magnetism (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (427 citations), Numerical Analysis (172 citations) and Modeling and Simulation (118 citations). Stephan A. van Gils has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Odo Diekmann, Sjoerd M. Verduyn Lunel, Hanns-Otto Walther, André Vanderbauwhede, Hil G. E. Meijer, Martin Krupa, H. Susanto, Michel J. A. M. van Putten, William F. Langford and Edy Soewono. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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