Stephan A. van Gils

2.5k total citations
78 papers, 1.6k citations indexed

About

Stephan A. van Gils is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Stephan A. van Gils has authored 78 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 23 papers in Statistical and Nonlinear Physics and 20 papers in Cognitive Neuroscience. Recurrent topics in Stephan A. van Gils's work include Nonlinear Dynamics and Pattern Formation (22 papers), Neural dynamics and brain function (18 papers) and Physics of Superconductivity and Magnetism (10 papers). Stephan A. van Gils is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (22 papers), Neural dynamics and brain function (18 papers) and Physics of Superconductivity and Magnetism (10 papers). Stephan A. van Gils collaborates with scholars based in Netherlands, United States and United Kingdom. Stephan A. van Gils's 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 Asep K. Supriatna and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Stephan A. van Gils

76 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephan A. van Gils Netherlands 23 427 393 261 233 224 78 1.6k
Hil G. E. Meijer Netherlands 18 400 0.9× 410 1.0× 302 1.2× 237 1.0× 73 0.3× 66 1.3k
Martin Krupa United States 26 1.4k 3.3× 1.3k 3.2× 358 1.4× 140 0.6× 100 0.4× 66 2.4k
Jacques Bélair Canada 27 802 1.9× 854 2.2× 294 1.1× 56 0.2× 132 0.6× 53 2.2k
Uwe an der Heiden Germany 17 281 0.7× 331 0.8× 258 1.0× 73 0.3× 52 0.2× 35 1.0k
Fatihcan M. Atay Germany 23 1.0k 2.4× 1.5k 3.8× 681 2.6× 146 0.6× 266 1.2× 75 2.3k
William C. Troy United States 29 1.1k 2.6× 1.1k 2.8× 671 2.6× 163 0.7× 280 1.3× 98 2.8k
Sue Ann Campbell Canada 28 1.1k 2.6× 1.5k 3.7× 492 1.9× 101 0.4× 484 2.2× 74 2.7k
Mathieu Desroches France 22 1.1k 2.6× 971 2.5× 496 1.9× 148 0.6× 39 0.2× 74 1.7k
Hiroshi Kokubu Japan 23 570 1.3× 385 1.0× 27 0.1× 76 0.3× 62 0.3× 66 1.4k
Jr-Shin Li United States 23 338 0.8× 455 1.2× 283 1.1× 153 0.7× 249 1.1× 109 1.8k

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
1.
Gils, Stephan A. van, et al.. (2024). Hopf Bifurcations of Two Population Neural Fields on the Sphere with Diffusion and Distributed Delays. SIAM Journal on Applied Dynamical Systems. 23(3). 1909–1945. 1 indexed citations
2.
Kuznetsov, Yuri A., et al.. (2020). Neural field models with transmission delays and diffusion. SHILAP Revista de lepidopterología. 10(1). 21–21. 9 indexed citations
3.
Huiskamp, Geertjan, et al.. (2018). A Comparison of Evoked and Non-evoked Functional Networks. Brain Topography. 32(3). 405–417. 23 indexed citations
4.
Steenbergen, Wiendelt, et al.. (2018). A framework for directional and higher-order reconstruction in photoacoustic tomography. Physics in Medicine and Biology. 63(4). 45018–45018. 14 indexed citations
5.
Zeune, Leonie L., Guus van Dalum, Charles Decraene, et al.. (2017). Quantifying HER-2 expression on circulating tumor cells by ACCEPT. PLoS ONE. 12(10). e0186562–e0186562. 32 indexed citations
6.
Eissa, Tahra L., Christoph Brüne, Ronald G. Emerson, et al.. (2017). Cross-scale effects of neural interactions during human neocortical seizure activity. Proceedings of the National Academy of Sciences. 114(40). 10761–10766. 31 indexed citations
7.
Vegt, J.J.W. van der, et al.. (2017). A Space-Time Finite Element Method for Neural Field Equations with Transmission Delays. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 6 indexed citations
8.
Schwab, Bettina C., Richard van Wezel, & Stephan A. van Gils. (2016). Sparse pallidal connections shape synchrony in a network model of the basal ganglia. European Journal of Neuroscience. 45(8). 1000–1012. 8 indexed citations
9.
Hofmeijer, Jeannette, et al.. (2016). A Biophysical Model for Cytotoxic Cell Swelling. Journal of Neuroscience. 36(47). 11881–11890. 49 indexed citations
10.
Yang, Huan, Hil G. E. Meijer, Robert J. Doll, Jan R. Buitenweg, & Stephan A. van Gils. (2015). Computational modeling of Adelta-fiber-mediated nociceptive detection of electrocutaneous stimulation. Biological Cybernetics. 109(4-5). 479–491. 6 indexed citations
11.
Meijer, Hil G. E., Tahra L. Eissa, Catherine A. Schevon, et al.. (2015). Modeling Focal Epileptic Activity in the Wilson–Cowan Model with Depolarization Block. PubMed. 5(1). 7–7. 36 indexed citations
12.
Gils, Stephan A. van, et al.. (2014). Lumping Izhikevich neurons. SHILAP Revista de lepidopterología. 2(1). 9 indexed citations
13.
Schwab, Bettina C., Hil G. E. Meijer, Richard van Wezel, & Stephan A. van Gils. (2014). Gap junctions as modulators of synchrony in Parkinson's disease. University of Twente Research Information. 1 indexed citations
14.
Lourens, M.A.J., Jasmine A. Nirody, Hil G. E. Meijer, Tjitske Heida, & Stephan A. van Gils. (2011). The effect of spike time dependent plasticity on activity patterns in the basal ganglia. BMC Neuroscience. 12(S1). 4 indexed citations
15.
Gils, Stephan A. van, Martin Krupa, & Peter Szmolyan. (2005). Asymptotic expansions using blow-up. Zeitschrift für angewandte Mathematik und Physik. 56(3). 369–397. 23 indexed citations
16.
Susanto, H. & Stephan A. van Gils. (2004). Semifluxons with a hump in a 0–π Josephson junction. Physica C Superconductivity. 408-410. 579–580. 3 indexed citations
17.
Susanto, H., et al.. (2003). Static semifluxons in a long Josephson junction withπ-discontinuity points. Physical review. B, Condensed matter. 68(10). 27 indexed citations
18.
Gils, Stephan A. van, et al.. (2003). Geometrical approach to stationary waves in a shallow grating. Optical and Quantum Electronics. 35(10). 947–958. 1 indexed citations
19.
Wilschut, A.N. & Stephan A. van Gils. (1993). A Model for Pipelined Query Execution. University of Twente Research Information. 225–232. 5 indexed citations
20.
Vanderbauwhede, André & Stephan A. van Gils. (1987). Center manifolds and contractions on a scale of Banach spaces. Journal of Functional Analysis. 72(2). 209–224. 124 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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