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 Tjitske Heida 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephan A. van Gils 427 393 261 233 224 78 1.6k
Hil G. E. Meijer 400 0.9× 410 1.0× 302 1.2× 237 1.0× 73 0.3× 66 1.3k
Martin Krupa 1.4k 3.3× 1.3k 3.2× 358 1.4× 140 0.6× 100 0.4× 66 2.4k
Jacques Bélair 802 1.9× 854 2.2× 294 1.1× 56 0.2× 132 0.6× 53 2.2k
Uwe an der Heiden 281 0.7× 331 0.8× 258 1.0× 73 0.3× 52 0.2× 35 1.0k
William C. Troy 1.1k 2.6× 1.1k 2.8× 671 2.6× 163 0.7× 280 1.3× 98 2.8k
Fatihcan M. Atay 1.0k 2.4× 1.5k 3.8× 681 2.6× 146 0.6× 266 1.2× 75 2.3k
Sue Ann Campbell 1.1k 2.6× 1.5k 3.7× 492 1.9× 101 0.4× 484 2.2× 74 2.7k
Mathieu Desroches 1.1k 2.6× 971 2.5× 496 1.9× 148 0.6× 39 0.2× 74 1.7k
Hiroshi Kokubu 570 1.3× 385 1.0× 27 0.1× 76 0.3× 62 0.3× 66 1.4k
Jr-Shin Li 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.
Huiskamp, Geertjan, et al.. (2018). A Comparison of Evoked and Non-evoked Functional Networks. Brain Topography. 32(3). 405–417. 23 indexed citations
3.
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
4.
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
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.
Yang, Huan, Hil G. E. Meijer, Jan R. Buitenweg, & Stephan A. van Gils. (2016). Estimation and Identifiability of Model Parameters in Human Nociceptive Processing Using Yes-No Detection Responses to Electrocutaneous Stimulation. Frontiers in Psychology. 7. 1884–1884. 2 indexed citations
8.
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
9.
Lourens, M.A.J., Bettina C. Schwab, Jasmine A. Nirody, Hil G. E. Meijer, & Stephan A. van Gils. (2015). Exploiting pallidal plasticity for stimulation in Parkinson’s disease. Journal of Neural Engineering. 12(2). 26005–26005. 25 indexed citations
10.
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
11.
Gils, Stephan A. van, et al.. (2014). Lumping Izhikevich neurons. SHILAP Revista de lepidopterología. 2(1). 9 indexed citations
12.
Schwab, Bettina C., Tjitske Heida, Yan Zhao, Stephan A. van Gils, & Richard van Wezel. (2014). Pallidal gap junctions‐triggers of synchrony in Parkinson's disease?. Movement Disorders. 29(12). 1486–1494. 17 indexed citations
13.
14.
Cagnan, Hayriye, Hil G. E. Meijer, Stephan A. van Gils, et al.. (2009). Frequency‐selectivity of a thalamocortical relay neuron during Parkinson’s disease and deep brain stimulation: a computational study. European Journal of Neuroscience. 30(7). 1306–1317. 25 indexed citations
15.
Supriatna, Asep K., Edy Soewono, & Stephan A. van Gils. (2008). A two-age-classes dengue transmission model. Mathematical Biosciences. 216(1). 114–121. 52 indexed citations
16.
Diekmann, Odo, et al.. (2005). On circulant populations. I. The algebra of semelparity. Linear Algebra and its Applications. 398. 185–243. 24 indexed citations
17.
Koopman, Hubertus F.J.M., et al.. (2004). Bifurcation and stability analysis in musculoskeletal systems: a study in human stance. Biological Cybernetics. 91(1). 48–62. 20 indexed citations
18.
Wilschut, A.N. & Stephan A. van Gils. (1993). A Model for Pipelined Query Execution. University of Twente Research Information. 225–232. 5 indexed citations
19.
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
20.
Diekmann, Odo & Stephan A. van Gils. (1984). Invariant manifolds for Volterra integral equations of convolution type. Journal of Differential Equations. 54(2). 139–180. 27 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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