Lennaert van Veen

941 total citations
32 papers, 581 citations indexed

About

Lennaert van Veen is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Lennaert van Veen has authored 32 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 13 papers in Statistical and Nonlinear Physics and 8 papers in Computer Networks and Communications. Recurrent topics in Lennaert van Veen's work include Fluid Dynamics and Turbulent Flows (11 papers), Nonlinear Dynamics and Pattern Formation (8 papers) and Neural dynamics and brain function (6 papers). Lennaert van Veen is often cited by papers focused on Fluid Dynamics and Turbulent Flows (11 papers), Nonlinear Dynamics and Pattern Formation (8 papers) and Neural dynamics and brain function (6 papers). Lennaert van Veen collaborates with scholars based in Canada, Japan and Australia. Lennaert van Veen's co-authors include Genta KAWAHARA, Markus Uhlmann, David T. J. Liley, Yuri A. Kuznetsov, Hil G. E. Meijer, Theo Opsteegh, Ferdinand Verhulst, G. Quispel, Federico Frascoli and Ingo Bojak and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Fluid Mechanics.

In The Last Decade

Lennaert van Veen

31 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lennaert van Veen Canada 13 278 174 169 155 69 32 581
M. Gorman United States 20 498 1.8× 87 0.5× 242 1.4× 411 2.7× 56 0.8× 34 871
William F. Langford Canada 17 190 0.7× 70 0.4× 481 2.8× 508 3.3× 20 0.3× 34 1.0k
José A. Cañizo Spain 12 59 0.2× 22 0.1× 209 1.2× 192 1.2× 16 0.2× 42 750
Jean Maquet France 14 61 0.2× 33 0.2× 348 2.1× 268 1.7× 13 0.2× 29 651
Tyrus Berry United States 12 53 0.2× 97 0.6× 173 1.0× 26 0.2× 105 1.5× 25 455
Denis S. Goldobin Russia 17 106 0.4× 102 0.6× 558 3.3× 628 4.1× 53 0.8× 81 1.0k
Cătălin Trenchea United States 19 595 2.1× 24 0.1× 108 0.6× 72 0.5× 41 0.6× 51 886
Eric Perlman United States 8 462 1.7× 101 0.6× 111 0.7× 44 0.3× 70 1.0× 14 752
Silke Siegert Germany 6 33 0.1× 92 0.5× 230 1.4× 67 0.4× 42 0.6× 7 536
Alexander Ezersky Russia 12 219 0.8× 16 0.1× 76 0.4× 175 1.1× 34 0.5× 42 429

Countries citing papers authored by Lennaert van Veen

Since Specialization
Citations

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

Fields of papers citing papers by Lennaert van Veen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lennaert van Veen. 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 Lennaert van Veen. The network helps show where Lennaert van Veen may publish in the future.

Co-authorship network of co-authors of Lennaert van Veen

This figure shows the co-authorship network connecting the top 25 collaborators of Lennaert van Veen. A scholar is included among the top collaborators of Lennaert van Veen 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 Lennaert van Veen. Lennaert van Veen 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.
Veen, Lennaert van, et al.. (2023). Screening for Impaired Glucose Homeostasis: A Novel Metric of Glycemic Control. SHILAP Revista de lepidopterología. 1(2). 189–200. 2 indexed citations
2.
Veen, Lennaert van, et al.. (2022). A parsimonious model of blood glucose homeostasis. SHILAP Revista de lepidopterología. 1(7). e0000072–e0000072. 4 indexed citations
3.
Veen, Lennaert van, et al.. (2020). Homeostasis as a proportional–integral control system. npj Digital Medicine. 3(1). 77–77. 4 indexed citations
4.
Berg, Jan Bouwe van den, et al.. (2019). Spontaneous periodic orbits in the Navier-Stokes flow. arXiv (Cornell University). 16 indexed citations
5.
KAWAHARA, Genta, et al.. (2019). The onset of transient turbulence in minimal plane Couette flow. Journal of Fluid Mechanics. 862. 18 indexed citations
6.
Veen, Lennaert van, Alberto Vela-Martín, & Genta KAWAHARA. (2019). Time-Periodic Inertial Range Dynamics. Physical Review Letters. 123(13). 134502–134502. 8 indexed citations
7.
KAWAHARA, Genta, et al.. (2019). A vortex interaction mechanism for generating energy and enstrophy fluctuations in high-symmetric turbulence. Journal of Fluid Mechanics. 874. 639–676. 6 indexed citations
8.
Veen, Lennaert van & Susumu Goto. (2016). Sub critical transition to turbulence in three-dimensional Kolmogorov flow. Fluid Dynamics Research. 48(6). 61425–61425. 6 indexed citations
9.
Aruliah, D. A., et al.. (2016). Algorithm 956. ACM Transactions on Mathematical Software. 42(1). 1–18. 5 indexed citations
10.
Veen, Lennaert van. (2016). On Green’s function-based time stepping for semilinear initial–boundary value problems. Journal of Computational and Applied Mathematics. 308. 46–58.
11.
Aruliah, D. A., et al.. (2012). A parallel adaptive method for pseudo-arclength continuation. Journal of Physics Conference Series. 385. 12008–12008. 3 indexed citations
12.
Veen, Lennaert van & Genta KAWAHARA. (2011). Homoclinic Tangle on the Edge of Shear Turbulence. Physical Review Letters. 107(11). 114501–114501. 36 indexed citations
13.
Frascoli, Federico, Lennaert van Veen, Ingo Bojak, & David T. J. Liley. (2011). Metabifurcation analysis of a mean field model of the cortex. Physica D Nonlinear Phenomena. 240(11). 949–962. 17 indexed citations
14.
KAWAHARA, Genta, Markus Uhlmann, & Lennaert van Veen. (2011). The Significance of Simple Invariant Solutions in Turbulent Flows. Annual Review of Fluid Mechanics. 44(1). 203–225. 207 indexed citations
15.
Quispel, G., et al.. (2010). An integrating factor matrix method to find first integrals. Journal of Physics A Mathematical and Theoretical. 43(22). 225207–225207. 5 indexed citations
16.
Frascoli, Federico, Lennaert van Veen, Ingo Bojak, Mathew P. Dafilis, & David T. J. Liley. (2009). A survey of dynamical complexity in a mean-field nonlinear model of human EEG. BMC Neuroscience. 10(S1). 2 indexed citations
17.
Veen, Lennaert van, Shigeo Kida, & Genta KAWAHARA. (2007). PERIODIC MOTION VERSUS TURBULENT MOTION: SCALING LAWS, BURSTING AND LYAPUNOV SPECTRA. 187–201. 1 indexed citations
18.
Veen, Lennaert van & David T. J. Liley. (2006). Chaos via Shilnikov’s Saddle-Node Bifurcation in a Theory of the Electroencephalogram. Physical Review Letters. 97(20). 208101–208101. 31 indexed citations
19.
Kuznetsov, Yuri A., Hil G. E. Meijer, & Lennaert van Veen. (2004). THE FOLD-FLIP BIFURCATION. International Journal of Bifurcation and Chaos. 14(7). 2253–2282. 57 indexed citations
20.
Veen, Lennaert van. (2003). Baroclinic Flow and the Lorenz-84 Model. International Journal of Bifurcation and Chaos. 13(8). 2117–2139. 36 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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