Lennaert van Veen
- Computational Mechanics top 5%
- Global and Planetary Change top 10%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Atmospheric Science
- Co-authors
- Genta KAWAHARAMarkus UhlmannDavid T. J. LileyHil G. E. MeijerYuri A. KuznetsovFerdinand VerhulstTheo OpsteeghG. Quispel
- Topics
- Fluid Dynamics and Turbulent Flows (11 papers)Nonlinear Dynamics and Pattern Formation (8 papers)Neural dynamics and brain function (6 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaJournal of Fluid Mechanics
In The Last Decade
Lennaert van Veen
31 papers receiving 556 citations
Peers
Comparison fields: 5 of 70
- Computational Mechanics 278
- Global and Planetary Change 174
- Statistical and Nonlinear Physics 169
- Computer Networks and Communications 155
- Atmospheric Science 69
Countries citing papers authored by Lennaert van Veen
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 16 | |
| 5 | 18 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 36 | |
| 12 | 17 | |
| 13 | 207 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 31 | |
| 18 | 5 | |
| 19 | 57 | |
| 20 | 36 |
About Lennaert van Veen
Lennaert van Veen is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Numerical Analysis, having authored 32 papers that have together received 581 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (11 papers), Nonlinear Dynamics and Pattern Formation (8 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (169 citations), Computational Mechanics (278 citations) and Global and Planetary Change (174 citations). Lennaert van Veen has collaborated with scholars based in Canada, Japan and Australia. Frequent co-authors include Genta KAWAHARA, Markus Uhlmann, David T. J. Liley, Hil G. E. Meijer, Yuri A. Kuznetsov, Ferdinand Verhulst, Theo Opsteegh, G. Quispel, Ingo Bojak and Federico Frascoli. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Fluid Mechanics.
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.