Yves van Gennip

600 citations
26 papers · 320 indexed · h-index 10

Yves van Gennip

25 papers receiving 298 citations

Peers

Yves van Gennip
Comparison fields: 5 of 76
  • Statistical and Nonlinear Physics 77
  • Computer Vision and Pattern Recognition 117
  • Computational Theory and Mathematics 79
  • Media Technology 40
  • Computational Mechanics 65
Replace Arjuna Flenner with:
Arjuna Flenner United States
D.P. Playne New Zealand
Dong Xia Hong Kong
Jean Vaillancourt Canada
Andreas Eberle Germany
Alex Gittens United States
Ambedkar Dukkipati India
Xue Chen China
M.‐O. Hongler Switzerland
Chu Wang China
Yves van Gennip relative to Arjuna Flenner United States Arjuna Flenner's profile →
Citations per field
00.5×1.6×
Arjuna Flenner · 1×
Citations per year

Countries citing papers authored by Yves van Gennip

Since Specialization
Citations

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

Fields of papers citing papers by Yves van Gennip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yves van Gennip, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yves van Gennip Line = papers co-authored together Yves van Gennip links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20242
3 20231
4 202216
5 20201
6 20192
7 20191
8 20184
9 20189
10 20176
11 201713
12 20171
13
Using evolving interface techniques to solve network problems
20171
14
A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes
201426
15 201444
16 201357
17 201015
18 200913
19
Some studies on the deformation of the membrane in an RF MEMS switch
20084
20 200822

About Yves van Gennip

Yves van Gennip is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 320 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (6 papers), Medical Image Segmentation Techniques (4 papers), Complex Network Analysis Techniques (4 papers), Advanced Numerical Methods in Computational Mathematics (2 papers), Algorithms and Data Compression (2 papers), QR Code Applications and Technologies (2 papers), Model Reduction and Neural Networks (2 papers) and Nonlinear Partial Differential Equations (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (77 citations), Computer Vision and Pattern Recognition (117 citations) and Computational Theory and Mathematics (79 citations). Yves van Gennip has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Andrea L. Bertozzi, Rustum Choksi, Mark A. Peletier, Adam M. Oberman, Braxton Osting, Matthew Thorpe, James C. Wo, Peter Elliott, P. Jeffrey Brantingham and Shannon E. Reid. Their work appears in journals such as SIAM Journal on Applied Mathematics, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and Preventive Veterinary Medicine.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026