Wim Vanroose

1.3k total citations
59 papers, 814 citations indexed

About

Wim Vanroose is a scholar working on Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Wim Vanroose has authored 59 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atomic and Molecular Physics, and Optics, 16 papers in Computational Theory and Mathematics and 15 papers in Computational Mechanics. Recurrent topics in Wim Vanroose's work include Atomic and Molecular Physics (13 papers), Laser-Matter Interactions and Applications (10 papers) and Advanced Chemical Physics Studies (10 papers). Wim Vanroose is often cited by papers focused on Atomic and Molecular Physics (13 papers), Laser-Matter Interactions and Applications (10 papers) and Advanced Chemical Physics Studies (10 papers). Wim Vanroose collaborates with scholars based in Belgium, United States and Spain. Wim Vanroose's co-authors include Pieter Ghysels, T. N. Rescigno, Fernando Martı́n, C. William McCurdy, J. Broeckhove, D. A. Horner, C. W. McCurdy, Dirk Roose, Thomas J. Ashby and Karl Meerbergen and has published in prestigious journals such as Science, Physical Review Letters and Journal of Computational Physics.

In The Last Decade

Wim Vanroose

55 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wim Vanroose Belgium 16 481 162 158 130 95 59 814
Eric Aubanel Canada 16 454 0.9× 33 0.2× 50 0.3× 193 1.5× 93 1.0× 47 802
Olivier Coulaud France 15 162 0.3× 36 0.2× 161 1.0× 46 0.4× 62 0.7× 35 599
Martin J. Mohlenkamp United States 10 185 0.4× 254 1.6× 178 1.1× 57 0.4× 24 0.3× 19 783
Venera Khoromskaia Germany 13 207 0.4× 258 1.6× 94 0.6× 110 0.8× 48 0.5× 31 546
Jeffrey Yepez United States 18 362 0.8× 84 0.5× 319 2.0× 24 0.2× 11 0.1× 57 906
Diederik R. Fokkema Netherlands 8 428 0.9× 582 3.6× 276 1.7× 16 0.1× 23 0.2× 9 966
A. Yu. Yeremin Russia 12 477 1.0× 533 3.3× 302 1.9× 21 0.2× 21 0.2× 25 715
Jan L. Cieśliński Poland 14 104 0.2× 77 0.5× 63 0.4× 45 0.3× 14 0.1× 58 637
Noël M. Nachtigal United States 8 477 1.0× 781 4.8× 363 2.3× 21 0.2× 30 0.3× 10 1.2k
L. Rosier France 15 243 0.5× 33 0.2× 33 0.2× 47 0.4× 18 0.2× 52 812

Countries citing papers authored by Wim Vanroose

Since Specialization
Citations

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

Fields of papers citing papers by Wim Vanroose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wim Vanroose. 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 Wim Vanroose. The network helps show where Wim Vanroose may publish in the future.

Co-authorship network of co-authors of Wim Vanroose

This figure shows the co-authorship network connecting the top 25 collaborators of Wim Vanroose. A scholar is included among the top collaborators of Wim Vanroose 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 Wim Vanroose. Wim Vanroose 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.
Cornelis, J., et al.. (2020). Projected Newton method for noise constrained Tikhonov regularization. Inverse Problems. 36(5). 55002–55002. 1 indexed citations
2.
Haber, Tom, et al.. (2017). Fast derivatives of likelihood functionals for ODE based models using adjoint-state method. Computational Statistics. 32(4). 1621–1643. 3 indexed citations
3.
Ghysels, Pieter, et al.. (2015). A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems. Journal of Computational and Applied Mathematics. 283. 1–16. 2 indexed citations
4.
Ghysels, Pieter, Thomas J. Ashby, Karl Meerbergen, & Wim Vanroose. (2013). Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines. SIAM Journal on Scientific Computing. 35(1). C48–C71. 72 indexed citations
5.
Broeckhove, J., et al.. (2012). Numerical bifurcation analysis of the pattern formation in a cell based auxin transport model. Journal of Mathematical Biology. 67(5). 1279–1305. 11 indexed citations
6.
Vos, Dirk De, Shweta Kalve, Els Prinsen, et al.. (2012). Towards mechanistic models of plant organ growth. Journal of Experimental Botany. 63(9). 3325–3337. 26 indexed citations
7.
Vanroose, Wim, et al.. (2012). Numerical Extraction of a Macroscopic PDE and a Lifting Operator from a Lattice Boltzmann Model. Multiscale Modeling and Simulation. 10(3). 766–791. 2 indexed citations
8.
Vanroose, Wim, et al.. (2012). An optimal linear solver for the Jacobian system of the extreme type-II Ginzburg–Landau problem. Journal of Computational Physics. 234. 560–572. 1 indexed citations
9.
Vanroose, Wim, et al.. (2011). . arXiv (Cornell University). 1 indexed citations
10.
Vanroose, Wim, et al.. (2009). On the indefinite Helmholtz equation: exterior complex scaled absorbing boundary layers, iterative analysis, and preconditioning. arXiv (Cornell University). 1 indexed citations
11.
Broeckhove, J., et al.. (2009). Applying numerical continuation to the parameter dependence of solutions of the Schrödinger equation. Journal of Computational and Applied Mathematics. 234(4). 1238–1248. 3 indexed citations
12.
Horner, D. A., Wim Vanroose, T. N. Rescigno, Fernando Martı́n, & C. William McCurdy. (2007). Role of Nuclear Motion in Double Ionization of Molecular Hydrogen by a Single Photon. Physical Review Letters. 98(7). 73001–73001. 34 indexed citations
13.
Vanroose, Wim, D. A. Horner, Fernando Martı́n, T. N. Rescigno, & C. W. McCurdy. (2006). Double photoionization of aligned molecular hydrogen. Physical Review A. 74(5). 72 indexed citations
14.
Martı́n, Fernando, D. A. Horner, Wim Vanroose, T. N. Rescigno, & C. William McCurdy. (2005). First Principles Calculations of the Double Photoionization of Atoms and Molecules using B-splines and Exterior Complex Scaling. Lawrence Berkeley National Laboratory. 1 indexed citations
15.
Vanroose, Wim, et al.. (2005). Initialization of a Lattice Boltzmann Model with Constrained Runs (Extended Version). BMC Biology. 19(1). 130–130. 3 indexed citations
16.
Vanroose, Wim. (2004). Threshold Vibrational Excitation of CO2 by Slow Electrons. APS. 35. 1 indexed citations
17.
Vanroose, Wim, Zhiyong Zhang, C. William McCurdy, & T. N. Rescigno. (2004). Threshold Vibrational Excitation ofCO2by Slow Electrons. Physical Review Letters. 92(5). 53201–53201. 27 indexed citations
18.
Broeckhove, J., F. Arickx, Wim Vanroose, & V. S. Vasilevsky. (2004). The modified J-matrix method for short range potentials. Journal of Physics A Mathematical and General. 37(31). 7769–7781. 8 indexed citations
19.
Zhang, Zhiyong, Wim Vanroose, C. William McCurdy, A. E. Orel, & T. N. Rescigno. (2004). Low-energy electron scattering ofNO:Ab initioanalysis of theΣ−3,Δ1, andΣ+1shape resonances in the local complex potential model. Physical Review A. 69(6). 16 indexed citations
20.
Vanroose, Wim, J. Broeckhove, & F. Arickx. (2001). ModifiedJ-Matrix Method for Scattering. Physical Review Letters. 88(1). 10404–10404. 13 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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