J.G. Verwer

6.6k citations

154 papers · 4.7k · 1 hit paper · h-index 33

Impact in

Numerical Analysis top 0.1%
- Numerical methods for differential equations
- Differential Equations and Numerical Methods
Computational Mechanics top 0.2%
- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics

Papers in

Numerical Analysis 118
- Numerical methods for differential equations 104
- Differential Equations and Numerical Methods 52
Computational Mechanics 95
- Advanced Numerical Methods in Computational Mathematics 77
- Computational Fluid Dynamics and Aerodynamics 36

Co-authors: Willem Hundsdorfer (26 shared papers)J.G. Blom (18 shared papers)B.P. Sommeijer (16 shared papers)J. M. Sanz‐Serna (15 shared papers)E.J. Spee (10 shared papers)R.A. Trompert (11 shared papers)Joke Blom (21 shared papers)L. F. Shampine (4 shared papers)
Journals: Applied Numerical Mathematics (13 papers)Mathematics of Computation (10 papers)Journal of Computational and Applied Mathematics (10 papers)Journal of Computational Physics (7 papers)Numerische Mathematik (7 papers)
Partner nations: Netherlands Spain United States

In The Last Decade

J.G. Verwer

148 papers receiving 4.2k citations

J.G. Verwer's Hit Papers

align trajectories log scale

Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations 2003 · 1.0k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2003 CERN Document Server (European Organization for Nuclear Research)

Peers

Countries citing papers authored by J.G. Verwer

Since Specialization

Citations

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

Fields of papers citing papers by J.G. Verwer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.G. Verwer. 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 J.G. Verwer. The network helps show where J.G. Verwer may publish in the future.

Co-authors

The 25 scholars most cited alongside J.G. Verwer, 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 J.G. Verwer Line = papers co-authored together J.G. Verwer links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations CERN Document Server (European Organization for Nuclear Research) ·Willem Hundsdorfer, J.G. Verwer Hit paper breakdown →	2003	1001
2	Benchmarking stiff ode solvers for atmospheric chemistry problems II: Rosenbrock solvers Atmospheric Environment ·Adrian Sandu, J.G. Verwer, J.G. Blom, E.J. Spee, Gregory R. Carmichael, Florian A. Potra	1997	183
3	Analysis of operator splitting for advection–diffusion–reaction problems from air pollution modelling Journal of Computational and Applied Mathematics ·D. Lanser, J.G. Verwer	1999	148
4	A Second-Order Rosenbrock Method Applied to Photochemical Dispersion Problems SIAM Journal on Scientific Computing ·J.G. Verwer, E.J. Spee, J.G. Blom, Willem Hundsdorfer	1999	143
5	RKC: An explicit solver for parabolic PDEs Journal of Computational and Applied Mathematics ·B.P. Sommeijer, L. F. Shampine, J.G. Verwer	1998	140
6	A Positive Finite-Difference Advection Scheme Journal of Computational Physics ·Willem Hundsdorfer, Barry Koren, (unknown), J.G. Verwer	1995	138
7	Explicit Runge-Kutta methods for parabolic partial differential equations Applied Numerical Mathematics ·J.G. Verwer	1996	126
8	Gauss–Seidel Iteration for Stiff ODES from Chemical Kinetics SIAM Journal on Scientific Computing ·J.G. Verwer	1994	124
9	Convergence properties of the Runge-Kutta-Chebyshev method Numerische Mathematik ·J.G. Verwer, Willem Hundsdorfer, B.P. Sommeijer	1990	120
10	Conerservative and Nonconservative Schemes for the Solution of the Nonlinear Schrödinger Equation IMA Journal of Numerical Analysis ·J. M. Sanz‐Serna, J.G. Verwer	1986	112
11	Benchmarking stiff ode solvers for atmospheric chemistry problems-I. implicit vs explicit Atmospheric Environment ·Adrian Sandu, J.G. Verwer, M. van Loon, Gregory R. Carmichael, Florian A. Potra, Donald Dabdub, John H. Seinfeld	1997	112
12	RKC time-stepping for advection–diffusion–reaction problems Journal of Computational Physics ·J.G. Verwer, B.P. Sommeijer, Willem Hundsdorfer	2004	102
13	Convergence and order reduction of Runge-Kutta schemes applied to evolutionary problems in partial differential equations Numerische Mathematik ·J. M. Sanz‐Serna, J.G. Verwer, Willem Hundsdorfer	1986	87
14	ROS3P—An Accurate Third-Order Rosenbrock Solver Designed for Parabolic Problems BIT Numerical Mathematics ·Jens Lang, J.G. Verwer	2001	83
15	A numerical study of three moving-grid methods for one-dimensional partial differential equations which are based on the method of lines Journal of Computational Physics ·R.M. Furzeland, J.G. Verwer, P.A. Zegeling	1990	81
16	Convergence of method of lines approximations to partial differential equations Computing ·J.G. Verwer, J. M. Sanz‐Serna	1984	72
17	A multirate time stepping strategy for stiff ordinary differential equations BIT Numerical Mathematics ·Valeriu Savcenco, Willem Hundsdorfer, J.G. Verwer	2006	70
18	An implicit-explicit approach for atmospheric transport-chemistry problems Applied Numerical Mathematics ·J.G. Verwer, J.G. Blom, Willem Hundsdorfer	1996	69
19	An Implicit-Explicit Runge--Kutta--Chebyshev Scheme for Diffusion-Reaction Equations SIAM Journal on Scientific Computing ·J.G. Verwer, B.P. Sommeijer	2004	64
20	Numerical time integration for air pollution models Data Archiving and Networked Services (DANS) ·J.G. Verwer, Willem Hundsdorfer, Joke Blom	1998	62

About J.G. Verwer

J.G. Verwer is a scholar working on Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Applied Mathematics, having authored 154 papers that have together received 4.7k indexed citations. Recurring topics across this work include Numerical methods for differential equations (104 papers), Advanced Numerical Methods in Computational Mathematics (77 papers), Differential Equations and Numerical Methods (52 papers), Computational Fluid Dynamics and Aerodynamics (36 papers), Electromagnetic Simulation and Numerical Methods (25 papers), Matrix Theory and Algorithms (20 papers), Gas Dynamics and Kinetic Theory (14 papers) and Atmospheric chemistry and aerosols (8 papers). The work is most often cited by research in Numerical Analysis (2.4k citations), Computational Mechanics (2.3k citations), Modeling and Simulation (287 citations), Computational Theory and Mathematics (786 citations) and Atmospheric Science (699 citations). J.G. Verwer has collaborated with scholars based in Netherlands, Spain and United States. Frequent co-authors include Willem Hundsdorfer, J.G. Blom, B.P. Sommeijer, J. M. Sanz‐Serna, E.J. Spee, R.A. Trompert, Joke Blom, L. F. Shampine, Gregory R. Carmichael and Adrian Sandu. Their work appears in journals such as Applied Numerical Mathematics, Mathematics of Computation, Journal of Computational and Applied Mathematics, Journal of Computational Physics and Numerische Mathematik.

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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