Volker John

6.3k total citations · 1 hit paper
140 papers, 4.4k citations indexed

About

Volker John is a scholar working on Computational Mechanics, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Volker John has authored 140 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Computational Mechanics, 44 papers in Numerical Analysis and 31 papers in Computational Theory and Mathematics. Recurrent topics in Volker John's work include Advanced Numerical Methods in Computational Mathematics (94 papers), Computational Fluid Dynamics and Aerodynamics (69 papers) and Fluid Dynamics and Turbulent Flows (33 papers). Volker John is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (94 papers), Computational Fluid Dynamics and Aerodynamics (69 papers) and Fluid Dynamics and Turbulent Flows (33 papers). Volker John collaborates with scholars based in Germany, Spain and Czechia. Volker John's co-authors include Petr Knobloch, Gunar Matthies, Julia Novo, Songül Kaya, Lutz Tobiska, William Layton, Dominique Thévenin, Gabriel R. Barrenechea, Joachim Rang and Traian Iliescu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Volker John

134 papers receiving 4.1k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Finite Element Methods for Incompressible Flow Problems

2016 228 citations Volker John profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Volker John	3.6k	1.2k	1.2k	599	565	140	4.4k
Xinlong Feng	2.3k 0.6×	1.5k 1.3×	708 0.6×	825 1.4×	330 0.6×	301	3.9k
Lutz Tobiska	3.4k 0.9×	2.3k 1.9×	1.7k 1.5×	471 0.8×	154 0.3×	109	4.6k
Alberto Valli	3.2k 0.9×	1.0k 0.8×	1.5k 1.3×	1.3k 2.1×	404 0.7×	59	5.1k
Stefan Turek	3.4k 0.9×	492 0.4×	641 0.6×	483 0.8×	180 0.3×	166	5.0k
Richard E. Ewing	4.5k 1.2×	1.4k 1.1×	2.0k 1.7×	1.7k 2.9×	143 0.3×	190	6.3k
Gianmarco Manzini	3.8k 1.0×	773 0.6×	1.2k 1.0×	2.0k 3.4×	172 0.3×	120	4.5k
D.W. Peaceman	1.5k 0.4×	729 0.6×	773 0.7×	529 0.9×	138 0.2×	25	4.6k
Li-Lian Wang	822 0.2×	2.0k 1.7×	432 0.4×	851 1.4×	460 0.8×	111	4.4k
Zhongying Chen	687 0.2×	462 0.4×	464 0.4×	555 0.9×	109 0.2×	86	2.6k
Robert Eymard	2.2k 0.6×	579 0.5×	1.0k 0.9×	433 0.7×	100 0.2×	152	3.5k

Countries citing papers authored by Volker John

Since Specialization

Citations

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

Fields of papers citing papers by Volker John

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volker John

This figure shows the co-authorship network connecting the top 25 collaborators of Volker John. A scholar is included among the top collaborators of Volker John 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 Volker John. Volker John is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jain, H. C., et al.. (2025). Improving hp-variational physics-informed neural networks for steady-state convection-dominated problems. Computer Methods in Applied Mechanics and Engineering. 438. 117797–117797.

Barrenechea, Gabriel R., Volker John, & Petr Knobloch. (2025). Monotone Discretizations for Elliptic Second Order Partial Differential Equations. 2 indexed citations

Ahmed, Naveed, et al.. (2024). Inf-sup stabilized Scott–Vogelius pairs on general shape-regular simplicial grids for Navier–Stokes equations. Computers & Mathematics with Applications. 168. 148–161. 1 indexed citations

John, Volker, et al.. (2024). Inf–sup stabilized Scott–Vogelius pairs on general shape-regular simplicial grids by Raviart–Thomas enrichment. Mathematical Models and Methods in Applied Sciences. 34(5). 919–949. 3 indexed citations

John, Volker, et al.. (2024). On Loss Functionals for Physics-Informed Neural Networks for Steady-State Convection-Dominated Convection-Diffusion Problems. Communications on Applied Mathematics and Computation. 8(1). 287–308. 1 indexed citations

John, Volker, et al.. (2023). A posteriori optimization of parameters in stabilized methods for convection–diffusion problems — Part II. Journal of Computational and Applied Mathematics. 428. 115167–115167. 3 indexed citations

John, Volker, et al.. (2023). Using Deep Neural Networks for Detecting Spurious Oscillations in Discontinuous Galerkin Solutions of Convection-Dominated Convection–Diffusion Equations. Journal of Scientific Computing. 97(2). 4 indexed citations

John, Volker, et al.. (2023). Instantaneous gelation and non-existence of weak solutions for the Oort–Hulst–Safronov coagulation model. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 479(2270).

Frutos, Javier de, Bosco Garcı́a-Archilla, Volker John, & Julia Novo. (2019). Error Analysis of Non Inf-sup Stable Discretizations of the time-dependent Navier--Stokes Equations with Local Projection Stabilization. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 19 indexed citations

10.

John, Volker, Songül Kaya, & Julia Novo. (2017). Finite element error analysis of a mantle convection model. Open MIND.

11.

Frutos, Javier de, Bosco Garcı́a-Archilla, Volker John, & Julia Novo. (2017). Semi-robust Local Projection Stabilization for Non Inf-sup Stable Discretizations of the Evolutionary Navier-Stokes Equations. arXiv (Cornell University). 1 indexed citations

12.

John, Volker, et al.. (2017). Towards physically admissible reduced-order solutions for convection–diffusion problems. Applied Mathematics Letters. 73. 78–83. 1 indexed citations

13.

John, Volker, et al.. (2013). A study of isogeometric analysis for scalar convection–diffusion equations. Applied Mathematics Letters. 27. 43–48. 6 indexed citations

14.

Jenkins, Eleanor W., Volker John, Alexander Linke, & Leo G. Rebholz. (2012). On the parameter choice in grad-div stabilization for incompressible flow problems. Open MIND. 6 indexed citations

15.

John, Volker, et al.. (2009). Finite element LES and VMS methods on tetrahedral meshes. Journal of Computational and Applied Mathematics. 233(12). 3095–3102. 7 indexed citations

16.

John, Volker, et al.. (2008). Finite element error analysis for a projection-based variational multiscale method with nonlinear eddy viscosity. Journal of Mathematical Analysis and Applications. 344(2). 627–641. 25 indexed citations

17.

John, Volker, et al.. (2006). ON FINITE ELEMENT VARIATIONAL MULTISCALE METHODS FOR INCOMPRESSIBLE TURBULENT FLOWS. Research Repository (Delft University of Technology). 2 indexed citations

18.

John, Volker. (2004). An assessment of two models for the subgrid scale tensor in the rational LES model. Journal of Computational and Applied Mathematics. 173(1). 57–80. 20 indexed citations

19.

John, Volker. (2002). Slip with friction and penetration with resistance boundary conditions for the Navier–Stokes equations—numerical tests and aspects of the implementation. Journal of Computational and Applied Mathematics. 147(2). 287–300. 57 indexed citations

20.

John, Volker. (1998). A posteriori L2-error estimates for the nonconforming P1P0-finite element discretization of the Stokes equations. Journal of Computational and Applied Mathematics. 96(2). 99–116. 11 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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