Jens Lang

2.2k total citations
98 papers, 1.4k citations indexed

About

Jens Lang is a scholar working on Computational Mechanics, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Jens Lang has authored 98 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computational Mechanics, 38 papers in Numerical Analysis and 16 papers in Computational Theory and Mathematics. Recurrent topics in Jens Lang's work include Advanced Numerical Methods in Computational Mathematics (41 papers), Numerical methods for differential equations (30 papers) and Computational Fluid Dynamics and Aerodynamics (18 papers). Jens Lang is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (41 papers), Numerical methods for differential equations (30 papers) and Computational Fluid Dynamics and Aerodynamics (18 papers). Jens Lang collaborates with scholars based in Germany, United States and Netherlands. Jens Lang's co-authors include Bodo Erdmann, Martin Seebaß, J.G. Verwer, Oliver Kolb, Weizhang Huang, Peter Deuflhard, Debora Clever, Luca F. Pavarino, Gudula Rünger and Piero Colli Franzone and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Computational Physics and Annals of the New York Academy of Sciences.

In The Last Decade

Jens Lang

91 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens Lang Germany 21 602 376 260 246 189 98 1.4k
Klaus Gärtner Germany 20 646 1.1× 202 0.5× 728 2.8× 596 2.4× 443 2.3× 45 2.7k
Luca F. Pavarino Italy 25 1.2k 2.0× 270 0.7× 412 1.6× 311 1.3× 664 3.5× 121 2.2k
J.A. Ferreira Portugal 18 208 0.3× 175 0.5× 117 0.5× 174 0.7× 158 0.8× 117 1.2k
Patrick Amestoy France 8 678 1.1× 183 0.5× 405 1.6× 155 0.6× 528 2.8× 14 1.8k
Simone Deparis Switzerland 23 855 1.4× 168 0.4× 83 0.3× 319 1.3× 232 1.2× 56 1.5k
August Johansson Norway 8 542 0.9× 76 0.2× 157 0.6× 199 0.8× 225 1.2× 15 1.5k
Stefano De Marchı Italy 22 545 0.9× 301 0.8× 89 0.3× 81 0.3× 265 1.4× 108 1.4k
Piero Colli Franzone Italy 22 147 0.2× 92 0.2× 138 0.5× 214 0.9× 143 0.8× 50 1.5k
Matthias Heinkenschloss United States 26 837 1.4× 625 1.7× 96 0.4× 127 0.5× 704 3.7× 75 1.8k
Ben Adcock Canada 18 562 0.9× 107 0.3× 83 0.3× 305 1.2× 114 0.6× 72 1.4k

Countries citing papers authored by Jens Lang

Since Specialization
Citations

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

Fields of papers citing papers by Jens Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Lang. A scholar is included among the top collaborators of Jens Lang 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 Jens Lang. Jens Lang 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.
Lang, Jens & Bernhard A. Schmitt. (2024). Variable-stepsize implicit Peer triplets in ODE constrained optimal control. Journal of Computational and Applied Mathematics. 460. 116417–116417.
2.
Lang, Jens & Bernhard A. Schmitt. (2024). Implicit Peer Triplets in Gradient-Based Solution Algorithms for ODE Constrained Optimal Control. Journal of Optimization Theory and Applications. 203(1). 985–1026.
3.
Lang, Jens & Bernhard A. Schmitt. (2023). Exact Discrete Solutions of Boundary Control Problems for the 1D Heat Equation. Journal of Optimization Theory and Applications. 196(3). 1106–1118. 2 indexed citations
4.
Schulte, Daniel O., et al.. (2021). Quantification of bore path uncertainty in borehole heat exchanger arrays using adaptive anisotropic stochastic collocation. Geothermics. 97. 102194–102194. 7 indexed citations
5.
Gugat, Martin, et al.. (2021). Probabilistic constrained optimization on flow networks. Optimization and Engineering. 23(2). 1–50. 9 indexed citations
6.
Damerau, Alexandra, Igor Ponomarev, Moritz Pfeiffenberger, et al.. (2020). Macroscale mesenchymal condensation to study cytokine-driven cellular and matrix-related changes during cartilage degradation. Biofabrication. 12(4). 45016–45016. 10 indexed citations
7.
Huang, Weizhang, et al.. (2019). Conditioning of implicit Runge–Kutta integration for finite element approximation of linear diffusion equations on anisotropic meshes. Journal of Computational and Applied Mathematics. 387. 112497–112497. 5 indexed citations
8.
Lang, Jens, et al.. (2018). Adaptive refinement strategies for the simulation of gas flow in networks using a model hierarchy. ETNA - Electronic Transactions on Numerical Analysis. Oesterreichisches Musiklexikon online (Institut für kunst- und musikhistorische Forschungen der Österreichischen Akademie der Wissenschaften). 9 indexed citations
9.
Lang, Jens, et al.. (2018). Entropy-preserving coupling conditions for one-dimensional Euler systems at junctions. Networks and Heterogeneous Media. 13(1). 177–190. 6 indexed citations
10.
Lang, Jens & Willem Hundsdorfer. (2017). Extrapolation-based implicit–explicit Peer methods with optimised stability regions. Journal of Computational Physics. 337. 203–215. 6 indexed citations
11.
Liu, Shengyuan, Alf Gerisch, Mohammad Rahimi, et al.. (2015). Robustness of a new molecular dynamics–finite element coupling approach for soft matter systems analyzed by uncertainty quantification. The Journal of Chemical Physics. 142(10). 104105–104105. 8 indexed citations
12.
Debrabant, Kristian & Jens Lang. (2014). On asymptotic global error estimation and control of finite difference solutions for semilinear parabolic equations. Computer Methods in Applied Mechanics and Engineering. 288. 110–126. 2 indexed citations
13.
14.
Lang, Jens, et al.. (2013). Comparison of the asymptotic stability for multirate Rosenbrock methods. Journal of Computational and Applied Mathematics. 262. 139–149. 2 indexed citations
15.
Schröder, Dirk, Jens Lang, & Rüdiger Weiner. (2013). Stability and consistency of discrete adjoint implicit peer methods. Journal of Computational and Applied Mathematics. 262. 73–86. 7 indexed citations
16.
Martín, Alexander, Kathrin Klamroth, Jens Lang, et al.. (2012). Mathematical optimization of water networks. Springer eBooks. 10 indexed citations
17.
Kolb, Oliver, et al.. (2010). An adaptive model switching and discretization algorithm for gas flow on networks. Procedia Computer Science. 1(1). 1331–1340. 6 indexed citations
18.
Lang, Jens. (2005). Adaptive computation for boundary control of radiative heat transfer in glass. Journal of Computational and Applied Mathematics. 183(2). 312–326. 9 indexed citations
19.
Lang, Jens, Bodo Erdmann, & Martin Seebaß. (1999). Impact of nonlinear heat transfer on temperature control in regional hyperthermia. IEEE Transactions on Biomedical Engineering. 46(9). 1129–1138. 194 indexed citations
20.
Erdmann, Bodo, Jens Lang, & Martin Seebaß. (1998). Optimization of Temperature Distributions for Regional Hyperthermia Based on a Nonlinear Heat Transfer Modela. Annals of the New York Academy of Sciences. 858(1). 36–46. 57 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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