Roland Pulch

719 total citations
50 papers, 283 citations indexed

About

Roland Pulch is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Numerical Analysis. According to data from OpenAlex, Roland Pulch has authored 50 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics, Probability and Uncertainty, 21 papers in Statistical and Nonlinear Physics and 14 papers in Numerical Analysis. Recurrent topics in Roland Pulch's work include Probabilistic and Robust Engineering Design (24 papers), Model Reduction and Neural Networks (15 papers) and Numerical methods for differential equations (14 papers). Roland Pulch is often cited by papers focused on Probabilistic and Robust Engineering Design (24 papers), Model Reduction and Neural Networks (15 papers) and Numerical methods for differential equations (14 papers). Roland Pulch collaborates with scholars based in Germany, United States and Netherlands. Roland Pulch's co-authors include E. Jan W. ter Maten, Michael Günther, Dongbin Xiu, Andreas Bartel, Peter Meuris, Wim Schoenmaker, Piotr Paplicki, Ryszard Paƚka, Mani Mehra and Joost Rommes and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Magnetics and SIAM Journal on Scientific Computing.

In The Last Decade

Roland Pulch

44 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roland Pulch Germany 12 159 103 65 62 57 50 283
Tarek A. El-Moselhy United States 9 187 1.2× 73 0.7× 40 0.6× 59 1.0× 130 2.3× 14 296
Giovanni Migliorati Switzerland 7 165 1.0× 57 0.6× 45 0.7× 43 0.7× 9 0.2× 12 224
Hans-Jörg Starkloff Germany 5 244 1.5× 67 0.7× 77 1.2× 60 1.0× 12 0.2× 7 318
Erik von Schwerin Saudi Arabia 6 124 0.8× 45 0.4× 26 0.4× 29 0.5× 10 0.2× 11 182
Qifeng Liao China 11 108 0.7× 197 1.9× 21 0.3× 39 0.6× 96 1.7× 34 368
Caroline Sainvitu France 9 91 0.6× 72 0.7× 28 0.4× 145 2.3× 9 0.2× 26 293
Leo Wai-Tsun Ng United States 5 257 1.6× 83 0.8× 50 0.8× 151 2.4× 9 0.2× 7 332
Fei Guan China 7 101 0.6× 111 1.1× 57 0.9× 67 1.1× 20 0.4× 24 331
Walter V. Wedig Germany 8 96 0.6× 84 0.8× 95 1.5× 14 0.2× 13 0.2× 38 291
Qinghua Feng China 13 41 0.3× 229 2.2× 30 0.5× 31 0.5× 11 0.2× 60 558

Countries citing papers authored by Roland Pulch

Since Specialization
Citations

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

Fields of papers citing papers by Roland Pulch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Pulch

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Pulch. A scholar is included among the top collaborators of Roland Pulch 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 Roland Pulch. Roland Pulch 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.
Pulch, Roland, et al.. (2025). STOCHASTIC GALERKIN METHOD FOR LINEAR FRACTIONAL DIFFERENTIAL EQUATIONS. International Journal for Uncertainty Quantification. 15(5). 21–36. 1 indexed citations
2.
Pulch, Roland, et al.. (2024). STOCHASTIC GALERKIN METHOD AND PORT-HAMILTONIAN FORM FOR LINEAR FIRST-ORDER ORDINARY DIFFERENTIAL EQUATIONS. International Journal for Uncertainty Quantification. 14(4). 65–82. 1 indexed citations
3.
Pulch, Roland. (2023). Stochastic Galerkin method and port-Hamiltonian form for linear dynamical systems of second order. Mathematics and Computers in Simulation. 216. 187–197. 1 indexed citations
4.
Pulch, Roland. (2022). Image analysis for patterns in solutions of reaction–diffusion equations. Journal of Computational and Applied Mathematics. 414. 114429–114429.
5.
Pulch, Roland, et al.. (2020). MACHINE LEARNING FOR TRAJECTORIES OF PARAMETRIC NONLINEAR DYNAMICAL SYSTEMS. 1(1). 75–95. 1 indexed citations
6.
Pulch, Roland. (2016). A Hankel norm for quadrature rules solving random linear dynamical systems. Journal of Computational and Applied Mathematics. 316. 307–318.
7.
Pulch, Roland, et al.. (2016). Model order reduction using singularly perturbed systems. Applied Numerical Mathematics. 103. 72–87. 1 indexed citations
8.
Tischendorf, Caren, et al.. (2015). The nanocops project on algorithms for nanoelectronic coupled problems solutions. QRU Quaderns de Recerca en Urbanisme. 1029–1036. 1 indexed citations
9.
Bucchianico, A. Di, et al.. (2014). Robust and efficient uncertainty quantification and validation of RFIC isolation. SHILAP Revista de lepidopterología. 23(1). 308–318. 1 indexed citations
10.
Pulch, Roland, et al.. (2013). Sensitivity analysis and model order reduction for random linear dynamical systems. TU/e Research Portal (Eindhoven University of Technology). 1315(3). 227–41. 2 indexed citations
11.
Pulch, Roland. (2013). Stochastic collocation and stochastic Galerkin methods for linear differential algebraic equations. Journal of Computational and Applied Mathematics. 262. 281–291. 22 indexed citations
12.
Pulch, Roland, et al.. (2013). Sensitivity analysis of linear dynamical systems in uncertainty quantification. PAMM. 13(1). 507–508. 5 indexed citations
13.
Pulch, Roland. (2013). Stochastic Galerkin Methods for Analyzing Equilibria of Random Dynamical Systems. SIAM/ASA Journal on Uncertainty Quantification. 1(1). 408–430. 2 indexed citations
14.
Pulch, Roland. (2012). Polynomial chaos for boundary value problems of dynamical systems. Applied Numerical Mathematics. 62(10). 1477–1490. 3 indexed citations
15.
Pulch, Roland, et al.. (2009). Model order reduction for semi-explicit systems of differential algebraic equations. TU/e Research Portal (Eindhoven University of Technology). 920. 6 indexed citations
16.
Pulch, Roland, et al.. (2009). Polynomial chaos for simulating random volatilities. Mathematics and Computers in Simulation. 80(2). 245–255. 13 indexed citations
17.
Bartel, Andreas, et al.. (2008). Wavelet-based adaptive grids for multirate partial differential-algebraic equations. Applied Numerical Mathematics. 59(3-4). 495–506. 2 indexed citations
18.
Pulch, Roland, et al.. (2007). Multirate partial differential algebraic equations for simulating radio frequency signals. European Journal of Applied Mathematics. 18(6). 709–743. 3 indexed citations
19.
Pulch, Roland. (2007). Multidimensional models for analysing frequency modulated signals. Mathematical and Computer Modelling of Dynamical Systems. 13(4). 315–330.
20.

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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