Ch. Schwab

32 papers receiving 1.1k citations

Peers

Ch. Schwab
Comparison fields: 5 of 62
  • Statistics, Probability and Uncertainty 408
  • Numerical Analysis 241
  • Computational Mechanics 674
  • Computational Mathematics 13
  • Computational Theory and Mathematics 312
Replace Oliver G. Ernst with:
Oliver G. Ernst Germany
Georgios E. Zouraris Greece
Catherine E. Powell United Kingdom
Marcus Sarkis United States
Jason E. Hicken United States
Donald Estep United States
Claude Jeffrey Gittelson Switzerland
Aretha L. Teckentrup United Kingdom
Einar M. Rønquist Norway
Zhu Wang United States
Ch. Schwab relative to Oliver G. Ernst Germany Oliver G. Ernst's profile →
Citations per field
00.5×1.5×
Oliver G. Ernst · 1×
Citations per year

Countries citing papers authored by Ch. Schwab

Since Specialization
Citations

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

Fields of papers citing papers by Ch. Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ch. Schwab, 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 Ch. Schwab Line = papers co-authored together Ch. Schwab links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
P- and hp- finite element methods : theory and applications in solid and fluid mechanics
1999351
2 201293
3 201489
4 201281
5 200357
6 201156
7 202151
8 200844
9 201139
10 201234
11 200033
12 201833
13 201430
14 201329
15 200027
16 200324
17 201623
18 201221
19 200321
20 201619

About Ch. Schwab

Ch. Schwab is a scholar working on Computational Mechanics, Mechanics of Materials, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (13 papers), Probabilistic and Robust Engineering Design (9 papers), Numerical methods in engineering (8 papers), Mathematical Approximation and Integration (8 papers), Advanced Mathematical Modeling in Engineering (7 papers), Numerical methods in inverse problems (4 papers), Electromagnetic Simulation and Numerical Methods (3 papers) and Electromagnetic Scattering and Analysis (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (408 citations), Numerical Analysis (241 citations), Computational Mechanics (674 citations), Computational Mathematics (13 citations) and Computational Theory and Mathematics (312 citations). Ch. Schwab has collaborated with scholars based in Switzerland, Germany and Australia. Frequent co-authors include Siddhartha Mishra, Jonas Šukys, Ian H. Sloan, Frances Y. Kuo, Radu Alexandru Todor, Ralf Hiptmair, Claudia Schillings, Jakob Zech, Dominik Schötzau and Thomas P. Wihler. Their work appears in journals such as Journal of Computational Physics, Numerische Mathematik, Advances in Computational Mathematics, SIAM Journal on Numerical Analysis and SIAM Journal on Scientific Computing.

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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