Robert Scheichl

4.0k total citations
85 papers, 2.1k citations indexed

About

Robert Scheichl is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Robert Scheichl has authored 85 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computational Mechanics, 39 papers in Computational Theory and Mathematics and 23 papers in Mechanics of Materials. Recurrent topics in Robert Scheichl's work include Advanced Numerical Methods in Computational Mathematics (41 papers), Advanced Mathematical Modeling in Engineering (30 papers) and Probabilistic and Robust Engineering Design (23 papers). Robert Scheichl is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (41 papers), Advanced Mathematical Modeling in Engineering (30 papers) and Probabilistic and Robust Engineering Design (23 papers). Robert Scheichl collaborates with scholars based in United Kingdom, Germany and United States. Robert Scheichl's co-authors include Aretha L. Teckentrup, Ivan G. Graham, Michael B. Giles, K. A. Cliffe, Clemens Pechstein, Tim Dodwell, Ian H. Sloan, Frances Y. Kuo, Eike H. Müller and Victorita Dolean and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Computational Physics and Journal of Membrane Science.

In The Last Decade

Robert Scheichl

78 papers receiving 1.9k citations

Peers

Robert Scheichl
Comparison fields: 5 of 91
  • Computational Mechanics 1.0k
  • Computational Theory and Mathematics 867
  • Statistics, Probability and Uncertainty 705
  • Mechanics of Materials 492
  • Numerical Analysis 360
Replace Ch. Schwab with:
Ch. Schwab Switzerland
Oliver G. Ernst Germany
Serge Prudhomme United States
K. A. Cliffe United Kingdom
Tan Bui–Thanh United States
Ivan G. Graham United Kingdom
Georgios E. Zouraris Greece
Clayton Webster United States
Gregory E. Fasshauer United States
Robert Eymard France
Ch. Schwab Switzerland View profile →
Citations per field, relative to Robert Scheichl
Robert Scheichl · 1×
Citations per year, relative to Robert Scheichl
Robert Scheichl · 1×

Countries citing papers authored by Robert Scheichl

Since Specialization
Citations

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

Fields of papers citing papers by Robert Scheichl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Scheichl

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Scheichl. A scholar is included among the top collaborators of Robert Scheichl 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 Robert Scheichl. Robert Scheichl 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
# Work Indexed citations
1 4
2 0
3 0
4 0
5 0
6 0
7 0
8 4
9 11
10 2
11 13
12
HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference.
2
13 15
14 7
15 76
16 9
17 20
18 15
19 20
20
Robust aggregation-based coarsening for additive Schwarz in the case of highly variable coefficients
3

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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