Robert Scheichl
Impact in
-
- Probabilistic and Robust Engineering Design
- Numerical Analysis top 2%
- Mathematical Approximation and Integration
Papers in
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- Advanced Numerical Methods in Computational Mathematics 41
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- Advanced Mathematical Modeling in Engineering 30
- Matrix Theory and Algorithms 9
- Co-authors
- Aretha L. Teckentrup (6 shared papers)Ivan G. Graham (14 shared papers)Michael B. Giles (2 shared papers)K. A. Cliffe (2 shared papers)Clemens Pechstein (6 shared papers)Tim Dodwell (9 shared papers)Ian H. Sloan (6 shared papers)Frances Y. Kuo (6 shared papers)
- Journals
- Numerische Mathematik (8 papers)SIAM Journal on Scientific Computing (5 papers)SIAM Journal on Numerical Analysis (5 papers)Journal of Computational Physics (5 papers)IMA Journal of Numerical Analysis (4 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Robert Scheichl
78 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 91
- Statistics, Probability and Uncertainty 705
- Numerical Analysis 360
- Computational Theory and Mathematics 867
- Computational Mechanics 1.0k
- Computational Mathematics 25
Countries citing papers authored by Robert Scheichl
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
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-authors
The 25 scholars most cited alongside Robert Scheichl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 276 | |
| 2 | 2012 | 113 | |
| 3 | 2013 | 105 | |
| 4 | 2013 | 105 | |
| 5 | 2013 | 103 | |
| 6 | 2007 | 93 | |
| 7 | 2011 | 86 | |
| 8 | 2015 | 76 | |
| 9 | 2014 | 75 | |
| 10 | 2012 | 50 | |
| 11 | 2003 | 49 | |
| 12 | 2014 | 47 | |
| 13 | 2008 | 43 | |
| 14 | 2012 | 41 | |
| 15 | 2007 | 35 | |
| 16 | 2000 | 35 | |
| 17 | 2016 | 30 | |
| 18 | 2011 | 29 | |
| 19 | 2007 | 29 | |
| 20 | 2011 | 28 |
About Robert Scheichl
Robert Scheichl is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Mechanics of Materials, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 85 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (41 papers), Advanced Mathematical Modeling in Engineering (30 papers), Probabilistic and Robust Engineering Design (23 papers), Mathematical Approximation and Integration (16 papers), Numerical methods in engineering (13 papers), Matrix Theory and Algorithms (9 papers), Composite Material Mechanics (8 papers) and Markov Chains and Monte Carlo Methods (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (705 citations), Numerical Analysis (360 citations), Computational Theory and Mathematics (867 citations), Computational Mechanics (1.0k citations) and Computational Mathematics (25 citations). Robert Scheichl has collaborated with scholars based in United Kingdom, Germany and United States. Frequent 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. Their work appears in journals such as Numerische Mathematik, SIAM Journal on Scientific Computing, SIAM Journal on Numerical Analysis, Journal of Computational Physics and IMA Journal of Numerical Analysis.
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.