Robert Scheichl
Impact in
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- Probabilistic and Robust Engineering Design
- Numerical Analysis top 1%
- Mathematical Approximation and Integration
Papers in
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- Matrix Theory and Algorithms 28
- Advanced Mathematical Modeling in Engineering 23
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- Advanced Numerical Methods in Computational Mathematics 52
- Co-authors
- Aretha L. Teckentrup (6 shared papers)Ivan G. Graham (21 shared papers)Michael B. Giles (3 shared papers)K. Andrew Cliffe (2 shared papers)Clemens G. A. Pechstein (9 shared papers)Tim J. Dodwell (12 shared papers)Ian H. Sloan (8 shared papers)Frances Y. Kuo (7 shared papers)
- Journals
- Numerische Mathematik (8 papers)SIAM Journal on Scientific Computing (8 papers)Journal of Computational Physics (7 papers)SIAM/ASA Journal on Uncertainty Quantification (7 papers)SIAM Journal on Numerical Analysis (7 papers)
- Partner nations
- United KingdomGermanyAustralia
In The Last Decade
Robert Scheichl
101 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 75
- Statistics, Probability and Uncertainty 806
- Numerical Analysis 400
- Computational Mathematics 48
- Computational Theory and Mathematics 843
- Computational Mechanics 1k
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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 362 | |
| 2 | 2013 | 141 | |
| 3 | 2013 | 135 | |
| 4 | 2012 | 122 | |
| 5 | 2011 | 121 | |
| 6 | 2007 | 119 | |
| 7 | 2014 | 106 | |
| 8 | 2015 | 102 | |
| 9 | 2012 | 76 | |
| 10 | 2014 | 60 | |
| 11 | 2008 | 59 | |
| 12 | 2003 | 56 | |
| 13 | 2012 | 53 | |
| 14 | 2019 | 43 | |
| 15 | 2007 | 40 | |
| 16 | 2000 | 38 | |
| 17 | 2011 | 38 | |
| 18 | 2017 | 38 | |
| 19 | 2007 | 37 | |
| 20 | 2012 | 35 |
About Robert Scheichl
Robert Scheichl is a scholar working on Computational Theory and Mathematics, Computational Mechanics, Statistics, Probability and Uncertainty, Numerical Analysis and Statistics and Probability, having authored 110 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (52 papers), Matrix Theory and Algorithms (28 papers), Probabilistic and Robust Engineering Design (26 papers), Advanced Mathematical Modeling in Engineering (23 papers), Mathematical Approximation and Integration (17 papers), Markov Chains and Monte Carlo Methods (13 papers), Gaussian Processes and Bayesian Inference (5 papers) and Meteorological Phenomena and Simulations (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (806 citations), Numerical Analysis (400 citations), Computational Mathematics (48 citations), Computational Theory and Mathematics (843 citations) and Computational Mechanics (1k citations). Robert Scheichl has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Aretha L. Teckentrup, Ivan G. Graham, Michael B. Giles, K. Andrew Cliffe, Clemens G. A. Pechstein, Tim J. Dodwell, Ian H. Sloan, Frances Y. Kuo, Julia Charrier and Elisabeth Ullmann. Their work appears in journals such as Numerische Mathematik, SIAM Journal on Scientific Computing, Journal of Computational Physics, SIAM/ASA Journal on Uncertainty Quantification and SIAM Journal on 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.