Martin Grepl
Impact in
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- Model Reduction and Neural Networks
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- Probabilistic and Robust Engineering Design
Papers in
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- Model Reduction and Neural Networks 23
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- Synthesis and Characterization of Heterocyclic Compounds 6
- Synthesis and biological activity 5
- Synthesis and Reactions of Organic Compounds 4
- Synthesis and Biological Evaluation 4
- Co-authors
- Anthony T. Patera (4 shared papers)Ngoc Cuong Nguyen (1 shared paper)Yvon Maday (1 shared paper)Karen Veroy (9 shared papers)Miroslav Soural (5 shared papers)Jens L. Eftang (2 shared papers)Marcus J. Moeller (3 shared papers)Pavel Hradil (13 shared papers)
- Journals
- Tetrahedron (3 papers)Comptes Rendus Mathématique (3 papers)SIAM Journal on Scientific Computing (2 papers)Synlett (2 papers)Mathematical Models and Methods in Applied Sciences (2 papers)
- Partner nations
- GermanyCzechiaUnited States
In The Last Decade
Martin Grepl
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Statistical and Nonlinear Physics 715
- Statistics, Probability and Uncertainty 341
- Numerical Analysis 214
- Computational Mechanics 452
- Computational Mathematics 8
Countries citing papers authored by Martin Grepl
This map shows the geographic impact of Martin Grepl'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 Martin Grepl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Grepl more than expected).
Fields of papers citing papers by Martin Grepl
This network shows the impact of papers produced by Martin Grepl. 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 Martin Grepl. The network helps show where Martin Grepl may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Grepl, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 325 | |
| 2 | 2005 | 233 | |
| 3 | 2013 | 103 | |
| 4 | 2010 | 36 | |
| 5 | 2011 | 28 | |
| 6 | 2017 | 28 | |
| 7 | 2018 | 27 | |
| 8 | 2021 | 26 | |
| 9 | 2011 | 26 | |
| 10 | 2005 | 25 | |
| 11 | 2017 | 24 | |
| 12 | 2012 | 23 | |
| 13 | 2014 | 20 | |
| 14 | 2014 | 19 | |
| 15 | 2016 | 19 | |
| 16 | 2012 | 15 | |
| 17 | 2012 | 14 | |
| 18 | 2014 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2014 | 11 |
About Martin Grepl
Martin Grepl is a scholar working on Statistical and Nonlinear Physics, Organic Chemistry, Computational Mechanics, Molecular Biology and Numerical Analysis, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (23 papers), Advanced Numerical Methods in Computational Mathematics (18 papers), Numerical methods for differential equations (9 papers), Probabilistic and Robust Engineering Design (9 papers), Synthesis and Characterization of Heterocyclic Compounds (6 papers), Synthesis and biological activity (5 papers), Synthesis and Reactions of Organic Compounds (4 papers) and Synthesis and Biological Evaluation (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (715 citations), Statistics, Probability and Uncertainty (341 citations), Numerical Analysis (214 citations), Computational Mechanics (452 citations) and Computational Mathematics (8 citations). Martin Grepl has collaborated with scholars based in Germany, Czechia and United States. Frequent co-authors include Anthony T. Patera, Ngoc Cuong Nguyen, Yvon Maday, Karen Veroy, Miroslav Soural, Jens L. Eftang, Marcus J. Moeller, Pavel Hradil, Sébastien Boyaval and Jan Hlaváč. Their work appears in journals such as Tetrahedron, Comptes Rendus Mathématique, SIAM Journal on Scientific Computing, Synlett and Mathematical Models and Methods in Applied Sciences.
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.