Lukas Krämer
Impact in
- Computational Mathematics top 10%
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in ⓘ
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- Matrix Theory and Algorithms 9
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- Numerical methods for differential equations 1
- Co-authors
- Bruno Lang (8 shared papers)Thomas Huckle (2 shared papers)Hans‐Joachim Bungartz (2 shared papers)R. Johanni (1 shared paper)Volker Blüm (1 shared paper)Hermann Lederer (1 shared paper)Edoardo Di Napoli (1 shared paper)Paolo Bientinesi (1 shared paper)
- Journals
- Parallel Computing (2 papers)Numerical Linear Algebra with Applications (1 paper)Journal of Computational Science (1 paper)IEEE/ASME Transactions on Mechatronics (1 paper)ETNA - Electronic Transactions on Numerical Analysis (1 paper)
- Partner nations
- GermanyNetherlands
In The Last Decade
Lukas Krämer
14 papers receiving 191 citations
Peers
Comparison fields: 5 of 49
- Computational Mathematics 9
- Hardware and Architecture 33
- Numerical Analysis 26
- Computational Theory and Mathematics 73
- Atomic and Molecular Physics, and Optics 82
Countries citing papers authored by Lukas Krämer
This map shows the geographic impact of Lukas Krämer'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 Lukas Krämer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Krämer more than expected).
Fields of papers citing papers by Lukas Krämer
This network shows the impact of papers produced by Lukas Krämer. 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 Lukas Krämer. The network helps show where Lukas Krämer may publish in the future.
Co-authors
The 17 scholars most cited alongside Lukas Krämer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 128 | |
| 2 | 2012 | 22 | |
| 3 | 2011 | 12 | |
| 4 | 2015 | 9 | |
| 5 | 2019 | 7 | |
| 6 | 2020 | 6 | |
| 7 | 2017 | 6 | |
| 8 | 2011 | 5 | |
| 9 | 2014 | 3 | |
| 10 | 2019 | 2 | |
| 11 | Don't get stuck in complexity: Coping with strategic complexity in the context of Product Generation Engineering | 2016 | 2 |
| 12 | Integration based solvers for standard and generalized Hermitian eigenvalue problems | 2018 | 1 |
| 13 | 2017 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2018 | 0 |
About Lukas Krämer
Lukas Krämer is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Hardware and Architecture, Atomic and Molecular Physics, and Optics and Management of Technology and Innovation, having authored 15 papers that have together received 205 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (9 papers), Electromagnetic Scattering and Analysis (5 papers), Graphene research and applications (4 papers), Spacecraft Design and Technology (2 papers), Parallel Computing and Optimization Techniques (2 papers), Numerical methods for differential equations (1 paper), Characterization and Applications of Magnetic Nanoparticles (1 paper) and Design Education and Practice (1 paper). The work is most often cited by research in Computational Mathematics (9 citations), Hardware and Architecture (33 citations), Numerical Analysis (26 citations), Computational Theory and Mathematics (73 citations) and Atomic and Molecular Physics, and Optics (82 citations). Lukas Krämer has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Bruno Lang, Thomas Huckle, Hans‐Joachim Bungartz, R. Johanni, Volker Blüm, Hermann Lederer, Edoardo Di Napoli, Paolo Bientinesi, Gert Witvoet and Jonas Thies. Their work appears in journals such as Parallel Computing, Numerical Linear Algebra with Applications, Journal of Computational Science, IEEE/ASME Transactions on Mechatronics and ETNA - Electronic Transactions 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.