Boris Krämer
Impact in
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- Probabilistic and Robust Engineering Design
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- Model Reduction and Neural Networks
Papers in
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- Model Reduction and Neural Networks 34
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- Probabilistic and Robust Engineering Design 24
- Co-authors
- Karen Willcox (13 shared papers)Benjamin Peherstorfer (8 shared papers)B. F. von Turkovich (2 shared papers)Nam P. Suh (1 shared paper)Elizabeth Qian (2 shared papers)H. Kazerooni (2 shared papers)Mouhacine Benosman (4 shared papers)Zhu Wang (3 shared papers)
- Journals
- Computer Methods in Applied Mechanics and Engineering (8 papers)Journal of Computational Physics (5 papers)SIAM/ASA Journal on Uncertainty Quantification (4 papers)CIRP Annals (3 papers)Structural and Multidisciplinary Optimization (3 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Boris Krämer
74 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 93
- Statistics, Probability and Uncertainty 370
- Statistical and Nonlinear Physics 587
- Numerical Analysis 131
- Mechanical Engineering 736
- Computational Mechanics 266
Countries citing papers authored by Boris Krämer
This map shows the geographic impact of Boris 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 Boris Krämer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Krämer more than expected).
Fields of papers citing papers by Boris Krämer
This network shows the impact of papers produced by Boris 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 Boris Krämer. The network helps show where Boris Krämer may publish in the future.
Co-authors
The 25 scholars most cited alongside Boris 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
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 271 | |
| 2 | 2020 | 186 | |
| 3 | 1980 | 133 | |
| 4 | 1987 | 105 | |
| 5 | 2020 | 79 | |
| 6 | 1986 | 74 | |
| 7 | 1986 | 63 | |
| 8 | 2023 | 57 | |
| 9 | 2017 | 57 | |
| 10 | 2022 | 50 | |
| 11 | 2021 | 49 | |
| 12 | 1983 | 38 | |
| 13 | 2017 | 38 | |
| 14 | 2020 | 36 | |
| 15 | 2018 | 32 | |
| 16 | 2016 | 31 | |
| 17 | 2002 | 28 | |
| 18 | 2017 | 27 | |
| 19 | 1988 | 26 | |
| 20 | 2022 | 25 |
About Boris Krämer
Boris Krämer is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty, Mechanical Engineering, Control and Systems Engineering and Computational Mechanics, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (34 papers), Probabilistic and Robust Engineering Design (24 papers), Numerical methods for differential equations (13 papers), Teleoperation and Haptic Systems (7 papers), Fluid Dynamics and Turbulent Flows (7 papers), Fluid Dynamics and Vibration Analysis (6 papers), Control Systems and Identification (5 papers) and Advanced machining processes and optimization (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (370 citations), Statistical and Nonlinear Physics (587 citations), Numerical Analysis (131 citations), Mechanical Engineering (736 citations) and Computational Mechanics (266 citations). Boris Krämer has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Karen Willcox, Benjamin Peherstorfer, B. F. von Turkovich, Nam P. Suh, Elizabeth Qian, H. Kazerooni, Mouhacine Benosman, Zhu Wang, Padmini Rangamani and Serkan Gugercin. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Computational Physics, SIAM/ASA Journal on Uncertainty Quantification, CIRP Annals and Structural and Multidisciplinary Optimization.
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.