Karl Rupp
Impact in
- Computational Mathematics top 10%
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Parallel Computing and Optimization Techniques 22
-
- Distributed and Parallel Computing Systems 11
- Advanced Data Storage Technologies 9
- Co-authors
- Tibor Grasser (20 shared papers)S. Selberherr (14 shared papers)Ansgar Jüngel (12 shared papers)M. Bina (8 shared papers)Josef Weinbub (12 shared papers)Stanislav Tyaginov (7 shared papers)Barry Smith (6 shared papers)Yannick Wimmer (6 shared papers)
- Journals
- SIAM Journal on Scientific Computing (2 papers)Journal of Computational and Applied Mathematics (2 papers)Applied Mathematics and Computation (2 papers)IEEE Transactions on Electron Devices (2 papers)Journal of Computational Physics (1 paper)
- Partner nations
- AustriaUnited StatesRussia
In The Last Decade
Karl Rupp
47 papers receiving 633 citations
Peers
Comparison fields: 5 of 82
- Computational Mathematics 12
- Hardware and Architecture 134
- Computational Theory and Mathematics 101
- Electrical and Electronic Engineering 317
- Computer Graphics and Computer-Aided Design 19
Countries citing papers authored by Karl Rupp
This map shows the geographic impact of Karl Rupp'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 Karl Rupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Rupp more than expected).
Fields of papers citing papers by Karl Rupp
This network shows the impact of papers produced by Karl Rupp. 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 Karl Rupp. The network helps show where Karl Rupp may publish in the future.
Co-authors
The 25 scholars most cited alongside Karl Rupp, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 73 | |
| 2 | 2016 | 59 | |
| 3 | 2010 | 55 | |
| 4 | 2021 | 39 | |
| 5 | 2016 | 35 | |
| 6 | 2020 | 33 | |
| 7 | 2015 | 31 | |
| 8 | 2011 | 29 | |
| 9 | 2013 | 28 | |
| 10 | 2012 | 27 | |
| 11 | 2016 | 21 | |
| 12 | 2016 | 20 | |
| 13 | 2020 | 16 | |
| 14 | 2013 | 13 | |
| 15 | 2011 | 13 | |
| 16 | 2018 | 13 | |
| 17 | 2016 | 12 | |
| 18 | 2010 | 12 | |
| 19 | 2018 | 11 | |
| 20 | 2012 | 10 |
About Karl Rupp
Karl Rupp is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Computational Theory and Mathematics and Computational Mechanics, having authored 49 papers that have together received 660 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (22 papers), Advancements in Semiconductor Devices and Circuit Design (15 papers), Matrix Theory and Algorithms (14 papers), Advanced Numerical Methods in Computational Mathematics (11 papers), Distributed and Parallel Computing Systems (11 papers), Semiconductor materials and devices (10 papers), Advanced Data Storage Technologies (9 papers) and Silicon Carbide Semiconductor Technologies (8 papers). The work is most often cited by research in Computational Mathematics (12 citations), Hardware and Architecture (134 citations), Computational Theory and Mathematics (101 citations), Electrical and Electronic Engineering (317 citations) and Computer Graphics and Computer-Aided Design (19 citations). Karl Rupp has collaborated with scholars based in Austria, United States and Russia. Frequent co-authors include Tibor Grasser, S. Selberherr, Ansgar Jüngel, M. Bina, Josef Weinbub, Stanislav Tyaginov, Barry Smith, Yannick Wimmer, Philippe Tillet and B. Kaczer. Their work appears in journals such as SIAM Journal on Scientific Computing, Journal of Computational and Applied Mathematics, Applied Mathematics and Computation, IEEE Transactions on Electron Devices and Journal of Computational Physics.
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.