Karl Rupp

3.9k citations
49 papers · 653 indexed · h-index 14
Topics
Parallel Computing and Optimization Techniques (22 papers)Advancements in Semiconductor Devices and Circuit Design (15 papers)Matrix Theory and Algorithms (14 papers)

In The Last Decade

Karl Rupp

47 papers receiving 624 citations

Peers

Karl Rupp
Comparison fields: 5 of 82
  • Electrical and Electronic Engineering 314
  • Hardware and Architecture 131
  • Computer Networks and Communications 103
  • Computational Theory and Mathematics 99
  • Computational Mechanics 93
Replace Maxim Naumov with:
Maxim Naumov United States
Maryam Mehri Dehnavi Canada
Aparna Chandramowlishwaran United States
Josef Weinbub Austria
Pedro Valero‐Lara Spain
Daniel Sunderland United States
Johann Dahm United States
Takeshi Iwashita Japan
Akira Nukada Japan
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Citations per field
00.5×1.7×
Maxim Naumov · 1×
Citations per year

Countries citing papers authored by Karl Rupp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Karl Rupp

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Rupp. A scholar is included among the top collaborators of Karl Rupp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karl Rupp. Karl Rupp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2
Vectorized Parallel Sparse Matrix-Vector Multiplication in PETSc Using AVX-512
2
3 13
4 20
5 1
6 2
7 7
8 13
9 1
10 28
11 10
12 9
13 9
14
Bipolar Spherical Harmonics Expansions of the Boltzmann Transport Equation
6
15 1
16 6
17 29
18 9
19 1
20 3

About Karl Rupp

Karl Rupp is a scholar working on Hardware and Architecture, Computational Mathematics and Computational Theory and Mathematics, having authored 49 papers that have together received 653 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (22 papers), Advancements in Semiconductor Devices and Circuit Design (15 papers) and Matrix Theory and Algorithms (14 papers). The work is most often cited by research in Computational Mathematics (12 citations), Hardware and Architecture (131 citations) and Computational Theory and Mathematics (99 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, Yannick Wimmer, Philippe Tillet, Barry Smith and B. Kaczer. Their work appears in journals such as Proceedings of the IEEE, Journal of Computational Physics and IEEE Transactions on Electron Devices.

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.

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