A. Jocksch
Impact in
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- Parallel Computing and Optimization Techniques
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- Fluid Dynamics and Turbulent Flows
- Computational Fluid Dynamics and Aerodynamics
- Combustion and flame dynamics
Papers in
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- Advanced Data Storage Technologies 6
- Interconnection Networks and Systems 2
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- Fluid Dynamics and Turbulent Flows 4
- Combustion and flame dynamics 2
- Co-authors
- Leonhard Kleiser (4 shared papers)L. Ṽillard (6 shared papers)C. Gheller (5 shared papers)S. Brunner (5 shared papers)Farah Hariri (3 shared papers)Emmanuel Lanti (5 shared papers)David Daverio (1 shared paper)Peter Messmer (1 shared paper)
- Journals
- Computer Physics Communications (2 papers)Parallel Computing (1 paper)Theoretical and Computational Fluid Dynamics (1 paper)Journal of Computational Physics (1 paper)AIAA Journal (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
A. Jocksch
15 papers receiving 124 citations
Peers
Comparison fields: 5 of 32
- Hardware and Architecture 21
- Computational Mechanics 57
- Nuclear and High Energy Physics 31
- Computational Mathematics 1
- Aerospace Engineering 33
Countries citing papers authored by A. Jocksch
This map shows the geographic impact of A. Jocksch'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 A. Jocksch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Jocksch more than expected).
Fields of papers citing papers by A. Jocksch
This network shows the impact of papers produced by A. Jocksch. 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 A. Jocksch. The network helps show where A. Jocksch may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Jocksch, 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 | 2008 | 40 | |
| 2 | 2016 | 22 | |
| 3 | 2020 | 11 | |
| 4 | 2016 | 9 | |
| 5 | 2016 | 7 | |
| 6 | 2020 | 7 | |
| 7 | 2015 | 7 | |
| 8 | 2018 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2004 | 5 | |
| 11 | 2005 | 4 | |
| 12 | 2006 | 1 | |
| 13 | 2007 | 1 | |
| 14 | 2012 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2020 | 0 |
About A. Jocksch
A. Jocksch is a scholar working on Computer Networks and Communications, Computational Mechanics, Hardware and Architecture, Nuclear and High Energy Physics and Artificial Intelligence, having authored 18 papers that have together received 126 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (6 papers), Parallel Computing and Optimization Techniques (4 papers), Fluid Dynamics and Turbulent Flows (4 papers), Magnetic confinement fusion research (4 papers), Wind and Air Flow Studies (2 papers), Algorithms and Data Compression (2 papers), Combustion and flame dynamics (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Hardware and Architecture (21 citations), Computational Mechanics (57 citations), Nuclear and High Energy Physics (31 citations), Computational Mathematics (1 citation) and Aerospace Engineering (33 citations). A. Jocksch has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Leonhard Kleiser, L. Ṽillard, C. Gheller, S. Brunner, Farah Hariri, Emmanuel Lanti, David Daverio, Peter Messmer, T. M. Tran and T. M. Tran. Their work appears in journals such as Computer Physics Communications, Parallel Computing, Theoretical and Computational Fluid Dynamics, Journal of Computational Physics and AIAA Journal.
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.