Jan Stoess
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Distributed systems and fault tolerance
- IoT and Edge/Fog Computing
- Caching and Content Delivery
Papers in
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- Parallel Computing and Optimization Techniques 10
- Real-Time Systems Scheduling 1
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- Cloud Computing and Resource Management 12
- Co-authors
- Frank BellosaVolkmar UhligJoshua LeVasseurStefan GötzAndreas MerkelMarius HillenbrandAmos WaterlandJonathan Appavoo
- Journals
- The International Journal of High Performance Computing Applications (1 paper)ACM SIGOPS Operating Systems Review (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (8 papers)Operating Systems Design and Implementation (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Jan Stoess
13 papers receiving 482 citations
Peers
Comparison fields: 5 of 29
- Hardware and Architecture 295
- Computer Networks and Communications 442
- Information Systems 364
- Artificial Intelligence 123
- Signal Processing 35
Countries citing papers authored by Jan Stoess
This map shows the geographic impact of Jan Stoess'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 Jan Stoess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Stoess more than expected).
Fields of papers citing papers by Jan Stoess
This network shows the impact of papers produced by Jan Stoess. 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 Jan Stoess. The network helps show where Jan Stoess may publish in the future.
Co-authors
The 14 scholars most cited alongside Jan Stoess, 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 | 2023 | 0 | |
| 2 | 2013 | 34 | |
| 3 | 2012 | 20 | |
| 4 | 2012 | 1 | |
| 5 | 2012 | 1 | |
| 6 | 2011 | 4 | |
| 7 | 2010 | 120 | |
| 8 | 2010 | 26 | |
| 9 | 2007 | 5 | |
| 10 | 2007 | 125 | |
| 11 | 2007 | 9 | |
| 12 | 2006 | 2 | |
| 13 | 2006 | 1 | |
| 14 | Unmodified device driver reuse and improved system dependability via virtual machines | 2004 | 185 |
About Jan Stoess
Jan Stoess is a scholar working on Hardware and Architecture, Information Systems, Computer Networks and Communications, Software and Artificial Intelligence, having authored 14 papers that have together received 533 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (12 papers), Parallel Computing and Optimization Techniques (10 papers), Distributed and Parallel Computing Systems (7 papers), Advanced Data Storage Technologies (4 papers), Interconnection Networks and Systems (2 papers), Distributed systems and fault tolerance (1 paper), Software Reliability and Analysis Research (1 paper) and Real-Time Systems Scheduling (1 paper). The work is most often cited by research in Hardware and Architecture (295 citations), Computer Networks and Communications (442 citations), Information Systems (364 citations), Artificial Intelligence (123 citations) and Signal Processing (35 citations). Jan Stoess has collaborated with scholars based in Germany and United States. Frequent co-authors include Frank Bellosa, Volkmar Uhlig, Joshua LeVasseur, Stefan Götz, Andreas Merkel, Marius Hillenbrand, Amos Waterland, Jonathan Appavoo, Udo Steinberg and Dilma Da Silva. Their work appears in journals such as The International Journal of High Performance Computing Applications, ACM SIGOPS Operating Systems Review, Repository KITopen (Karlsruhe Institute of Technology) and Operating Systems Design and Implementation.
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.