Adrian Schüpbach
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Distributed and Parallel Computing Systems
- Interconnection Networks and Systems
Papers in
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- Distributed systems and fault tolerance 4
- Distributed and Parallel Computing Systems 4
- Advanced Data Storage Technologies 4
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- Parallel Computing and Optimization Techniques 8
- Co-authors
- Timothy Roscoe (9 shared papers)Simon Peter (7 shared papers)Andrew Baumann (6 shared papers)Rebecca Isaacs (4 shared papers)Paul Barham (4 shared papers)Tim Harris (3 shared papers)Akhilesh Singhania (2 shared papers)Pierre-Évariste Dagand (1 shared paper)
- Journals
- ACM Transactions on Computer Systems (1 paper)Conference on Innovative Data Systems Research (1 paper)
- Partner nations
- SwitzerlandUnited KingdomFrance
In The Last Decade
Adrian Schüpbach
9 papers receiving 583 citations
Adrian Schüpbach's Hit Papers
Peers
Comparison fields: 5 of 25
- Hardware and Architecture 516
- Computer Networks and Communications 571
- Information Systems 328
- Artificial Intelligence 133
- Software 12
Countries citing papers authored by Adrian Schüpbach
This map shows the geographic impact of Adrian Schüpbach'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 Adrian Schüpbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Schüpbach more than expected).
Fields of papers citing papers by Adrian Schüpbach
This network shows the impact of papers produced by Adrian Schüpbach. 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 Adrian Schüpbach. The network helps show where Adrian Schüpbach may publish in the future.
Co-authors
The 10 scholars most cited alongside Adrian Schüpbach, 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 | The multikernel Hit paper breakdown → | 2009 | 530 |
| 2 | Embracing diversity in the Barrelfish manycore operating system | 2008 | 60 |
| 3 | Your computer is already a distributed system. why isn't your OS? | 2009 | 31 |
| 4 | Design principles for end-to-end multicore schedulers | 2010 | 18 |
| 5 | 2011 | 13 | |
| 6 | COD: Database / Operating System Co-Design | 2013 | 11 |
| 7 | Early experience with the Barrelfish OS and the Single-Chip Cloud Computer. | 2011 | 8 |
| 8 | 2012 | 3 | |
| 9 | 2012 | 1 |
About Adrian Schüpbach
Adrian Schüpbach is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Infectious Diseases, having authored 9 papers that have together received 675 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Distributed systems and fault tolerance (4 papers), Distributed and Parallel Computing Systems (4 papers), Advanced Data Storage Technologies (4 papers), Cloud Computing and Resource Management (3 papers) and Security and Verification in Computing (2 papers). The work is most often cited by research in Hardware and Architecture (516 citations), Computer Networks and Communications (571 citations), Information Systems (328 citations), Artificial Intelligence (133 citations) and Software (12 citations). Adrian Schüpbach has collaborated with scholars based in Switzerland, United Kingdom and France. Frequent co-authors include Timothy Roscoe, Simon Peter, Andrew Baumann, Rebecca Isaacs, Paul Barham, Tim Harris, Akhilesh Singhania, Pierre-Évariste Dagand, Gustavo Alonso and Jana Giceva. Their work appears in journals such as ACM Transactions on Computer Systems and Conference on Innovative Data Systems Research.
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.