Claude Barthels
Impact in
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- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Advanced Database Systems and Queries
- Caching and Content Delivery
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Distributed systems and fault tolerance 4
- Advanced Data Storage Technologies 4
- Advanced Database Systems and Queries 2
- IoT and Edge/Fog Computing 1
- Distributed and Parallel Computing Systems 1
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- Cloud Computing and Resource Management 5
- Co-authors
- Gustavo Alonso (6 shared papers)Torsten Hoefler (4 shared papers)Simon Loesing (1 shared paper)Donald Kossmann (1 shared paper)Ingo Müller (2 shared papers)Jana Giceva (1 shared paper)Timo Schneider (1 shared paper)Maciej Besta (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (2 papers)ACM SIGMOD Record (1 paper)ACM Computing Surveys (1 paper)Spiral (Imperial College London) (1 paper)IEEE Data(base) Engineering Bulletin (1 paper)
- Partner nations
- SwitzerlandUnited States
In The Last Decade
Claude Barthels
8 papers receiving 248 citations
Peers
Comparison fields: 5 of 24
- Computer Networks and Communications 215
- Hardware and Architecture 59
- Information Systems 135
- Signal Processing 25
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by Claude Barthels
This map shows the geographic impact of Claude Barthels'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 Claude Barthels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claude Barthels more than expected).
Fields of papers citing papers by Claude Barthels
This network shows the impact of papers produced by Claude Barthels. 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 Claude Barthels. The network helps show where Claude Barthels may publish in the future.
Co-authors
The 18 scholars most cited alongside Claude Barthels, 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 | 2015 | 70 | |
| 2 | 2017 | 60 | |
| 3 | 2017 | 59 | |
| 4 | 2023 | 36 | |
| 5 | 2019 | 19 | |
| 6 | Designing Databases for Future High-Performance Networks. | 2017 | 8 |
| 7 | 2021 | 7 | |
| 8 | 2012 | 4 |
About Claude Barthels
Claude Barthels is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Hardware and Architecture and Infectious Diseases, having authored 8 papers that have together received 263 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Distributed systems and fault tolerance (4 papers), Advanced Data Storage Technologies (4 papers), Advanced Database Systems and Queries (2 papers), Parallel Computing and Optimization Techniques (2 papers), IoT and Edge/Fog Computing (1 paper), Distributed and Parallel Computing Systems (1 paper) and Context-Aware Activity Recognition Systems (1 paper). The work is most often cited by research in Computer Networks and Communications (215 citations), Hardware and Architecture (59 citations), Information Systems (135 citations), Signal Processing (25 citations) and Computer Vision and Pattern Recognition (46 citations). Claude Barthels has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Gustavo Alonso, Torsten Hoefler, Simon Loesing, Donald Kossmann, Ingo Müller, Jana Giceva, Timo Schneider, Maciej Besta, Michał Podstawski and Robert Gerstenberger. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record, ACM Computing Surveys, Spiral (Imperial College London) and IEEE Data(base) Engineering Bulletin.
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.