S. Haug
Impact in
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- Venous Thromboembolism Diagnosis and Management
Papers in ⓘ
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 3
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- Dark Matter and Cosmic Phenomena 2
- Particle Detector Development and Performance 2
- Astrophysics and Cosmic Phenomena 2
- Co-authors
- Heike Mayer (3 shared papers)F. G. Sciacca (3 shared papers)M. Weber (5 shared papers)Walter A. Wuillemin (2 shared papers)Johanna A. Kremer Hovinga (2 shared papers)C. C. Hsu (1 shared paper)Andreas Greinacher (2 shared papers)Christos T. Nakas (2 shared papers)
- Journals
- Nature Structural & Molecular Biology (1 paper)Journal of Rural Studies (1 paper)Regional Studies Regional Science (1 paper)Journal of Instrumentation (1 paper)EClinicalMedicine (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
S. Haug
13 papers receiving 88 citations
Peers
Comparison fields: 5 of 53
- Internal Medicine 14
- Health Informatics 4
- Architecture 3
- Urban Studies 10
- Nuclear and High Energy Physics 14
Countries citing papers authored by S. Haug
This map shows the geographic impact of S. Haug'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 S. Haug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Haug more than expected).
Fields of papers citing papers by S. Haug
This network shows the impact of papers produced by S. Haug. 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 S. Haug. The network helps show where S. Haug may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Haug, 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 | 2021 | 27 | |
| 2 | 2022 | 21 | |
| 3 | 2022 | 11 | |
| 4 | 2012 | 7 | |
| 5 | 2012 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2017 | 4 | |
| 8 | LCG and ARC middleware interoperability | 2006 | 4 |
| 9 | 2022 | 2 | |
| 10 | 2015 | 2 | |
| 11 | 2017 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2004 | 0 | |
| 16 | 2012 | 0 |
About S. Haug
S. Haug is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Sociology and Political Science, Information Systems and Management and Surgery, having authored 16 papers that have together received 90 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Advanced Data Storage Technologies (3 papers), Scientific Computing and Data Management (3 papers), Digital Economy and Work Transformation (3 papers), Dark Matter and Cosmic Phenomena (2 papers), Particle Detector Development and Performance (2 papers), Astrophysics and Cosmic Phenomena (2 papers) and Innovation, Technology, and Society (2 papers). The work is most often cited by research in Internal Medicine (14 citations), Health Informatics (4 citations), Architecture (3 citations), Urban Studies (10 citations) and Nuclear and High Energy Physics (14 citations). S. Haug has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Heike Mayer, F. G. Sciacca, M. Weber, Walter A. Wuillemin, Johanna A. Kremer Hovinga, C. C. Hsu, Andreas Greinacher, Christos T. Nakas, Tamam Bakchoul and M. Zeller. Their work appears in journals such as Nature Structural & Molecular Biology, Journal of Rural Studies, Regional Studies Regional Science, Journal of Instrumentation and EClinicalMedicine.
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.