R. Schweitzer
Impact in
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- Scientific Computing and Data Management
- Architecture top 10%
Papers in
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- Distributed and Parallel Computing Systems 3
- Advanced Data Storage Technologies 2
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- Scientific Computing and Data Management 2
- Co-authors
- H. I. Bilgesu (1 shared paper)Julius Natterer (2 shared papers)Michael Volz (2 shared papers)Thomas Herzog (1 shared paper)Philip Kershaw (2 shared papers)Feiyi Wang (2 shared papers)Daniel Crichton (2 shared papers)Mark Morgan (2 shared papers)
- Journals
- Future Generation Computer Systems (1 paper)Theoretical Chemistry Accounts (1 paper)Oceanography (1 paper)Institutional Research Information System (Università degli Studi di Trento) (1 paper)AGU Fall Meeting Abstracts (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
R. Schweitzer
8 papers receiving 284 citations
Peers
Comparison fields: 5 of 67
- Information Systems and Management 48
- Architecture 10
- Global and Planetary Change 110
- Atmospheric Science 91
- Building and Construction 39
Countries citing papers authored by R. Schweitzer
This map shows the geographic impact of R. Schweitzer'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 R. Schweitzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Schweitzer more than expected).
Fields of papers citing papers by R. Schweitzer
This network shows the impact of papers produced by R. Schweitzer. 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 R. Schweitzer. The network helps show where R. Schweitzer may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Schweitzer, 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 | 2013 | 165 | |
| 2 | 2004 | 52 | |
| 3 | 2009 | 36 | |
| 4 | 2012 | 21 | |
| 5 | 1989 | 18 | |
| 6 | 2003 | 7 | |
| 7 | 1987 | 3 | |
| 8 | The GFDL Data Portal: a Doorway to Sharing Model Outputs | 2004 | 1 |
| 9 | 2023 | 0 |
About R. Schweitzer
R. Schweitzer is a scholar working on Computer Networks and Communications, Information Systems and Management, Hardware and Architecture, Condensed Matter Physics and Oceanography, having authored 9 papers that have together received 303 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Advanced Data Storage Technologies (2 papers), Parallel Computing and Optimization Techniques (2 papers), Scientific Computing and Data Management (2 papers), Particle Detector Development and Performance (1 paper), Computational Physics and Python Applications (1 paper), Marine and coastal ecosystems (1 paper) and Reservoir Engineering and Simulation Methods (1 paper). The work is most often cited by research in Information Systems and Management (48 citations), Architecture (10 citations), Global and Planetary Change (110 citations), Atmospheric Science (91 citations) and Building and Construction (39 citations). R. Schweitzer has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include H. I. Bilgesu, Julius Natterer, Michael Volz, Thomas Herzog, Philip Kershaw, Feiyi Wang, Daniel Crichton, Mark Morgan, Sébastien Denvil and Neill Miller. Their work appears in journals such as Future Generation Computer Systems, Theoretical Chemistry Accounts, Oceanography, Institutional Research Information System (Università degli Studi di Trento) and AGU Fall Meeting Abstracts.
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.