Douglas Schuster
Impact in
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- Scientific Computing and Data Management
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- Environmental Monitoring and Data Management
Papers in
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- Distributed and Parallel Computing Systems 2
- Software System Performance and Reliability 1
- Peer-to-Peer Network Technologies 1
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- Research Data Management Practices 3
- Co-authors
- Matthew S. Mayernik (4 shared papers)Gretchen L. Mullendore (2 shared papers)Gang Peng (1 shared paper)Baudouin Raoult (1 shared paper)G. Stossmeister (2 shared papers)Alexander Schill (1 shared paper)Steven J. Worley (1 shared paper)Fuqing Zhang (1 shared paper)
- Journals
- Bulletin of the American Meteorological Society (2 papers)Eos (1 paper)Frontiers in Climate (1 paper)2015 AGU Fall Meeting (1 paper)Open MIND (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Douglas Schuster
7 papers receiving 16 citations
Peers
Comparison fields: 5 of 14
- Information Systems and Management 9
- Geology 2
- Atmospheric Science 5
- Information Systems 6
- Software 1
Countries citing papers authored by Douglas Schuster
This map shows the geographic impact of Douglas Schuster'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 Douglas Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas Schuster more than expected).
Fields of papers citing papers by Douglas Schuster
This network shows the impact of papers produced by Douglas Schuster. 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 Douglas Schuster. The network helps show where Douglas Schuster may publish in the future.
Co-authors
The 13 scholars most cited alongside Douglas Schuster, 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 | 5 | |
| 2 | 2008 | 3 | |
| 3 | 2018 | 2 | |
| 4 | 2013 | 2 | |
| 5 | 2019 | 2 | |
| 6 | The National Center for Atmospheric Research (NCAR) Research Data Archive: a Data Education Center | 2015 | 1 |
| 7 | 2023 | 1 |
About Douglas Schuster
Douglas Schuster is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Artificial Intelligence and Atmospheric Science, having authored 7 papers that have together received 16 indexed citations. Recurring topics across this work include Research Data Management Practices (3 papers), Scientific Computing and Data Management (3 papers), Distributed and Parallel Computing Systems (2 papers), Software System Performance and Reliability (1 paper), Geochemistry and Geologic Mapping (1 paper), Advanced Computational Techniques and Applications (1 paper), Meteorological Phenomena and Simulations (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Information Systems and Management (9 citations), Geology (2 citations), Atmospheric Science (5 citations), Information Systems (6 citations) and Software (1 citation). Douglas Schuster has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Matthew S. Mayernik, Gretchen L. Mullendore, Gang Peng, Baudouin Raoult, G. Stossmeister, Alexander Schill, Steven J. Worley, Fuqing Zhang, Mohan K. Ramamurthy and Danie Kinkade. Their work appears in journals such as Bulletin of the American Meteorological Society, Eos, Frontiers in Climate, 2015 AGU Fall Meeting and Open MIND.
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.