B. M. Waugh
Impact in
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- Scientific Computing and Data Management
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- Species Distribution and Climate Change
Papers in
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- Distributed and Parallel Computing Systems 3
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- Particle physics theoretical and experimental studies 3
- Quantum Chromodynamics and Particle Interactions 1
- Particle Detector Development and Performance 1
- High-Energy Particle Collisions Research 1
- Co-authors
- Neil Chue Hong (1 shared paper)Paul Wilson (1 shared paper)Steven H. D. Haddock (1 shared paper)Ian M. Mitchell (1 shared paper)Richard Guy (1 shared paper)M. Ryleigh Davis (1 shared paper)C. Titus Brown (1 shared paper)Mark D. Plumbley (1 shared paper)
- Journals
- PLoS Biology (1 paper)SciPost Physics Core (1 paper)IEEE Transactions on Nuclear Science (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- CanadaUnited KingdomAustralia
In The Last Decade
B. M. Waugh
3 papers receiving 411 citations
B. M. Waugh's Hit Papers
Peers
Comparison fields: 5 of 108
- Information Systems and Management 147
- Ecological Modeling 24
- Information Systems 107
- Software 12
- Biophysics 18
Countries citing papers authored by B. M. Waugh
This map shows the geographic impact of B. M. Waugh'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 B. M. Waugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. M. Waugh more than expected).
Fields of papers citing papers by B. M. Waugh
This network shows the impact of papers produced by B. M. Waugh. 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 B. M. Waugh. The network helps show where B. M. Waugh may publish in the future.
Co-authors
The 21 scholars most cited alongside B. M. Waugh, 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 | Best Practices for Scientific Computing Hit paper breakdown → | 2014 | 395 |
| 2 | 2021 | 22 | |
| 3 | 2006 | 5 | |
| 4 | 1996 | 0 |
About B. M. Waugh
B. M. Waugh is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Computer Vision and Pattern Recognition, Information Systems and Management and Management Science and Operations Research, having authored 4 papers that have together received 422 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Particle physics theoretical and experimental studies (3 papers), Quantum Chromodynamics and Particle Interactions (1 paper), Scientific Computing and Data Management (1 paper), Particle Detector Development and Performance (1 paper), Data Visualization and Analytics (1 paper), Simulation Techniques and Applications (1 paper) and High-Energy Particle Collisions Research (1 paper). The work is most often cited by research in Information Systems and Management (147 citations), Ecological Modeling (24 citations), Information Systems (107 citations), Software (12 citations) and Biophysics (18 citations). B. M. Waugh has collaborated with scholars based in Canada, United Kingdom and Australia. Frequent co-authors include Neil Chue Hong, Paul Wilson, Steven H. D. Haddock, Ian M. Mitchell, Richard Guy, M. Ryleigh Davis, C. Titus Brown, Mark D. Plumbley, Ethan P. White and Greg Wilson. Their work appears in journals such as PLoS Biology, SciPost Physics Core, IEEE Transactions on Nuclear Science and arXiv (Cornell University).
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.