B. M. Waugh

15.9k citations
5 papers · 481 · 1 hit paper · h-index 4

Impact in

Papers in

B. M. Waugh

4 papers receiving 467 citations

B. M. Waugh's Hit Papers

Best Practices for Scientific Computing 2014 · 400 citations
4000+4+8Years since publication100200300400

Peers

B. M. Waugh
Comparison fields: 5 of 110
  • Information Systems and Management 146
  • Nuclear and High Energy Physics 80
  • Ecological Modeling 23
  • Information Systems 106
  • Astronomy and Astrophysics 62
Replace D. A. Aruliah with:
D. A. Aruliah Canada
Dan Stanzione United States
M. Ryleigh Davis United States
Matt Lebofsky United States
Galen Shipman United States
T. Head United States
Jacob T. VanderPlas United States
K. D. Borne United States
Mike Folk United States
Alain Roy United States
B. M. Waugh relative to D. A. Aruliah Canada D. A. Aruliah's profile →
Citations per field
00.5×4.2×
D. A. Aruliah · 1×
Citations per year

Countries citing papers authored by B. M. Waugh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 22 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.

Border = papers with B. M. Waugh Line = papers co-authored together B. M. Waugh links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Best Practices for Scientific Computing
Hit paper breakdown →
2014400
2 198653
3 202123
4 20065
5 19960

About B. M. Waugh

B. M. Waugh is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 5 papers that have together received 481 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Particle physics theoretical and experimental studies (3 papers), Scientific Computing and Data Management (1 paper), Advanced Differential Geometry Research (1 paper), Black Holes and Theoretical Physics (1 paper), Cosmology and Gravitation Theories (1 paper), Particle Detector Development and Performance (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Information Systems and Management (146 citations), Nuclear and High Energy Physics (80 citations), Ecological Modeling (23 citations), Information Systems (106 citations) and Astronomy and Astrophysics (62 citations). B. M. Waugh has collaborated with scholars based in Canada, United Kingdom and Germany. Frequent co-authors include D. A. Aruliah, Steven H. D. Haddock, Neil Chue Hong, Ian M. Mitchell, Greg Wilson, Richard Guy, Kathryn Huff, Paul Wilson, M. Ryleigh Davis and C. Titus Brown. Their work appears in journals such as IEEE Transactions on Nuclear Science, SciPost Physics Core, PLoS Biology, arXiv (Cornell University) and Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields.

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.

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