Seeding Strategies
Seeding Strategies is a methodological framework in flow visualization that determines the initial placement and distribution of seed points for generating pathlines, distinguishing itself by systematically influencing the coverage, accuracy, and interpretability of the resulting visual representation.
173
Publications
11.1K
Citations
799
Authors
291
Institutions
Publications per year
2017–2026
44
Parents
173
Is mutation an appropriate tool for testing experiments?
James H. Andrews, Lionel Briand, Yvan Labiche · 2005 · 787 citations
Seeding Strategies for Viral Marketing: An Empirical Comparison
Oliver Hinz, Bernd Skiera, Christian Barrot et al. · Journal of Marketing · 2011 · 670 citations
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291
University of Cambridge
Cambridge, United Kingdom
5 h-index
27 publications
2.6K citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
9 publications
1K citations

Western University
London, Canada
4 h-index
7 publications
2.1K citations
University of California, Santa Cruz
Santa Cruz, United States
4 h-index
6 publications
440 citations

Ames Research Center
Mountain View, United States
4 h-index
4 publications
323 citations

Agricultural Research Service
Washington, United States
3 h-index
4 publications
169 citations

McGill University
Montreal, Canada
3 h-index
6 publications
181 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
6 publications
104 citations
1–8 of 291
5 publications · 195 citations
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TVCG · 4 publications · 238 citations
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3 publications · 74 citations
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REM · 3 publications · 105 citations
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3 publications · 80 citations
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