Provenance Data Models
Provenance Data Models is a formalized framework that specifies the structure, semantics, and relationships of recorded data describing the origin, transformation, and lineage of visual artifacts in collaborative visualization environments, distinguishing it from generic data models by explicitly encoding contextual, temporal, and agent-based dependencies inherent in collaborative visual analysis processes.
140
Publications
6.2K
Citations
481
Authors
192
Institutions
Publications per year
2017–2026
34
140
Provenance for Computational Tasks: A Survey
Juliana Freire, David Koop, Emanuele Santos et al. · Computing in Science & Engineering · 2008 · 511 citations
Making database systems usable
H. V. Jagadish, Adriane Chapman, Aaron Elkiss et al. · 2007 · 246 citations
Timothy Lebo, Satya S. Sahoo, Deborah L. McGuinness et al. · Research Explorer (The University of Manchester) · 2013 · 231 citations · Full text
Khalid Belhajjame, Reza B'Far, James Cheney et al. · ePrints Soton (University of Southampton) · 2013 · 229 citations · Full text
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192
University of Southampton
Southampton, United Kingdom
11 h-index
61 publications
6.4K citations
University of Utah
Salt Lake City, United States
9 h-index
24 publications
3.4K citations
University of Oxford
Oxford, United Kingdom
5 h-index
10 publications
278 citations
University of Pennsylvania
Philadelphia, United States
4 h-index
14 publications
991 citations
Wuhan University
Wuhan, China
4 h-index
15 publications
314 citations

Universidad Politécnica de Madrid
Madrid, Spain
3 h-index
6 publications
122 citations
Goddard Space Flight Center
Greenbelt, United States
3 h-index
4 publications
159 citations
University of Southern California
Los Angeles, United States
3 h-index
5 publications
95 citations
1–8 of 192
Repository · 6 publications · 401 citations
6
h-index
5 publications · 334 citations
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5 publications · 753 citations
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FGCS · 4 publications · 93 citations
4
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2 publications · 117 citations
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