Uncertainty Reduction Techniques
Uncertainty Reduction Techniques is a systematic methodological framework designed to identify, quantify, and mitigate representational and analytical ambiguities in network visualizations through targeted algorithmic or visual adaptations that enhance data fidelity and user interpretability.
285
Publications
16.9K
Citations
812
Authors
428
Institutions
Publications per year
2017–2026
88
285
A survey of galaxy redshifts. I - Data reduction techniques
J. Tonry, M. Davis · The Astronomical Journal · 1979 · 1.5K citations
Natural Sciences, Astronomy, Physics +14
UltraVISTA: a new ultra-deep near-infrared survey in COSMOS
Astronomy and Astrophysics · 2012 · 819 citations · Full text
Natural Sciences, Astronomy, Physics +17
1–5 of 285
812
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h-index
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428

Centre National de la Recherche Scientifique
Paris, France
9 h-index
28 publications
9.8K citations
Arizona State University
Tempe, United States
7 h-index
12 publications
619 citations
University of Michigan
Ann Arbor, United States
5 h-index
11 publications
993 citations
University of Maryland, College Park
College Park, United States
5 h-index
8 publications
160 citations

University of Amsterdam
Amsterdam, The Netherlands
5 h-index
12 publications
1.5K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
4 h-index
15 publications
768 citations
CentraleSupélec
Gif-sur-Yvette, France
4 h-index
5 publications
132 citations
Leiden University
Leiden, The Netherlands
4 h-index
8 publications
2.5K citations
1–8 of 428
5 publications · 100 citations
5
h-index
4 publications · 67 citations
4
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3 publications · 101 citations
3
h-index
CR · 3 publications · 562 citations
3
h-index
3 publications · 162 citations
3
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1–5