Annotation Evaluation
Annotation Evaluation is a scholarly contribution in visualization research that constitutes a systematic method or framework for assessing the effectiveness, accuracy, or impact of annotations in conveying information, enhancing comprehension, or supporting user tasks within visual displays.
34
Publications
1.2K
Citations
137
Authors
63
Institutions
Publications per year
2017–2026
6
Parents
34
Ricardo Usbeck, Michael Röder, Axel-Cyrille Ngonga Ngomo et al. · 2015 · 191 citations · Full text
Labelling instructions matter in biomedical image analysis
Tim Rädsch, Annika Reinke, Vivienn Weru et al. · Nature Machine Intelligence · 2023 · 81 citations · Full text
1–5 of 34
137
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 137
63
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
212 citations
Université de Lille
Lille, France
2 h-index
2 publications
59 citations

University of Louisville
Louisville, United States
2 h-index
4 publications
206 citations

Sapienza University of Rome
Rome, Italy
2 h-index
4 publications
410 citations
Mitre (United States)
Bedford, United States
2 h-index
4 publications
59 citations
University of Southern California
Los Angeles, United States
1 h-index
3 publications
75 citations

University of Auckland
Auckland, New Zealand
1 h-index
5 publications
90 citations
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
Orsay, France
1 h-index
1 publications
26 citations
1–8 of 63
TVCG · 2 publications · 38 citations
2
h-index
1 publications · 28 citations
1
h-index
1 publications · 12 citations
1
h-index
1 publications · 44 citations
1
h-index
Repository · 1 publications · 23 citations
1
h-index
1–5