Approximate Number Recognition
Approximate Number Recognition is a computational method in the field of numeral recognition that enables the estimation of numerical quantities without exact symbolic representation, distinguishing itself by relying on analogical or perceptual magnitude processing rather than precise digit classification.
140
Publications
11.9K
Citations
318
Authors
188
Institutions
Publications per year
2017–2026
56
Parents
140
Newborn infants perceive abstract numbers
Véronique Izard, Coralie Sann, Elizabeth S. Spelke et al. · Proceedings of the National Academy of Sciences · 2009 · 786 citations · Full text
Education, Neuroscience, Psychology +17
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188

Johns Hopkins University
Baltimore, United States
22 h-index
57 publications
9.9K citations

University of British Columbia
Vancouver, Canada
9 h-index
11 publications
516 citations
Loughborough University
Loughborough, United Kingdom
8 h-index
20 publications
2.8K citations
Duke University
Durham, United States
8 h-index
15 publications
1.2K citations
KU Leuven
Leuven, Belgium
8 h-index
14 publications
1.2K citations
University of Pittsburgh
Pittsburgh, United States
7 h-index
9 publications
317 citations

University of Trento
Trento, Italy
7 h-index
18 publications
1.5K citations

University of Padua
Padua, Italy
5 h-index
9 publications
496 citations
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17 publications · 593 citations
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14 publications · 1.5K citations
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10 publications · 1.4K citations
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JECP · 8 publications · 498 citations
8
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6 publications · 350 citations
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