Daphna Buchsbaum

1.4k citations
45 papers · 801 · h-index 13

Impact in

Papers in

Daphna Buchsbaum

43 papers receiving 743 citations

Peers

Daphna Buchsbaum
Comparison fields: 5 of 85
  • Developmental and Educational Psychology 393
  • General Decision Sciences 29
  • Social Psychology 311
  • Cultural Studies 93
  • Cognitive Neuroscience 173
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Citations per field
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Citations per year

Countries citing papers authored by Daphna Buchsbaum

Since Specialization
Citations

This map shows the geographic impact of Daphna Buchsbaum's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daphna Buchsbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daphna Buchsbaum more than expected).

Fields of papers citing papers by Daphna Buchsbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daphna Buchsbaum. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daphna Buchsbaum. The network helps show where Daphna Buchsbaum may publish in the future.

Co-authors

The 25 scholars most cited alongside Daphna Buchsbaum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daphna Buchsbaum Line = papers co-authored together Daphna Buchsbaum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005159
2 2011159
3 2012102
4 201438
5 201737
6 201637
7 201532
8 201630
9 200624
10 201822
11 201816
12 202115
13 202314
14 202210
15
When does the majority rule? Preschoolers’ trust in majority informants varies by task domain
20139
16
Do I know that you know what you know? Modeling testimony in causal inference
20128
17 20228
18
Can children balance the size of a majority with the quality of their information
20157
19
Segmenting and Recognizing Human Action using Low-level Video Features
20117
20 20096

About Daphna Buchsbaum

Daphna Buchsbaum is a scholar working on Developmental and Educational Psychology, Social Psychology, Cultural Studies, Artificial Intelligence and Statistics and Probability, having authored 45 papers that have together received 801 indexed citations. Recurring topics across this work include Child and Animal Learning Development (32 papers), Language and cultural evolution (10 papers), Cognitive and developmental aspects of mathematical skills (7 papers), Human-Animal Interaction Studies (6 papers), Bayesian Modeling and Causal Inference (6 papers), Language Development and Disorders (5 papers), Social Robot Interaction and HRI (4 papers) and Behavioral and Psychological Studies (3 papers). The work is most often cited by research in Developmental and Educational Psychology (393 citations), General Decision Sciences (29 citations), Social Psychology (311 citations), Cultural Studies (93 citations) and Cognitive Neuroscience (173 citations). Daphna Buchsbaum has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alison Gopnik, Thomas L. Griffiths, Bruce Blumberg, Patrick Shafto, Cynthia Breazeal, Sophie Bridgers, Jesse Gray, Deena Skolnick Weisberg, Andrew Whalen and Stephanie Denison. Their work appears in journals such as Cognitive Science, Animal Cognition, Developmental Psychology, Cognition and Philosophical Transactions of the Royal Society B Biological Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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