Laura Schulz

9.5k citations
114 papers · 5.7k · 2 hit papers · h-index 36

Impact in

Papers in

Laura Schulz

113 papers receiving 5.3k citations

Laura Schulz's Hit Papers

The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery 2011 · 442 citations
4420+7+14Years since publication200400600

Peers

Laura Schulz
Comparison fields: 5 of 131
  • Developmental and Educational Psychology 3.9k
  • General Decision Sciences 335
  • Cognitive Neuroscience 1.3k
  • Experimental and Cognitive Psychology 842
  • Social Psychology 1.2k
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Countries citing papers authored by Laura Schulz

Since Specialization
Citations

This map shows the geographic impact of Laura Schulz'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 Laura Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Schulz more than expected).

Fields of papers citing papers by Laura Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Schulz. 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 Laura Schulz. The network helps show where Laura Schulz may publish in the future.

Co-authors

The 25 scholars most cited alongside Laura Schulz, 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 Laura Schulz Line = papers co-authored together Laura Schulz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Theory of Causal Learning in Children: Causal Maps and Bayes Nets.
Hit paper breakdown →
2004705
2
The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery
Hit paper breakdown →
2011442
3 2001311
4 2007301
5 2016223
6 2011201
7 2012174
8 2007155
9 2004154
10 2010152
11 2007151
12 2008149
13 2004146
14 2006138
15 2012124
16 2006113
17 2004107
18 2017104
19 201198
20 201594

About Laura Schulz

Laura Schulz is a scholar working on Developmental and Educational Psychology, Social Psychology, Education, Cognitive Neuroscience and Artificial Intelligence, having authored 114 papers that have together received 5.7k indexed citations. Recurring topics across this work include Child and Animal Learning Development (94 papers), Early Childhood Education and Development (14 papers), Bayesian Modeling and Causal Inference (14 papers), Cognitive and developmental aspects of mathematical skills (13 papers), Psychology of Moral and Emotional Judgment (11 papers), Language and cultural evolution (10 papers), Language Development and Disorders (10 papers) and Action Observation and Synchronization (8 papers). The work is most often cited by research in Developmental and Educational Psychology (3.9k citations), General Decision Sciences (335 citations), Cognitive Neuroscience (1.3k citations), Experimental and Cognitive Psychology (842 citations) and Social Psychology (1.2k citations). Laura Schulz has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Alison Gopnik, Elizabeth Bonawitz, Hyowon Gweon, Clark Glymour, Joshua B. Tenenbaum, David M. Sobel, Noah D. Goodman, Julian Jara‐Ettinger, Tamar Kushnir and David Danks. Their work appears in journals such as Cognitive Science, Child Development, Developmental Psychology, Cognition and Trends in Cognitive 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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