Anna Shusterman

1.3k citations
20 papers · 690 · h-index 12

Impact in

Papers in

Anna Shusterman

18 papers receiving 666 citations

Peers

Anna Shusterman
Comparison fields: 5 of 85
  • Developmental and Educational Psychology 324
  • Statistics and Probability 210
  • Automotive Engineering 193
  • Experimental and Cognitive Psychology 178
  • Cognitive Neuroscience 154
Replace H. Moriah Sokolowski with:
H. Moriah Sokolowski Canada
Shannon M. Pruden United States
Jeanne L. Shinskey United States
Leon K. Miller United States
Sue E. Antell United States
Shannon Ross‐Sheehy United States
William E. Merriman United States
Lisa Gershkoff‐Stowe United States
Danielle Matthews United Kingdom
Horst Krist Germany
Anna Shusterman relative to H. Moriah Sokolowski Canada H. Moriah Sokolowski's profile →
Citations per field
00.5×
H. Moriah Sokolowski · 1×
Citations per year

Countries citing papers authored by Anna Shusterman

Since Specialization
Citations

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

Fields of papers citing papers by Anna Shusterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200692
2 201089
3 200980
4 201668
5 201162
6 201557
7 200851
8 201740
9 201634
10 201831
11 201227
12 201421
13 201710
14 20219
15
A 6-Month Longitudinal Study on Numerical Estimation in Preschoolers
20168
16 20225
17 20195
18 20151
19 20250
20 20230

About Anna Shusterman

Anna Shusterman is a scholar working on Developmental and Educational Psychology, Statistics and Probability, Education, Cognitive Neuroscience and Automotive Engineering, having authored 20 papers that have together received 690 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (9 papers), Mathematics Education and Teaching Techniques (6 papers), Child and Animal Learning Development (6 papers), Categorization, perception, and language (4 papers), Reading and Literacy Development (4 papers), Spatial Cognition and Navigation (4 papers), Education Methods and Practices (3 papers) and Hearing Impairment and Communication (2 papers). The work is most often cited by research in Developmental and Educational Psychology (324 citations), Statistics and Probability (210 citations), Automotive Engineering (193 citations), Experimental and Cognitive Psychology (178 citations) and Cognitive Neuroscience (154 citations). Anna Shusterman has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Elizabeth S. Spelke, Sang Ah Lee, Lauren D. Feld, Emily Slusser, Nancy J. Keuthen, Lee Baer, Jennie Pyers, Ann Senghas, Karen Emmorey and Justin Halberda. Their work appears in journals such as Developmental Science, Quarterly Journal of Experimental Psychology, Cognition, Open Mind and Child Development.

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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