Ariel Starr

1.5k citations
32 papers · 999 · h-index 17

Impact in

Papers in

Ariel Starr

32 papers receiving 963 citations

Peers

Ariel Starr
Comparison fields: 5 of 84
  • Statistics and Probability 562
  • Sensory Systems 128
  • Developmental and Educational Psychology 349
  • Cognitive Neuroscience 376
  • Education 431
Replace Roberto Arrighi with:
Roberto Arrighi Italy
Aliette Lochy Belgium
Jane Hornickel United States
Jarmo A. Hämäläinen Finland
Alix Seigneuric France
Titia L. van Zuijen Netherlands
Martina Huss United Kingdom
Adam Tierney United Kingdom
Sophie Donnadieu France
Elliot Freeman United Kingdom
Ariel Starr relative to Roberto Arrighi Italy Roberto Arrighi's profile →
Citations per field
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Roberto Arrighi · 1×
Citations per year

Countries citing papers authored by Ariel Starr

Since Specialization
Citations

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

Fields of papers citing papers by Ariel Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013266
2 197670
3 201166
4 201760
5 201858
6 201352
7 200951
8 196846
9 197639
10 201334
11 197030
12 201828
13 202024
14 201724
15 202122
16 201620
17 202218
18 201516
19 201814
20 202011

About Ariel Starr

Ariel Starr is a scholar working on Statistics and Probability, Cognitive Neuroscience, Education, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 32 papers that have together received 999 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (14 papers), Mathematics Education and Teaching Techniques (10 papers), Child and Animal Learning Development (6 papers), Neural and Behavioral Psychology Studies (5 papers), Education Methods and Practices (4 papers), Categorization, perception, and language (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Reading and Literacy Development (3 papers). The work is most often cited by research in Statistics and Probability (562 citations), Sensory Systems (128 citations), Developmental and Educational Psychology (349 citations), Cognitive Neuroscience (376 citations) and Education (431 citations). Ariel Starr has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Elizabeth M. Brannon, Melissa E. Libertus, Richard H. Britt, Darko Odic, Mahesh Srinivasan, Nicholas K. DeWind, Silvia A. Bunge, Hilary Barth, Jessica Sullivan and Michael S. Vendetti. Their work appears in journals such as Journal of Neurophysiology, Cognition, Frontiers in Psychology, Psychophysiology and Developmental Psychology.

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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