Ariel Starr

1.6k citations
33 papers · 1.1k · h-index 18

Impact in

Papers in

Ariel Starr

33 papers receiving 1.0k citations

Peers

Ariel Starr
Comparison fields: 5 of 85
  • Statistics and Probability 618
  • Sensory Systems 140
  • Developmental and Educational Psychology 383
  • Cognitive Neuroscience 397
  • Education 477
Replace Roberto Arrighi with:
Roberto Arrighi Italy
Jane Hornickel United States
Jarmo Arvid Hämäläinen Finland
Paul A. Johnston New Zealand
Martina Huss United Kingdom
Oana Tudusciuc Germany
Titia L. van Zuijen Netherlands
Alix Seigneuric France
Maarten J. van der Smagt Netherlands
Adam Taylor Tierney United Kingdom
Ariel Starr relative to Roberto Arrighi Italy Roberto Arrighi's profile →
Citations per field
00.5×1.5×2×2.3×
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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013286
2 197676
3 201172
4 201866
5 201362
6 201761
7 200955
8 196849
9 201341
10 197641
11 197032
12 201829
13 201727
14 202025
15 202122
16 201621
17 202218
18 201518
19 201815
20 202011

About Ariel Starr

Ariel Starr is a scholar working on Statistics and Probability, Developmental and Educational Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology and Education, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (15 papers), Mathematics Education and Teaching Techniques (11 papers), Child and Animal Learning Development (6 papers), Neural and Behavioral Psychology Studies (5 papers), Education Methods and Practices (5 papers), Categorization, perception, and language (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Language, Metaphor, and Cognition (3 papers). The work is most often cited by research in Statistics and Probability (618 citations), Sensory Systems (140 citations), Developmental and Educational Psychology (383 citations), Cognitive Neuroscience (397 citations) and Education (477 citations). Ariel Starr has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Elizabeth M. Brannon, Melissa E. Libertus, Richard H. Britt, Darko Odic, Mahesh Srinivasan, Silvia Bunge, Nicholas K. DeWind, Jessica L. Sullivan, Hilary C. Barth and Michael S. Vendetti. Their work appears in journals such as Journal of Neurophysiology, Psychophysiology, Developmental Psychology, Frontiers in Psychology and Cognition.

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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