James A. Dixon

4.3k citations
91 papers · 2.9k indexed · h-index 30
Topics
Child and Animal Learning Development (18 papers)Neural dynamics and brain function (17 papers)Cognitive and developmental aspects of mathematical skills (12 papers)

In The Last Decade

James A. Dixon

91 papers receiving 2.7k citations

Peers

James A. Dixon
Comparison fields: 5 of 151
  • Cognitive Neuroscience 1.2k
  • Developmental and Educational Psychology 969
  • Experimental and Cognitive Psychology 643
  • Social Psychology 390
  • Economics and Econometrics 384
Replace Guy C. Van Orden with:
Guy C. Van Orden United States
Maartje E. J. Raijmakers Netherlands
Christopher T. Kello United States
John G. Holden United States
Cees van Leeuwen Japan
D. J. K. Mewhort Canada
Edward Vul United States
Jacob Feldman United States
Mary K. Kaiser United States
Daniel Mirman United States
James A. Dixon relative to Guy C. Van Orden United States Guy C. Van Orden's profile →
Citations per field
00.5×1.5×2.5×
Guy C. Van Orden · 1×
Citations per year

Countries citing papers authored by James A. Dixon

Since Specialization
Citations

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

Fields of papers citing papers by James A. Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Dixon. 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 James A. Dixon. The network helps show where James A. Dixon may publish in the future.

Co-authorship network of co-authors of James A. Dixon

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Dixon. A scholar is included among the top collaborators of James A. Dixon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James A. Dixon. James A. Dixon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 9
3 34
4 37
5 43
6 49
7 47
8 12
9 38
10 79
11 27
12 33
13 16
14 108
15 380
16 11
17 5
18 11
19 4
20 7

About James A. Dixon

James A. Dixon is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Statistics and Probability, having authored 91 papers that have together received 2.9k indexed citations. Recurring topics across this work include Child and Animal Learning Development (18 papers), Neural dynamics and brain function (17 papers) and Cognitive and developmental aspects of mathematical skills (12 papers). The work is most often cited by research in Developmental and Educational Psychology (969 citations), Cognitive Neuroscience (1.2k citations) and Experimental and Cognitive Psychology (643 citations). James A. Dixon has collaborated with scholars based in United States, Netherlands and Ireland. Frequent co-authors include Damian G. Kelty‐Stephen, James S. Magnuson, Daniel Mirman, Colleen F. Moore, Wim Pouw, Ashley S. Bangert, Dilip Kondepudi, Michael K. Tanenhaus, Richard Ν. Aslin and Rebecca Boncoddo. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Physical Chemistry B.

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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