Jordy Kaufman

4.3k citations
63 papers · 2.7k indexed · 2 hit papers · h-index 25
Topics
Child and Animal Learning Development (16 papers)Child Development and Digital Technology (13 papers)Face Recognition and Perception (10 papers)

In The Last Decade

Jordy Kaufman

63 papers receiving 2.5k citations

Hit Papers

Putting Education in “Educational” Apps201520262018202220152021100200300400500

Peers

Jordy Kaufman
Comparison fields: 5 of 144
  • Education 931
  • Cognitive Neuroscience 783
  • Developmental and Educational Psychology 709
  • Sociology and Political Science 542
  • Information Systems 459
Replace Charles Crook with:
Charles Crook United Kingdom
David Messer United Kingdom
C. Shawn Green United States
Tim J. Smith United Kingdom
Irene C. Mammarella Italy
Bruce D. Homer United States
Korbinian Moeller Germany
Paul Leseman Netherlands
Stella F. Lourenco United States
Gijsbert Stoet United Kingdom
Jordy Kaufman relative to Charles Crook United Kingdom Charles Crook's profile →
Citations per field
00.5×
Charles Crook · 1×
Citations per year

Countries citing papers authored by Jordy Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Jordy Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jordy Kaufman

This figure shows the co-authorship network connecting the top 25 collaborators of Jordy Kaufman. A scholar is included among the top collaborators of Jordy Kaufman 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 Jordy Kaufman. Jordy Kaufman 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 1
2 1
3 9
4 32
5 77
6 8
7 32
8 4
9 9
10 115
11 5
12 20
13 20
14 6
15 28
16 117
17 23
18 65
19 31
20 388

About Jordy Kaufman

Jordy Kaufman is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Human-Computer Interaction, having authored 63 papers that have together received 2.7k indexed citations. Recurring topics across this work include Child and Animal Learning Development (16 papers), Child Development and Digital Technology (13 papers) and Face Recognition and Perception (10 papers). The work is most often cited by research in Developmental and Educational Psychology (709 citations), Human-Computer Interaction (274 citations) and Cognitive Neuroscience (783 citations). Jordy Kaufman has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Scott A. Huettel, Noah J. Sandstrom, Mark H. Johnson, Roberta Michnick Golinkoff, Kathy Hirsh‐Pasek, James H. Gray, Michael B. Robb, Jennifer M. Zosh, Paola Araiza-Alba and Therese Keane. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and SHILAP Revista de lepidopterología.

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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