John E. Scofield

701 citations
21 papers · 428 · h-index 10

Impact in

Papers in

John E. Scofield

20 papers receiving 424 citations

Peers

John E. Scofield
Comparison fields: 5 of 83
  • Statistics and Probability 97
  • Experimental and Cognitive Psychology 99
  • Developmental and Educational Psychology 72
  • Applied Psychology 24
  • Cognitive Neuroscience 84
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Citations per year

Countries citing papers authored by John E. Scofield

Since Specialization
Citations

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

Fields of papers citing papers by John E. Scofield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Scofield. 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 John E. Scofield. The network helps show where John E. Scofield may publish in the future.

Co-authors

The 20 scholars most cited alongside John E. Scofield, 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 John E. Scofield Line = papers co-authored together John E. Scofield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018171
2 201948
3 201734
4 202032
5 202020
6 201918
7 201917
8 202015
9 201911
10 202110
11 20198
12 20218
13 20177
14
Effect Size and Confidence Interval Calculator [R package MOTE version 1.0.2]
20196
15 20096
16 20225
17 20234
18 20213
19 20193
20 20202

About John E. Scofield

John E. Scofield is a scholar working on Experimental and Cognitive Psychology, Statistics and Probability, Education, Developmental and Educational Psychology and Cognitive Neuroscience, having authored 21 papers that have together received 428 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (7 papers), Mathematics Education and Teaching Techniques (5 papers), Evolutionary Psychology and Human Behavior (4 papers), Reading and Literacy Development (4 papers), Education, Achievement, and Giftedness (3 papers), Behavioral Health and Interventions (2 papers), Memory Processes and Influences (2 papers) and Neural and Behavioral Psychology Studies (2 papers). The work is most often cited by research in Statistics and Probability (97 citations), Experimental and Cognitive Psychology (99 citations), Developmental and Educational Psychology (72 citations), Applied Psychology (24 citations) and Cognitive Neuroscience (84 citations). John E. Scofield has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Erin Michelle Buchanan, David C. Geary, Lara Nugent, Mary K. Hoard, Zehra E. Ünal, Jeffrey D. Johnson, Kristy vanMarle, Phillip K. Wood, Felicia W. Chu and Sherri M. Jones. Their work appears in journals such as Journal of Educational Psychology, Psychonomic Bulletin & Review, Archives of Sexual Behavior, Frontiers in Psychology and Evolutionary 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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