Ron Good

1.8k citations
62 papers · 1.3k · h-index 16

Impact in

    • Evolution and Science Education
  • Education top 0.5%
    • Science Education and Pedagogy
    • Mathematics Education and Teaching Techniques
    • Chemistry Education and Research
    • STEM Education
    • Educational Methods and Outcomes

Papers in

Ron Good

58 papers receiving 1.1k citations

Peers

Ron Good
Comparison fields: 5 of 70
  • History and Philosophy of Science 302
  • Education 949
  • Developmental and Educational Psychology 82
  • Experimental and Cognitive Psychology 54
  • Computer Science Applications 14
Replace Lawrence C. Scharmann with:
Lawrence C. Scharmann United States
Edmund A. Marek United States
Michael P. Clough United States
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Alandeom W. Oliveira United States
Lama Ziad Jaber United States
Keith B. Lucas Australia
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Ann M. L. Cavallo United States
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Citations per field
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Citations per year

Countries citing papers authored by Ron Good

Since Specialization
Citations

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

Fields of papers citing papers by Ron Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ron Good, 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 Ron Good Line = papers co-authored together Ron Good links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995162
2 1995147
3 2000118
4 1989102
5 199699
6 198490
7 199161
8 198851
9 199248
10 199045
11 200136
12 198730
13 198527
14 198126
15 200123
16 198319
17 197816
18 199515
19 200313
20 197912

About Ron Good

Ron Good is a scholar working on Education, History and Philosophy of Science, Statistics, Probability and Uncertainty, Developmental and Educational Psychology and Statistics and Probability, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Science Education and Pedagogy (44 papers), Evolution and Science Education (6 papers), Educational Research and Methods (5 papers), Meta-analysis and systematic reviews (4 papers), Statistics Education and Methodologies (3 papers), Academic Writing and Publishing (2 papers), Behavioral and Psychological Studies (2 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). The work is most often cited by research in History and Philosophy of Science (302 citations), Education (949 citations), Developmental and Educational Psychology (82 citations), Experimental and Cognitive Psychology (54 citations) and Computer Science Applications (14 citations). Ron Good has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Sherry S. Demastes, Pang Jeongsuk, James A. Shymansky, John Settlage, Mike U. Smith, Robert A. Kromhout, Larry D. Yore, Harold J. Fletcher, Anton E. Lawson and John W. Renner. Their work appears in journals such as Journal of Research in Science Teaching, Science Education, School Science and Mathematics, Educational Researcher and Science & Education.

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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