David Kirshner

1.5k citations
23 papers · 628 · h-index 12

Impact in

Papers in

David Kirshner

19 papers receiving 528 citations

Peers

David Kirshner
Comparison fields: 5 of 91
  • Statistics and Probability 183
  • Developmental and Educational Psychology 210
  • Human Factors and Ergonomics 36
  • Theoretical Computer Science 15
  • Education 363
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Citations per year

Countries citing papers authored by David Kirshner

Since Specialization
Citations

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

Fields of papers citing papers by David Kirshner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside David Kirshner, 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 David Kirshner Line = papers co-authored together David Kirshner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201086
2 200185
3 200476
4 198974
5 200069
6 199852
7 198945
8
Bears: Majestic Creatures of the Wild
199232
9 199831
10 201319
11 200215
12 201013
13 201010
14 20216
15 19985
16 20203
17
Proceedings of the Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (16th, Baton Rouge, Louisiana, November 5-8, 1994). Volume 2: Research Papers, Oral Reports, and Posters (Continued).
19943
18 20091
19 20101
20
Proceedings of the Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (16th, Baton Rouge, Louisiana, November 5-8, 1994). Volume 1: Plenary Sessions, Technology Focus Groups, Discussion Groups and Research Papers, Oral Reports and Posters.
19941

About David Kirshner

David Kirshner is a scholar working on Education, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Human Factors and Ergonomics and Safety Research, having authored 23 papers that have together received 628 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (9 papers), Innovative Teaching and Learning Methods (8 papers), Teacher Education and Leadership Studies (3 papers), Innovative Education and Learning Practices (2 papers), Visual and Cognitive Learning Processes (2 papers), Cognitive and developmental aspects of mathematical skills (2 papers), Educational Tools and Methods (2 papers) and Educator Training and Historical Pedagogy (1 paper). The work is most often cited by research in Statistics and Probability (183 citations), Developmental and Educational Psychology (210 citations), Human Factors and Ergonomics (36 citations), Theoretical Computer Science (15 citations) and Education (363 citations). David Kirshner has collaborated with scholars based in United States. Frequent co-authors include Lyn D. English, Sasha A. Barab, James Anthony Whitson, Ian Stirling, Frank H. Knight, Donald J. Cunningham, Kimberlee Gauvreau, Lisa Bergersen, Doff B. McElhinney and Audrey C. Marshall. Their work appears in journals such as Journal for Research in Mathematics Education, Educational Researcher, Journal of the Learning Sciences, PEDIATRICS and Civil War Book Review.

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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