Kevin C. Moore

50 total papers · 760 total citations
32 papers, 494 citations indexed

About

Kevin C. Moore is a scholar working on Education, Statistics and Probability and Theoretical Computer Science. According to data from OpenAlex, Kevin C. Moore has authored 32 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Education, 14 papers in Statistics and Probability and 5 papers in Theoretical Computer Science. Recurrent topics in Kevin C. Moore's work include Mathematics Education and Teaching Techniques (21 papers), Science Education and Pedagogy (13 papers) and Cognitive and developmental aspects of mathematical skills (10 papers). Kevin C. Moore is often cited by papers focused on Mathematics Education and Teaching Techniques (21 papers), Science Education and Pedagogy (13 papers) and Cognitive and developmental aspects of mathematical skills (10 papers). Kevin C. Moore collaborates with scholars based in United States and Türkiye. Kevin C. Moore's co-authors include Marilyn P. Carlson, Phillip G. Clark, Jason Silverman, Amy B. Ellis, Elise Lockwood, Erik Tillema, Hwa Young Lee, Heejung Kim, C. B. Clemons and G. W. Young and has published in prestigious journals such as Journal of Applied Physics, Journal for Research in Mathematics Education and Cognition and Instruction.

In The Last Decade

Kevin C. Moore

29 papers receiving 459 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kevin C. Moore	437	262	111	57	37	32	494
Larry Sowder	353 0.8×	217 0.8×	113 1.0×	45 0.8×	57 1.5×	30	424
Al Cuoco	351 0.8×	167 0.6×	104 0.9×	51 0.9×	23 0.6×	29	439
Andrew Izsák	464 1.1×	314 1.2×	100 0.9×	63 1.1×	24 0.6×	26	540
Barbara Dougherty	381 0.9×	241 0.9×	132 1.2×	51 0.9×	17 0.5×	45	464
Timothy Fukawa-Connelly	430 1.0×	151 0.6×	132 1.2×	27 0.5×	38 1.0×	39	468
F. D. Rivera	430 1.0×	295 1.1×	102 0.9×	92 1.6×	41 1.1×	30	514
Ewa Bergqvist	361 0.8×	171 0.7×	92 0.8×	48 0.8×	41 1.1×	22	411
Gerrit Roorda	418 1.0×	161 0.6×	142 1.3×	46 0.8×	61 1.6×	17	505
Draga Vidakovic	462 1.1×	217 0.8×	114 1.0×	43 0.8×	19 0.5×	29	518
Despina A. Stylianou	443 1.0×	214 0.8×	131 1.2×	95 1.7×	57 1.5×	27	515

Countries citing papers authored by Kevin C. Moore

Since Specialization

Citations

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

Fields of papers citing papers by Kevin C. Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin C. Moore. 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 Kevin C. Moore. The network helps show where Kevin C. Moore may publish in the future.

Co-authorship network of co-authors of Kevin C. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin C. Moore. A scholar is included among the top collaborators of Kevin C. Moore 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 Kevin C. Moore. Kevin C. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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