K. Denise Muth

42 total papers · 976 total citations
33 papers, 624 citations indexed

About

K. Denise Muth is a scholar working on Education, Developmental and Educational Psychology and Statistics and Probability. According to data from OpenAlex, K. Denise Muth has authored 33 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Education, 11 papers in Developmental and Educational Psychology and 6 papers in Statistics and Probability. Recurrent topics in K. Denise Muth's work include Mathematics Education and Teaching Techniques (8 papers), Reading and Literacy Development (7 papers) and Cognitive and developmental aspects of mathematical skills (6 papers). K. Denise Muth is often cited by papers focused on Mathematics Education and Teaching Techniques (8 papers), Reading and Literacy Development (7 papers) and Cognitive and developmental aspects of mathematical skills (6 papers). K. Denise Muth collaborates with scholars based in United States and United Kingdom. K. Denise Muth's co-authors include Shawn M. Glynn, Bruce K. Britton, Donna E. Alvermann, Karen D. Wood, Michael F. Graves, Morris A. Okun, Gerald K. LeTendre, John Miller and Laurie E. Hart and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Educational Psychology and Journal of Research in Science Teaching.

In The Last Decade

K. Denise Muth

30 papers receiving 490 citations

Author Peers

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

Author						Papers	Cites
K. Denise Muth	422	342	97	90	56	33	624
Woodrow Trathen	347 0.8×	396 1.2×	48 0.5×	78 0.9×	47 0.8×	28	575
Roel van Steensel	526 1.2×	504 1.5×	54 0.6×	38 0.4×	50 0.9×	43	749
Lorna K. S. Chan	412 1.0×	335 1.0×	96 1.0×	128 1.4×	20 0.4×	32	703
Cristina Sabena	443 1.0×	222 0.6×	132 1.4×	167 1.9×	30 0.5×	58	673
Sonya Symons	354 0.8×	524 1.5×	56 0.6×	122 1.4×	32 0.6×	24	729
Patricia Donahue	527 1.2×	385 1.1×	81 0.8×	43 0.5×	72 1.3×	23	740
Wayne Otto	324 0.8×	345 1.0×	52 0.5×	110 1.2×	33 0.6×	90	735
Sandra McCormick	376 0.9×	537 1.6×	122 1.3×	36 0.4×	27 0.5×	33	694
Amber Simpson	401 1.0×	263 0.8×	83 0.9×	81 0.9×	39 0.7×	73	709
Ithel Jones	449 1.1×	273 0.8×	107 1.1×	39 0.4×	33 0.6×	36	682

Countries citing papers authored by K. Denise Muth

Since Specialization

Citations

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

Fields of papers citing papers by K. Denise Muth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Denise Muth. 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 K. Denise Muth. The network helps show where K. Denise Muth may publish in the future.

Co-authorship network of co-authors of K. Denise Muth

This figure shows the co-authorship network connecting the top 25 collaborators of K. Denise Muth. A scholar is included among the top collaborators of K. Denise Muth 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 K. Denise Muth. K. Denise Muth 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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