Jaclyn M. Dynia

63 total papers · 1.2k total citations
48 papers, 785 citations indexed

About

Jaclyn M. Dynia is a scholar working on Education, Developmental and Educational Psychology and Clinical Psychology. According to data from OpenAlex, Jaclyn M. Dynia has authored 48 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Education, 22 papers in Developmental and Educational Psychology and 17 papers in Clinical Psychology. Recurrent topics in Jaclyn M. Dynia's work include Early Childhood Education and Development (17 papers), Reading and Literacy Development (17 papers) and Child Development and Digital Technology (16 papers). Jaclyn M. Dynia is often cited by papers focused on Early Childhood Education and Development (17 papers), Reading and Literacy Development (17 papers) and Child Development and Digital Technology (16 papers). Jaclyn M. Dynia collaborates with scholars based in United States, Canada and China. Jaclyn M. Dynia's co-authors include Laura M. Justice, Jessica A. R. Logan, Ying Guo, Joan N. Kaderavek, Matthew E. Brock, Christina Yeager Pelatti, Rebecca A. Dore, Randi A. Bates, Kathy Lawton and Shayne B. Piasta and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Journal of Autism and Developmental Disorders.

In The Last Decade

Jaclyn M. Dynia

45 papers receiving 752 citations

Author Peers

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

Author						Papers	Cites
Jaclyn M. Dynia	470	413	196	183	67	48	785
Eleanor L. Higgins	440 0.9×	429 1.0×	178 0.9×	80 0.4×	37 0.6×	19	910
Cheryl A. Utley	556 1.2×	450 1.1×	188 1.0×	98 0.5×	31 0.5×	37	841
Melody Terras	359 0.8×	270 0.7×	127 0.6×	137 0.7×	118 1.8×	31	808
Michael Faggella‐Luby	360 0.8×	433 1.0×	108 0.6×	105 0.6×	21 0.3×	36	741
Hui Jiang	359 0.8×	309 0.7×	171 0.9×	61 0.3×	24 0.4×	48	635
Michael A. R. Townsend	375 0.8×	328 0.8×	128 0.7×	88 0.5×	26 0.4×	46	855
María Fernanda Páramo Fernández	352 0.7×	291 0.7×	134 0.7×	60 0.3×	60 0.9×	44	783
Tomas Tjus	226 0.5×	456 1.1×	156 0.8×	337 1.8×	25 0.4×	36	832
Benjamin Lignugaris Kraft	452 1.0×	448 1.1×	128 0.7×	127 0.7×	43 0.6×	28	854
Virginia Tompkins	431 0.9×	530 1.3×	142 0.7×	132 0.7×	20 0.3×	28	827

Countries citing papers authored by Jaclyn M. Dynia

Since Specialization

Citations

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

Fields of papers citing papers by Jaclyn M. Dynia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaclyn M. Dynia. 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 Jaclyn M. Dynia. The network helps show where Jaclyn M. Dynia may publish in the future.

Co-authorship network of co-authors of Jaclyn M. Dynia

This figure shows the co-authorship network connecting the top 25 collaborators of Jaclyn M. Dynia. A scholar is included among the top collaborators of Jaclyn M. Dynia 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 Jaclyn M. Dynia. Jaclyn M. Dynia 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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