Stephen Dopkins

83 total papers · 634 total citations
48 papers, 462 citations indexed

About

Stephen Dopkins is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Stephen Dopkins has authored 48 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 23 papers in Developmental and Educational Psychology and 13 papers in Social Psychology. Recurrent topics in Stephen Dopkins's work include Child and Animal Learning Development (16 papers), Memory Processes and Influences (15 papers) and Neurobiology of Language and Bilingualism (10 papers). Stephen Dopkins is often cited by papers focused on Child and Animal Learning Development (16 papers), Memory Processes and Influences (15 papers) and Neurobiology of Language and Bilingualism (10 papers). Stephen Dopkins collaborates with scholars based in United States and Canada. Stephen Dopkins's co-authors include Celia M. Klin, Jerome L. Myers, Jesse Sargent, Catherine Ngo, John W. Philbeck, Richard Kovner, David Chichka, Erich Goldmeier, Jill B. Rich and Jason Brandt and has published in prestigious journals such as Journal of Experimental Psychology Learning Memory and Cognition, Journal of Memory and Language and Memory & Cognition.

In The Last Decade

Stephen Dopkins

42 papers receiving 424 citations

Author Peers

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

Author						Papers	Cites
Stephen Dopkins	304	247	132	62	56	48	462
Buddhika Bellana	398 1.3×	134 0.5×	81 0.6×	26 0.4×	26 0.5×	17	502
M. Helen Southwood	194 0.6×	93 0.4×	202 1.5×	51 0.8×	11 0.2×	19	406
Alena G. Esposito	149 0.5×	267 1.1×	101 0.8×	22 0.4×	15 0.3×	26	415
Keith N. Clayton	162 0.5×	158 0.6×	73 0.6×	46 0.7×	16 0.3×	33	466
Melissa E. Meade	222 0.7×	103 0.4×	157 1.2×	23 0.4×	18 0.3×	17	407
Marı́a José Pérez-Fabello	173 0.6×	129 0.5×	256 1.9×	11 0.2×	45 0.8×	59	544
Laura K. Halderman	260 0.9×	189 0.8×	62 0.5×	25 0.4×	22 0.4×	18	502
Dianne Bradley	394 1.3×	339 1.4×	191 1.4×	68 1.1×	21 0.4×	15	539
Daniel B. Kaye	138 0.5×	258 1.0×	185 1.4×	41 0.7×	13 0.2×	23	483
Kenneth C. Scott-Brown	272 0.9×	173 0.7×	72 0.5×	32 0.5×	12 0.2×	29	423

Countries citing papers authored by Stephen Dopkins

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Dopkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Dopkins

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Dopkins. A scholar is included among the top collaborators of Stephen Dopkins 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 Stephen Dopkins. Stephen Dopkins 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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