David S. Race

12 total papers · 697 total citations
8 papers, 461 citations indexed

About

David S. Race is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Psychiatry and Mental health. According to data from OpenAlex, David S. Race has authored 8 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Developmental and Educational Psychology and 2 papers in Psychiatry and Mental health. Recurrent topics in David S. Race's work include Neurobiology of Language and Bilingualism (8 papers), Reading and Literacy Development (6 papers) and Language Development and Disorders (3 papers). David S. Race is often cited by papers focused on Neurobiology of Language and Bilingualism (8 papers), Reading and Literacy Development (6 papers) and Language Development and Disorders (3 papers). David S. Race collaborates with scholars based in United States and United Kingdom. David S. Race's co-authors include Maryellen C. MacDonald, Daniel J. Acheson, Morten H. Christiansen, Argye E. Hillis, Richard Leigh, Yessenia Gomez, Cameron Davis, Andréia V. Faria, Rebecca F. Gottesman and Melissa Newhart and has published in prestigious journals such as Stroke, Neuropsychologia and Cognitive Psychology.

In The Last Decade

David S. Race

8 papers receiving 439 citations

Author Peers

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

Author						Papers	Cites
David S. Race	379	260	87	74	61	8	461
Shiro Ojima	284 0.7×	217 0.8×	59 0.7×	62 0.8×	19 0.3×	15	411
Daniel Kleinman	394 1.0×	277 1.1×	58 0.7×	111 1.5×	32 0.5×	21	440
Olessia Jouravlev	398 1.1×	260 1.0×	37 0.4×	116 1.6×	63 1.0×	23	526
Hannelore Lee-Jahnke	352 0.9×	235 0.9×	92 1.1×	66 0.9×	20 0.3×	18	448
Marco Haverkort	272 0.7×	186 0.7×	104 1.2×	131 1.8×	108 1.8×	19	480
Melody S. Berens	321 0.8×	263 1.0×	37 0.4×	87 1.2×	14 0.2×	14	513
Bruno Kohn	301 0.8×	184 0.7×	32 0.4×	71 1.0×	20 0.3×	10	448
Christian DeVita	418 1.1×	276 1.1×	27 0.3×	42 0.6×	32 0.5×	8	515
Jennifer Balogh	261 0.7×	217 0.8×	35 0.4×	52 0.7×	146 2.4×	10	442
Daragh E. Sibley	267 0.7×	317 1.2×	14 0.2×	94 1.3×	92 1.5×	15	444

Countries citing papers authored by David S. Race

Since Specialization

Citations

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

Fields of papers citing papers by David S. Race

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Race

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Race. A scholar is included among the top collaborators of David S. Race 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 David S. Race. David S. Race 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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