Virginia Frisk

20 total papers · 915 total citations
18 papers, 725 citations indexed

About

Virginia Frisk is a scholar working on Pediatrics, Perinatology and Child Health, Developmental and Educational Psychology and Cognitive Neuroscience. According to data from OpenAlex, Virginia Frisk has authored 18 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pediatrics, Perinatology and Child Health, 6 papers in Developmental and Educational Psychology and 5 papers in Cognitive Neuroscience. Recurrent topics in Virginia Frisk's work include Infant Development and Preterm Care (8 papers), Neonatal and fetal brain pathology (5 papers) and Reading and Literacy Development (4 papers). Virginia Frisk is often cited by papers focused on Infant Development and Preterm Care (8 papers), Neonatal and fetal brain pathology (5 papers) and Reading and Literacy Development (4 papers). Virginia Frisk collaborates with scholars based in Canada, New Caledonia and Qatar. Virginia Frisk's co-authors include Brenda Milner, Lorna S. Jakobson, Hilary Whyte, Andrea Downie, Rhonda Amsel, Daniel Trachsel, Karel O’Brien, Sharon Unger, Samuel S. Newton and Margot J. Taylor and has published in prestigious journals such as Neuropsychologia, Psychophysiology and Pediatric Research.

In The Last Decade

Virginia Frisk

18 papers receiving 685 citations

Author Peers

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

Author						Papers	Cites
Virginia Frisk	327	309	140	128	114	18	725
Heather M. O’Leary	521 1.6×	192 0.6×	115 0.8×	71 0.6×	42 0.4×	20	834
Lynn Chapieski	133 0.4×	288 0.9×	101 0.7×	247 1.9×	67 0.6×	19	659
Benjamin R. Morgan	474 1.4×	265 0.9×	112 0.8×	211 1.6×	40 0.4×	35	892
Sarah Raz	267 0.8×	305 1.0×	165 1.2×	219 1.7×	39 0.3×	37	745
Jane Holmes Bernstein	218 0.7×	195 0.6×	152 1.1×	210 1.6×	208 1.8×	29	812
Elizabeth Fagan	264 0.8×	69 0.2×	73 0.5×	137 1.1×	47 0.4×	18	686
Päivi Nevalainen	461 1.4×	410 1.3×	101 0.7×	158 1.2×	65 0.6×	46	810
Danielle Weinberg	255 0.8×	55 0.2×	133 0.9×	269 2.1×	60 0.5×	28	866
Henrica M. A. de Bie	346 1.1×	218 0.7×	63 0.5×	58 0.5×	29 0.3×	10	692
Hanne Baillieux	250 0.8×	173 0.6×	28 0.2×	88 0.7×	58 0.5×	12	777

Countries citing papers authored by Virginia Frisk

Since Specialization

Citations

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

Fields of papers citing papers by Virginia Frisk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Frisk

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