Virginia Yip

3.5k citations
62 papers · 1.7k · h-index 18

Impact in

Papers in

Virginia Yip

57 papers receiving 1.5k citations

Peers

Virginia Yip
Comparison fields: 5 of 93
  • Linguistics and Language 533
  • Developmental and Educational Psychology 848
  • Language and Linguistics 670
  • Experimental and Cognitive Psychology 390
  • Cognitive Neuroscience 524
Replace Stephen Matthews with:
Stephen Matthews Hong Kong
Dorit Ravid Israel
Jürgen M. Meisel Germany
Ann M. Peters United States
Susan Foster‐Cohen New Zealand
Niclas Abrahamsson Sweden
Rosalind Thornton Australia
Robert D. Van Valin United States
Vera Kempe United Kingdom
Laura Bosch Spain
Virginia Yip relative to Stephen Matthews Hong Kong Stephen Matthews's profile →
Citations per field
00.5×1.5×
Stephen Matthews · 1×
Citations per year

Countries citing papers authored by Virginia Yip

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Virginia Yip, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Virginia Yip Line = papers co-authored together Virginia Yip links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003338
2 2000167
3 2007137
4 2013136
5 2007123
6 199287
7 200674
8 200761
9 199550
10 201149
11 200447
12 200840
13 201435
14 200932
15 198929
16 199027
17 201825
18 201722
19 199916
20 200514

About Virginia Yip

Virginia Yip is a scholar working on Developmental and Educational Psychology, Language and Linguistics, Linguistics and Language, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include Language Development and Disorders (28 papers), Multilingual Education and Policy (17 papers), Syntax, Semantics, Linguistic Variation (16 papers), Neurobiology of Language and Bilingualism (15 papers), Reading and Literacy Development (11 papers), Phonetics and Phonology Research (7 papers), Natural Language Processing Techniques (7 papers) and Linguistic Variation and Morphology (7 papers). The work is most often cited by research in Linguistics and Language (533 citations), Developmental and Educational Psychology (848 citations), Language and Linguistics (670 citations), Experimental and Cognitive Psychology (390 citations) and Cognitive Neuroscience (524 citations). Virginia Yip has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Stephen Matthews, Alice H. D. Chan, Toni L. Ceckler, Sidney A. Simon, Robert S. Balaban, Steven Wolff, Ron Elber, Jia‐Hong Gao, Li Hai Tan and Jacquelyn Schachter. Their work appears in journals such as Linguistic Approaches to Bilingualism, Studies in Second Language Acquisition, First Language, Bilingualism Language and Cognition and Autism.

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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