Jyotsna Vaid

4.4k citations
93 papers · 2.4k · h-index 28

Impact in

Papers in

Jyotsna Vaid

92 papers receiving 2.2k citations

Peers

Jyotsna Vaid
Comparison fields: 5 of 117
  • Developmental and Educational Psychology 1.1k
  • Cognitive Neuroscience 1.3k
  • Experimental and Cognitive Psychology 756
  • Language and Linguistics 300
  • Statistics and Probability 200
Replace Michael Ramscar with:
Michael Ramscar Germany
Hsuan-Chih Chen Hong Kong
Laurie A. Stowe Netherlands
São Luís Castro Portugal
Markus Conrad Germany
Mutsumi Imai Japan
Evan Kidd Australia
Murray Singer Canada
Daniela K. O’Neill Canada
Kim Kirsner Australia
Jyotsna Vaid relative to Michael Ramscar Germany Michael Ramscar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jyotsna Vaid

Since Specialization
Citations

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

Fields of papers citing papers by Jyotsna Vaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jyotsna Vaid, 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 Jyotsna Vaid Line = papers co-authored together Jyotsna Vaid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997347
2 2007142
3 1989101
4 199296
5 198988
6 198673
7 201169
8 200664
9 200264
10 198060
11 198856
12 199355
13 197954
14 200349
15 198249
16 200546
17 201545
18 200241
19 200941
20 200240

About Jyotsna Vaid

Jyotsna Vaid is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Social Psychology and Language and Linguistics, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (32 papers), Language, Metaphor, and Cognition (23 papers), Reading and Literacy Development (20 papers), Hemispheric Asymmetry in Neuroscience (18 papers), Spatial Neglect and Hemispheric Dysfunction (10 papers), Second Language Acquisition and Learning (8 papers), Cognitive and developmental aspects of mathematical skills (8 papers) and Categorization, perception, and language (7 papers). The work is most often cited by research in Developmental and Educational Psychology (1.1k citations), Cognitive Neuroscience (1.3k citations), Experimental and Cognitive Psychology (756 citations), Language and Linguistics (300 citations) and Statistics and Probability (200 citations). Jyotsna Vaid has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Rachel Hull, Thomas B. Ward, Steven M. Smith, Hsin‐Chin Chen, Cheryl Frenck‐Mestre, Maharaj Singh, David P. Corina, Ursula Bellugi, Ashum Gupta and Fred Genesee. Their work appears in journals such as Brain and Language, Brain and Cognition, Neuropsychologia, Bilingualism Language and Cognition and Psychonomic Bulletin & Review.

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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