Jyotsna Vaid
- Cognitive Neuroscience top 1%
- Developmental and Educational Psychology top 1%
- Experimental and Cognitive Psychology top 1%
- Social Psychology top 5%
- Language and Linguistics top 2%
- Co-authors
- Rachel HullThomas B. WardSteven M. SmithHsin‐Chin ChenCheryl Frenck‐MestreMaharaj SinghDavid P. CorinaUrsula Bellugi
- Topics
- Neurobiology of Language and Bilingualism (32 papers)Language, Metaphor, and Cognition (23 papers)Reading and Literacy Development (20 papers)
- Cited by
- Developmental and Educational PsychologyCognitive NeuroscienceExperimental and Cognitive Psychology
- Partner nations
- United StatesIndiaTaiwan
In The Last Decade
Jyotsna Vaid
91 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 1.3k
- Developmental and Educational Psychology 1.1k
- Experimental and Cognitive Psychology 761
- Social Psychology 369
- Language and Linguistics 300
Countries citing papers authored by Jyotsna Vaid
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
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-authorship network of co-authors of Jyotsna Vaid
This figure shows the co-authorship network connecting the top 25 collaborators of Jyotsna Vaid. A scholar is included among the top collaborators of Jyotsna Vaid 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 Jyotsna Vaid. Jyotsna Vaid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 34 | |
| 5 | 20 | |
| 6 | 5 | |
| 7 | Language Brokering Experience Affects Phrase Interpretation and Sound Segmentation: Evidence from Spanish-English Bilinguals | 1 |
| 8 | Graded Category Structure in Chinese-English Bilinguals | 1 |
| 9 | 142 | |
| 10 | 18 | |
| 11 | 64 | |
| 12 | Divergence and overlap in bilingual concept representations | 1 |
| 13 | 46 | |
| 14 | 41 | |
| 15 | 8 | |
| 16 | 36 | |
| 17 | 54 | |
| 18 | 40 | |
| 19 | 88 | |
| 20 | 9 |
About Jyotsna Vaid
Jyotsna Vaid is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, 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) and Reading and Literacy Development (20 papers). The work is most often cited by research in Developmental and Educational Psychology (1.1k citations), Cognitive Neuroscience (1.3k citations) and Experimental and Cognitive Psychology (761 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 Science, American Psychologist and The Journal of the Acoustical Society of America.
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.