Gitit Kavé

2.5k citations
74 papers · 1.9k · h-index 25

Impact in

Papers in

Gitit Kavé

71 papers receiving 1.7k citations

Peers

Gitit Kavé
Comparison fields: 5 of 94
  • Neuropsychology and Physiological Psychology 110
  • Cognitive Neuroscience 904
  • Developmental and Educational Psychology 601
  • Psychiatry and Mental health 359
  • Experimental and Cognitive Psychology 263
Replace Lori E. James with:
Lori E. James United States
Anik De Ribaupierre Switzerland
Sujin Yang South Korea
Julie L. K. Earles United States
Francesca M. Bosco Italy
Paola Palladino Italy
Sally J. Wadsworth United States
Marcel O. Pontón United States
Victoria J. Molfese United States
Juan Hernández Spain
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Citations per field
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Citations per year

Countries citing papers authored by Gitit Kavé

Since Specialization
Citations

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

Fields of papers citing papers by Gitit Kavé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008186
2 2005154
3 201679
4 200878
5 200377
6 201076
7 200465
8 201564
9 201056
10 200655
11 201752
12 200951
13 201650
14 201549
15 200947
16 201142
17 201741
18 201840
19 201437
20 201931

About Gitit Kavé

Gitit Kavé is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Psychiatry and Mental health, Neuropsychology and Physiological Psychology and Experimental and Cognitive Psychology, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (28 papers), Language Development and Disorders (22 papers), Reading and Literacy Development (19 papers), Dementia and Cognitive Impairment Research (18 papers), Child and Animal Learning Development (7 papers), Aging and Gerontology Research (7 papers), Memory Processes and Influences (4 papers) and Language, Metaphor, and Cognition (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (110 citations), Cognitive Neuroscience (904 citations), Developmental and Educational Psychology (601 citations), Psychiatry and Mental health (359 citations) and Experimental and Cognitive Psychology (263 citations). Gitit Kavé has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Mira Goral, Yonata Levy, Ariel Knafo‐Noam, Nitza Eyal, Jiska Cohen‐Mansfield, Vered Halamish, Dov Shmotkin, Amit Shrira, Yuval Palgi and Ayelet Dassa. Their work appears in journals such as Psychology and Aging, The Journals of Gerontology Series B, Journal of Clinical and Experimental Neuropsychology, Aging Neuropsychology and Cognition and Journal of Speech Language and Hearing Research.

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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