Gitit Kavé

2.4k citations
74 papers · 1.7k · h-index 25

Impact in

Papers in

Gitit Kavé

70 papers receiving 1.6k citations

Peers

Gitit Kavé
Comparison fields: 5 of 92
  • Neuropsychology and Physiological Psychology 100
  • Cognitive Neuroscience 860
  • Developmental and Educational Psychology 562
  • Psychiatry and Mental health 343
  • Experimental and Cognitive Psychology 249
Replace Anik De Ribaupierre with:
Anik De Ribaupierre Switzerland
Lori E. James United States
Tannis Y. Arbuckle Canada
Judith A. Hosie United Kingdom
Clayton Culver United States
Sanda Dolcos United States
Steve M. J. Janssen Malaysia
David Huepe Chile
Esmeralda Matute Mexico
Sujin Yang South Korea
Gitit Kavé relative to Anik De Ribaupierre Switzerland Anik De Ribaupierre's profile →
Citations per field
00.5×2.7×
Anik De Ribaupierre · 1×
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 2008152
2 2005149
3 200877
4 200372
5 200463
6 201559
7 200655
8 201055
9 201651
10 201751
11 201050
12 201649
13 200947
14 201546
15 200945
16 201141
17 201739
18 201836
19 201435
20 201930

About Gitit Kavé

Gitit Kavé is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Psychiatry and Mental health, Experimental and Cognitive Psychology and Social Psychology, having authored 74 papers that have together received 1.7k 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), Aging and Gerontology Research (7 papers), Child and Animal Learning Development (7 papers), Psychological Well-being and Life Satisfaction (4 papers) and Memory Processes and Influences (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (100 citations), Cognitive Neuroscience (860 citations), Developmental and Educational Psychology (562 citations), Psychiatry and Mental health (343 citations) and Experimental and Cognitive Psychology (249 citations). Gitit Kavé has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yonata Levy, Mira Goral, Ariel Knafo‐Noam, Jiska Cohen‐Mansfield, Nitza Eyal, Vered Halamish, Dov Shmotkin, Yuval Palgi, Amit Shrira and Ayelet Dassa. Their work appears in journals such as Psychology and Aging, Journal of Clinical and Experimental Neuropsychology, The Journals of Gerontology Series B, Aging Neuropsychology and Cognition and Aphasiology.

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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