Gitit Kavé

70 papers receiving 1.6k citations

Peers

Gitit Kavé
Comparison fields: 5 of 96
  • Neuropsychology and Physiological Psychology 134
  • Developmental and Educational Psychology 661
  • Cognitive Neuroscience 996
  • Psychiatry and Mental health 480
  • Experimental and Cognitive Psychology 283
Replace Feggy Ostrosky‐Solís with:
Feggy Ostrosky‐Solís Mexico
Róchele Paz Fonseca Brazil
Elena Cavallini Italy
Anik De Ribaupierre Switzerland
Tannis Y. Arbuckle Canada
Esmeralda Matute Mexico
Sally J. Wadsworth United States
Sanda Dolcos United States
Ana Miranda Spain
Clayton Culver United States
Gitit Kavé relative to Feggy Ostrosky‐Solís Mexico Feggy Ostrosky‐Solís's profile →
Citations per field
00.5×1.5×1.8×
Feggy Ostrosky‐Solís · 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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008152
2 2005147
3 200875
4 200371
5 200463
6 201556
7 201055
8 200654
9 201050
10 201649
11 201647
12 201546
13 201746
14 200945
15 200945
16 201140
17 201435
18 201835
19 201735
20 201928

About Gitit Kavé

Gitit Kavé is a scholar working on Neuropsychology and Physiological Psychology, Developmental and Educational Psychology, Cognitive Neuroscience, Psychiatry and Mental health and Life-span and Life-course Studies, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (31 papers), Language Development and Disorders (24 papers), Dementia and Cognitive Impairment Research (23 papers), Reading and Literacy Development (20 papers), Aging and Gerontology Research (10 papers), Child and Animal Learning Development (7 papers), Memory Processes and Influences (6 papers) and Death Anxiety and Social Exclusion (5 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (134 citations), Developmental and Educational Psychology (661 citations), Cognitive Neuroscience (996 citations), Psychiatry and Mental health (480 citations) and Experimental and Cognitive Psychology (283 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, Amit Shrira, Yuval Palgi and Nira Mashal. 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 Archives of Clinical Neuropsychology.

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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