Maya Benish‐Weisman

1.3k total citations
44 papers, 821 citations indexed

About

Maya Benish‐Weisman is a scholar working on Social Psychology, Sociology and Political Science and Clinical Psychology. According to data from OpenAlex, Maya Benish‐Weisman has authored 44 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Social Psychology, 23 papers in Sociology and Political Science and 19 papers in Clinical Psychology. Recurrent topics in Maya Benish‐Weisman's work include Cultural Differences and Values (25 papers), Social and Intergroup Psychology (15 papers) and Child and Adolescent Psychosocial and Emotional Development (14 papers). Maya Benish‐Weisman is often cited by papers focused on Cultural Differences and Values (25 papers), Social and Intergroup Psychology (15 papers) and Child and Adolescent Psychosocial and Emotional Development (14 papers). Maya Benish‐Weisman collaborates with scholars based in Israel, United States and Germany. Maya Benish‐Weisman's co-authors include Ella Daniel, Kristina L. McDonald, Ariel Knafo‐Noam, Julie Lee, David Schiefer, Moti Benita, Cláudio Torres, Lennia Matos, Klaus Boehnke and Anat Bardi and has published in prestigious journals such as PLoS ONE, Child Development and Developmental Psychology.

In The Last Decade

Maya Benish‐Weisman

38 papers receiving 784 citations

Peers

Maya Benish‐Weisman
Comparison fields: 5 of 73
  • Social Psychology 495
  • Sociology and Political Science 353
  • Clinical Psychology 267
  • Education 158
  • Cognitive Neuroscience 109
Ella Daniel Israel
M. Kyle Matsuba Canada
Flavia Albarello Italy
E. Olcay İmamoğlu Türkiye
Daniël Brugman Netherlands
Anna‐Kaisa Newheiser United States
Boris Mayer Switzerland
Belén Mesurado Argentina
María Vicenta Mestre Spain
Vassilis Pavlopoulos Greece
Ella Daniel Israel View profile →
Citations per field, relative to Maya Benish‐Weisman
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Citations per year, relative to Maya Benish‐Weisman
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Countries citing papers authored by Maya Benish‐Weisman

Since Specialization
Citations

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

Fields of papers citing papers by Maya Benish‐Weisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Benish‐Weisman. 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 Maya Benish‐Weisman. The network helps show where Maya Benish‐Weisman may publish in the future.

Co-authorship network of co-authors of Maya Benish‐Weisman

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Benish‐Weisman. A scholar is included among the top collaborators of Maya Benish‐Weisman 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 Maya Benish‐Weisman. Maya Benish‐Weisman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 2
5 4
6 7
7 2
8 4
9 1
10 71
11 14
12 20
13 36
14 17
15 18
16 65
17 4
18 16
19 14
20 56

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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