Barbara Dávid

738 citations
10 papers · 368 · h-index 8

Impact in

Papers in

Barbara Dávid

10 papers receiving 317 citations

Peers

Barbara Dávid
Comparison fields: 5 of 58
  • Gender Studies 73
  • Social Psychology 158
  • Sociology and Political Science 249
  • Applied Psychology 29
  • Communication 39
Replace Angelica Mucchi‐Faina with:
Angelica Mucchi‐Faina Italy
Anna E. Clark Netherlands
Deborah L. Hume United States
Kristin Maurer United States
Στάμος Παπαστάμου Greece
Devin G. Ray United Kingdom
Thomas Lee Budesheim United States
Marlon Mooijman United States
Missy Houlette United States
Mary L. Inman United States
Barbara Dávid relative to Angelica Mucchi‐Faina Italy Angelica Mucchi‐Faina's profile →
Citations per field
00.5×
Angelica Mucchi‐Faina · 1×
Citations per year

Countries citing papers authored by Barbara Dávid

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Dávid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Barbara Dávid, 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 Barbara Dávid Line = papers co-authored together Barbara Dávid links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 199278
2 199678
3 199944
4 201343
5 200436
6 200829
7 200327
8
Majority and minority influence: A single process self-categorization analysis.
200124
9
Studies in Self-Categorization and Minority Conversion
19996
10 20213

About Barbara Dávid

Barbara Dávid is a scholar working on Social Psychology, Sociology and Political Science, Education, Gender Studies and Developmental and Educational Psychology, having authored 10 papers that have together received 368 indexed citations. Recurring topics across this work include Social and Intergroup Psychology (5 papers), Cultural Differences and Values (4 papers), Gender Roles and Identity Studies (2 papers), Emotional Intelligence and Performance (1 paper), Sport Psychology and Performance (1 paper), Sports injuries and prevention (1 paper), Sports Performance and Training (1 paper) and Psychology of Moral and Emotional Judgment (1 paper). The work is most often cited by research in Gender Studies (73 citations), Social Psychology (158 citations), Sociology and Political Science (249 citations), Applied Psychology (29 citations) and Communication (39 citations). Barbara Dávid has collaborated with scholars based in Australia, United Kingdom and Hungary. Frequent co-authors include John Turner, Michelle K. Ryan, Michael A. Hogg, Craig McGarty, Paul G. Bain, Renata Bongiorno, Katherine J. Reynolds and Diana M. Grace. Their work appears in journals such as British Journal of Social Psychology, Child Development, Psychology of Women Quarterly, Sex Roles and SHILAP Revista de lepidopterología.

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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