Ursula Kessels

Experimental and Cognitive Psychology · 2004–2019

A researcher in the Science corpus: 9 papers; trusts 32 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Experimental and Cognitive Psychology — 61 citations into it; #1,046 of 9,731 by trust here, #3,093 by citations
• Social Psychology — 59 citations into it; #1,193 of 15,694 by trust here, #2,893 by citations
• Sociology and Political Science — 47 citations into it; #7,847 of 22,756 by trust here, #7,774 by citations
• Education — 46 citations into it; #4,923 of 11,309 by trust here, #3,976 by citations
• Gender Studies — 36 citations into it; #335 of 4,924 by trust here, #1,142 by citations
• Safety Research — 17 citations into it
• Applied Psychology — 10 citations into it; #1,329 of 3,868 by trust here, #1,610 by citations
• Developmental and Educational Psychology — 10 citations into it; #4,076 of 8,223 by trust here, #5,027 by citations

Whom Ursula Kessels trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. B. Hannover
2. Brian A. Nosek
3. A. Greenwald
4. Kathryn M. LaFontana
5. M. Steffens
6. Mahzarin R. Banaji
7. C. Jackson
8. D. Marx
9. Anke Heyder
10. Antonius H. N. Cillessen

Who trusts Ursula Kessels overall

1. Ruurd Taconis
2. M. Hofer
3. F. Becker
4. Jennifer Dewitt
5. C. Leaper
6. Rachael D. Robnett
7. Nilanjana Dasgupta
8. Daryl W. Kinney
9. Diana E. Betz
10. K. Ann Renninger

Papers from Ursula Kessels's perspective

Ordered by how strongly the researchers Ursula Kessels trusts endorse each paper. Same corpus, a different order for every researcher.

1. The measurement of psychological androgyny.
2. Measuring individual differences in implicit cognition: the implicit association test.
3. On the leaky math pipeline: Comparing implicit math-gender stereotypes and math withdrawal in female and male children and adolescents.
4. Fitting into the stereotype: How gender-stereotyped perceptions of prototypic peers relate to liking for school subjects
5. Self-to-Prototype Matching as a Strategy for Making Academic Choices. Why High School Students Do Not like Math and Science.
6. Math = male, me = female, therefore math ≠ me.
7. Separating Implicit Gender Stereotypes regarding Math and Language: Implicit Ability Stereotypes are Self-serving for Boys and Men, but not for Girls and Women
8. Perceived learning environment and students' emotional experiences: A multilevel analysis of mathematics classrooms.
9. The development of self-representations during childhood and adolescence.
10. Macho-Man in School: Toward the Role of Gender Role Self-Concepts and Help Seeking in School Performance.

Their papers

• Fitting into the stereotype: How gender-stereotyped perceptions of prototypic peers relate to liking for school subjects (2005) — 195 citations
• Self-to-Prototype Matching as a Strategy for Making Academic Choices. Why High School Students Do Not like Math and Science. (2004) — 274 citations
• How Choosing Science depends on Students' Individual Fit to ‘Science Culture’ (2009) — 129 citations
• Macho-Man in School: Toward the Role of Gender Role Self-Concepts and Help Seeking in School Performance. (2013) — 100 citations
• Do girls take school too seriously? Investigating gender differences in school burnout from a self-worth perspective (2019) — 122 citations
• Gender and ethnic stereotypes in student teachers’ judgments: a new look from a shifting standards perspective (2017) — 97 citations
• Bridging the Gap by Enhancing the Fit: How Stereotypes about STEM Clash with Stereotypes about Girls (2015) — 52 citations
• How gender differences in academic engagement relate to students’ gender identity (2014) — 180 citations
• Is School Feminine? Implicit Gender Stereotyping of School as a Predictor of Academic Achievement (2013) — 120 citations