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A large-scale quantitative study of women in computer science at Stanford University
9 references·9 citing·42 second hop
A large-scale quantitative study of women in computer science at Stanford University (2013)A large-scale quantitative study of women…A study of stereotype threat in computer science (2012)A study of stereotype threat …Ambient belonging: How stereotypical cues impact gender participation in computer science. (2009)Ambient belonging: How stereo…Gender differences in computer science students (2003)Gender differences in compute…Unlocking the clubhouse: women in computing (2002)Unlocking the clubhouse: wome…Recruiting and retaining women in undergraduate computing majors (2002)Recruiting and retaining wome…An ACM-W literature review on women in computing (2002)An ACM-W literature review on…Stereotype Threat and Women's Math Performance (1999)Stereotype Threat and Women's…The incredible shrinking pipeline (1997)The incredible shrinking pipe…Why are there so few female computer scientists (1991)Why are there so few female c…Perceptions of Entrepreneurship Among Graduate Students: Challenges, Opportunities, and Cultural Biases (2024)Perceptions of Entrepreneursh…Fostering Greater Persistence Among Underserved Computer Science Undergraduates: A Descriptive Study of the I-PASS Project (2022)Fostering Greater Persistence…Women’s Sense of Belonging in Computer Science Education: The Need for a Collective Response (2021)Women’s Sense of Belonging in…Evidence for Teaching Practices that Broaden Participation for Women in Computing (2021)Evidence for Teaching Practic…'It's a Bit Weird, but it's OK'? How Female Computer Science Students Navigate being a Minority (2021)'It's a Bit Weird, but it's O…Retention in Computer Science Undergraduate Programs in the U.S. (2018)Retention in Computer Science…Computer science identity and sense of belonging (2018)Computer science identity and…Gender Differences in Students' Behaviors in CS Classes throughout the CS Major (2017)Gender Differences in Student…Using life course theory to frame women and girls' trajectories toward (or away) from computing: Pre high-school through college years (2015)Using life course theory to f…Unlocking the clubhouse (2002)Contexts, gaming pleasures, and gendered preferences (2005)‘Because it’s boring, irrelevant and I don’t like computers’: Why high school girls avoid professionally-oriented ICT subjects (2007)Are Computer Science and Information Technology still masculine fields? 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References

  • 1999Stereotype Threat and Women's Math Performance3,435 cited
  • 2002Unlocking the clubhouse: women in computing1,958 cited
  • 2009Ambient belonging: How stereotypical cues impact gender participation in computer science.1,372 cited
  • 1997The incredible shrinking pipeline484 cited
  • 2003Gender differences in computer science students263 cited
  • 2002An ACM-W literature review on women in computing230 cited
  • 2002Recruiting and retaining women in undergraduate computing majors205 cited
  • 1991Why are there so few female computer scientists141 cited
  • 2012A study of stereotype threat in computer science73 cited

Cited by

  • 2018Retention in Computer Science Undergraduate Programs in the U.S.59 cited
  • 2021Evidence for Teaching Practices that Broaden Participation for Women in Computing50 cited
  • 2017Gender Differences in Students' Behaviors in CS Classes throughout the CS Major42 cited
  • 2018Computer science identity and sense of belonging26 cited
  • 2021Women’s Sense of Belonging in Computer Science Education: The Need for a Collective Response25 cited
  • 2021'It's a Bit Weird, but it's OK'? How Female Computer Science Students Navigate being a Minority

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16 cited
  • 2015Using life course theory to frame women and girls' trajectories toward (or away) from computing: Pre high-school through college years14 cited
  • 2022Fostering Greater Persistence Among Underserved Computer Science Undergraduates: A Descriptive Study of the I-PASS Project12 cited
  • 2024Perceptions of Entrepreneurship Among Graduate Students: Challenges, Opportunities, and Cultural Biases5 cited