Journal of Engineering Education

Papers
(The H4-Index of Journal of Engineering Education is 18. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Positionality practices and dimensions of impact on equity research: A collaborative inquiry and call to the community177
Engineering stress culture: Relationships among mental health, engineering identity, and sense of inclusion78
Resilient engineering identity development critical to prolonged engagement of Black women in engineering37
Community engagement in engineering education: A systematic literature review35
Teamwork facilitation and conflict resolution training in a HyFlex course during the COVID‐19 pandemic33
Increasing gender diversity in engineering using soft robotics24
A hard stop to the term “soft skills”23
Unpacking professional shame: Patterns of White male engineering students living in and out of threats to their identities22
Engineering graduate students’ mental health: A scoping literature review21
Inner engineering: Evaluating the utility of mindfulness training to cultivate intrapersonal and interpersonal competencies among first‐year engineering students21
The use of engineering model‐building activities to elicit computational thinking: A design‐based research study20
Examining engineering students' perceptions of learner agency enactment in problem‐ and project‐based learning using Q methodology20
Collaborative construction of artificial intelligence curriculum in primary schools20
Engineering student perceptions of social justice in a feedback control systems course19
“They are here to support me”: Community cultural wealth assets and precollege experiences of undergraduate Black men in engineering19
Participation pathways for women into university makerspaces19
The honeycomb of engineering framework: Philosophy of engineering guiding precollege engineering education18
Using random forest analysis to identify student demographic and high school‐level factors that predict college engineering major choice18
Generative artificial intelligence and engineering education18
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