Birnbaum, Gurit E.

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

Joel, S., Eastwick, P. W., Allison, C. J., Arriaga, X. B., Baker, Z. G., Bar-Kalifa, E., Bergeron, S., Birnbaum, G. E., Brock, R. L., Brumbaugh, C. C., et al. (2020) · Proceedings of the National Academy of Sciences

Attachment and Relationship DynamicsFamily Dynamics and Relationships

Cited by 315

The Death-Anxiety Buffering Function of Close Relationships: Exploring the Effects of Separation Reminders on Death-Thought Accessibility

Mikulincer, M., Florian, V., Birnbaum, G., & Malishkevich, S. (2002) · Personality and Social Psychology Bulletin

Death Anxiety and Social ExclusionAttachment and Relationship Dynamics

Cited by 164

What robots can teach us about intimacy: The reassuring effects of robot responsiveness to human disclosure

Birnbaum, G. E., Mizrahi, M., Hoffman, G., Reis, H. T., Finkel, E. J., & Sass, O. (2016) · Computers in Human Behavior

Social Robot Interaction and HRIAttachment and Relationship Dynamics

Cited by 158

Intimately connected: The importance of partner responsiveness for experiencing sexual desire.

Birnbaum, G. E., Reis, H. T., Mizrahi, M., Kanat-Maymon, Y., Sass, O., & Granovski-Milner, C. (2016) · Journal of Personality and Social Psychology

Attachment and Relationship DynamicsMarriage and Sexual Relationships

Cited by 125

Desire in the face of death: terror management, attachment, and sexual motivation

BIRNBAUM, G., HIRSCHBERGER, G., & GOLDENBERG, J. (2011) · Personal Relationships

Death Anxiety and Social ExclusionDeath, Funerary Practices, and Mourning

Cited by 45