The Structure of Current Affect: Controversies and Emerging Consensus

A circumplex model of affect.

Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334 · see citing works

Core affect and the psychological construction of emotion.

Russell, J. A. (2003) · Psychological Review · doi:10.1037/0033-295x.110.1.145 · Cited by 6,113 · see citing works

Compassion: an evolutionary analysis and empirical review

Goetz, J. L., Keltner, D., & Simon-Thomas, E. (2010) · Psychological Bulletin · doi:10.1037/a0018807 · Cited by 2,200 · see citing works

Measures of emotion: A review

Mauss, I. B., & Robinson, M. D. (2009) · Cognition and Emotion · doi:10.1080/02699930802204677 · Cited by 2,078 · see citing works

Are Emotions Natural Kinds?

Barrett, L. F. (2006) · Perspectives on Psychological Science · doi:10.1111/j.1745-6916.2006.00003.x · Cited by 1,859 · see citing works

The theory of constructed emotion: an active inference account of interoception and categorization

Barrett, L. F. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw154 · Cited by 1,426 · see citing works

The experience of emotion

Barrett, L. F., Mesquita, B., Ochsner, K. N., & Gross, J. J. (2007) · Annual Review of Psychology · doi:10.1146/annurev.psych.58.110405.085709 · Cited by 1,425 · see citing works

Dissociated neural representations of intensity and valence in human olfaction

Anderson, A. K., Christoff, K., Stappen, I., Panitz, D., Ghahremani, D. G., Glover, G., Gabrieli, J. D. E., & Sobel, N. (2003) · Nature Neuroscience · doi:10.1038/nn1001 · Cited by 1,054 · see citing works

From anger to action: Differential impacts of eco-anxiety, eco-depression, and eco-anger on climate action and wellbeing

Stanley, S. K., Hogg, T. L., Leviston, Z., & Walker, I. (2021) · The Journal of Climate Change and Health · doi:10.1016/j.joclim.2021.100003 · Cited by 715 · see citing works

The brain basis of positive and negative affect: evidence from a meta-analysis of the human neuroimaging literature

Lindquist, K. A., Satpute, A. B., Wager, T. D., Weber, J., & Barrett, L. F. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv001 · Cited by 713 · see citing works

A framework for studying emotions across species

Anderson, D. J., & Adolphs, R. (2014) · Cell · doi:10.1016/j.cell.2014.03.003 · Cited by 691 · see citing works

Neuroimaging Support for Discrete Neural Correlates of Basic Emotions: A Voxel-based Meta-analysis

Vytal, K., & Hamann, S. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21366 · Cited by 680 · see citing works

Evidence for a large-scale brain system supporting allostasis and interoception in humans

Kleckner, I. R., Zhang, J., Touroutoglou, A., Chanes, L., Xia, C., Simmons, W. K., Quigley, K. S., Dickerson, B. C., & Feldman Barrett, L. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0069 · Cited by 641 · see citing works

Affective Influences on the Attentional Dynamics Supporting Awareness.

Anderson, A. K. (2005) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.134.2.258 · Cited by 655 · see citing works

Ultrasonic vocalizations as indices of affective states in rats

Knutson, B., Burgdorf, J., & Panksepp, J. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.6.961 · Cited by 618 · see citing works

Sex differences in brain activation to emotional stimuli: A meta-analysis of neuroimaging studies

Stevens, J. S., & Hamann, S. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.03.011 · Cited by 588 · see citing works

An active inference theory of allostasis and interoception in depression

Barrett, L. F., Quigley, K. S., & Hamilton, P. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0011 · Cited by 554 · see citing works

Feelings change: Accounting for individual differences in the temporal dynamics of affect.

Kuppens, P., Oravecz, Z., & Tuerlinckx, F. (2010) · Journal of Personality and Social Psychology · doi:10.1037/a0020962 · Cited by 543 · see citing works

Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies

Short, C. E., DeSmet, A., Woods, C., Williams, S. L., Maher, C., Middelweerd, A., Müller, A. M., Wark, P. A., Vandelanotte, C., Poppe, L., et al. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9397 · Cited by 400 · see citing works

Emotional Valence and the Free-Energy Principle

Joffily, M., & Coricelli, G. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003094 · Cited by 322 · see citing works

The Affective Response Model: A Theoretical Framework of Affective Concepts and Their Relationships in the ICT Context1

Zhang, P. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.1.11 · Cited by 331 · see citing works

Identifying emotions on the basis of neural activation

Kassam, K. S., Markey, A. R., Cherkassky, V. L., Loewenstein, G., & Just, M. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066032 · Cited by 306 · see citing works

Multivariate neural biomarkers of emotional states are categorically distinct

Kragel, P. A., & LaBar, K. S. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv032 · Cited by 218 · see citing works

Analysis of the affect measurement conundrum in exercise psychology: IV. A conceptual case for the affect circumplex

Ekkekakis, P., & Petruzzello, S. J. (2002) · Psychology of sport and exercise · doi:10.1016/s1469-0292(01)00028-0 · Cited by 242 · see citing works

Deeply Felt Affect: The Emergence of Valence in Deep Active Inference

Hesp, C., Smith, R., Parr, T., Allen, M., Friston, K. J., & Ramstead, M. J. D. (2021) · Neural Computation · doi:10.1162/neco_a_01341 · Cited by 246 · see citing works

Physiological feelings

Pace-Schott, E. F., Amole, M. C., Aue, T., Balconi, M., Bylsma, L. M., Critchley, H., Demaree, H. A., Friedman, B. H., Gooding, A. E. K., Gosseries, O., et al. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.05.002 · Cited by 221 · see citing works

Let them eat fruit! The effect of fruit and vegetable consumption on psychological well-being in young adults: A randomized controlled trial

Conner, T. S., Brookie, K. L., Carr, A. C., Mainvil, L. A., & Vissers, M. C. M. (2017) · PLOS ONE · doi:10.1371/journal.pone.0171206 · Cited by 207 · see citing works

Segregated neural representation of distinct emotion dimensions in the prefrontal cortex-an fMRI study

Grimm, S., Schmidt, C. F., Bermpohl, F., Heinzel, A., Dahlem, Y., Wyss, M., Hell, D., Boesiger, P., Boeker, H., & Northoff, G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.006 · Cited by 195 · see citing works

On the classification of emotional biosignals evoked while viewing affective pictures: An integrated data-mining-based approach for healthcare applications

Frantzidis, C. A., Bratsas, C., Klados, M. A., Konstantinidis, E., Lithari, C. D., Vivas, A. B., Papadelis, C. L., Kaldoudi, E., Pappas, C., & Bamidis, P. D. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2009.2038481 · Cited by 166 · see citing works

A nationally representative study of emotional competence and health.

Mikolajczak, M., Avalosse, H., Vancorenland, S., Verniest, R., Callens, M., van Broeck, N., Fantini-Hauwel, C., & Mierop, A. (2015) · Emotion · doi:10.1037/emo0000034 · Cited by 137 · see citing works

Multivariate pattern classification reveals autonomic and experiential representations of discrete emotions.

Kragel, P. A., & LaBar, K. S. (2013) · Emotion · doi:10.1037/a0031820 · Cited by 134 · see citing works

The hedonic character of nostalgia: an integrative data analysis

Leunissen, J., Wildschut, T., Sedikides, C., & Routledge, C. (2021) · Emotion Review · doi:10.1177/1754073920950455 · Cited by 119 · see citing works

“How does tech make you feel?” a review and examination of negative affective responses to technology use

Agogo, D., & Hess, T. J. (2018) · European Journal of Information Systems · doi:10.1080/0960085x.2018.1435230 · Cited by 121 · see citing works

Personality and Coping: Individual Differences in Responses to Emotion

Segerstrom, S. C., & Smith, G. T. (2019) · Annual Review of Psychology · doi:10.1146/annurev-psych-010418-102917 · Cited by 105 · see citing works

Sugar rush or sugar crash? A meta-analysis of carbohydrate effects on mood

Mantantzis, K., Schlaghecken, F., Sünram-Lea, S. I., & Maylor, E. A. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.03.016 · Cited by 67 · see citing works

Social and physical anhedonia and valence and arousal aspects of emotional experience

Kerns, J. G., Docherty, A. R., & Martin, E. A. (2008) · Journal of Abnormal Psychology · doi:10.1037/a0013601 · Cited by 66 · see citing works

Affective Science Perspectives on Cancer Control: Strategically Crafting a Mutually Beneficial Research Agenda

Ferrer, R. A., Green, P. A., & Barrett, L. F. (2015) · Perspectives on Psychological Science · doi:10.1177/1745691615576755 · Cited by 58 · see citing works

Researching state shame with the experiential shame scale.

Turner, J. E. (2014) · The Journal of Psychology · doi:10.1080/00223980.2013.818927 · Cited by 52 · see citing works

Leadership in the locker room: How the intensity of leaders’ unpleasant affective displays shapes team performance.

Staw, B. M., DeCelles, K. A., & de Goey, P. (2019) · Journal of Applied Psychology · doi:10.1037/apl0000418 · Cited by 39 · see citing works

The Brain as a Cultural Artifact: Concepts, Actions, and Experiences within the Human Affective Niche

Gendron, M., Mesquita, B., & Barrett, L. F. (2020) · Culture, Mind, and Brain · doi:10.1017/9781108695374.010 · Cited by 20 · see citing works