The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
A circumplex model of affect.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“''Affective BCIs'' [97], [98] are often based on the so-called ''valence-arousal'' 2D space [99] to de ne emotional classes of interest.”
From Hands-Free Accessible Digital Musical Instruments: Conceptual Framework, Challenges, and Perspectives (2020) · cites this paper as [99]
In the citing paper
“One factor that has undoubtedly contributed to the poor characterization of PA’s role in smoking behavior and abstinence is that many EMA studies examining affect as a predictor of craving or smoking behavior subscribed to the circumplex model of emotion, which suggests that NA and PA are not independent factors of emotion and are, in fact, bipolar ends of the same affective dimension (Russell, 1”
From Modeling naturalistic craving, withdrawal, and affect during early nicotine abstinence: A pilot ecological momentary assessment study. (2015) · cites this paper as Russell, 1980
In the citing paper
“In other words, these pilot data were not consistent with the circumplex model of emotion often utilized in EMA smoking studies which posits that NA and PA represent opposing ends of the same affective dimension (Russell, 1980; Russell & Carroll, 1999; Shiffman, 2013)”
From Modeling naturalistic craving, withdrawal, and affect during early nicotine abstinence: A pilot ecological momentary assessment study. (2015) · cites this paper as Russell, 1980
In the citing paper
“Anxiety represents a state of high arousal and negative valence6 and results in enhanced vigilance in the absence of an immediate threat7.”
From Resolving the neural circuits of anxiety (2015) · cites this paper as [6]
In the citing paper
“One alternative view, derived from studies of emotional language and supported by Russell and colleagues (Russell, 1980;Russell & Carroll, 1999), is that valence is a bipolar dimension bisected by intensity.Emotions are then distributed in a circle, or circumplex, around a neutral valence point and moderate intensity”
From Emotional Intensity Predicts Autobiographical Memory Experience (2004) · cites this paper as Russell, 1980
In the citing paper
“Others have extended this model to emotional memory for images, facial expressions, language, and experiences (Bradley, Codispoti, Cuthbert, & Lang, 2001;Osgood, 1966;Robinson, 1980;Russell, 1980).”
From Emotional Intensity Predicts Autobiographical Memory Experience (2004) · cites this paper as Russell, 1980
In the citing paper
“They found that the electrodermal activity (EDA) signal was the most beneficial, which is a measure of the eccrine sweat glands [14,15].”
From Food and Mood: Just-in-Time Support for Emotional Eating (2013) · cites this paper as [15]
Citations
Cites
James, W. (1891) · Personality Culture Society · doi:10.1037/11059-000 · Cited by 25,876
The psychology of interpersonal relations
Heider, F. (1958) · American Sociological Review · doi:10.2307/2089062 · Cited by 17,189
THE PSYCHOLOGY OF PERSONAL CONSTRUCTS
Bannister, D., & Fransella, F. (2010) · Taylor & Francis eBooks · doi:10.4324/9780203405321_chapter_1 · Cited by 8,589
(1974) · Medical Entomology and Zoology · Cited by 7,295
Self-citationCognitive, social, and physiological determinants of emotional state.
Schachter, S., & Singer, J. (1962) · Psychological Review · doi:10.1037/h0046234 · Cited by 6,223
Self-perception: An alternative interpretation of cognitive dissonance phenomena.
Bem, D. J. (1967) · Psychological Review · doi:10.1037/h0024835 · Cited by 2,959
The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function. I.
Shepard, R. N. (1962) · Psychometrika · doi:10.1007/bf02289630 · Cited by 2,579
Emotion, a psychoevolutionary synthesis
Plutchik, R. (1980) · The American Journal of Psychology · doi:10.2307/1422394 · Cited by 2,316
Universals and cultural differences in facial expressions of emotion.
Ekman, P. (1972) · Medical Entomology and Zoology · Cited by 2,273
The robust beauty of improper linear models in decision making.
Dawes, R. M. (1979) · American Psychologist · doi:10.1037/0003-066x.34.7.571 · Cited by 2,046
Cited by
Sorted by citations
Items 901–1,000 of 1,134
VR the world: Experimenting with emotion and presence for tourism marketing
Yung, R., Khoo-Lattimore, C. S. C., & Potter, L. E. (2020) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2020.11.009 · Cited by 176
EEG-based measurement system for monitoring student engagement in learning 4.0
Apicella, A., Arpaïa, P., Frosolone, M., Improta, G., Moccaldi, N., & Pollastro, A. (2022) · Scientific Reports · doi:10.1038/s41598-022-09578-y · Cited by 199
Context effects on emotional and aesthetic evaluations of artworks and IAPS pictures
Gerger, G., Leder, H., & Kremer, A. (2014) · Acta Psychologica · doi:10.1016/j.actpsy.2014.06.008 · Cited by 186
Cheshin, A., Rafaeli, A., & Bos, N. (2011) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2011.06.002 · Cited by 213
Stability, change, and the stability of change in daily workplace affect
Beal, D. J., & Ghandour, L. (2010) · Journal of Organizational Behavior · doi:10.1002/job.713 · Cited by 180
Personality orientations, emotional states, customer satisfaction, and intention to repurchase
Gountas, J., & Gountas, S. (2006) · Journal of Business Research · doi:10.1016/j.jbusres.2006.08.007 · Cited by 174
Martı́nez, A. M., & Du, S. (2017) · The Springer series on challenges in machine learning · doi:10.1007/978-3-319-57021-1_6 · Cited by 173
Cukurova, M., Kent, C., & Luckin, R. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12829 · Cited by 222
“Therefore, we used the common denominator of two emotions, and labelled this merged factor as “arousal” (Russell, 1980).”
BackgroundMethodInfluentialLocalization of asymmetric brain function in emotion and depression
Herrington, J. D., Heller, W., Mohanty, A., Engels, A. S., Banich, M. T., Webb, A. G., & Miller, G. A. (2010) · Psychophysiology · doi:10.1111/j.1469-8986.2009.00958.x · Cited by 169
An Evaluation of Affect and Binge Eating
Deaver, C., Miltenberger, R., Smyth, J., Meidinger, A. L., & Crosby, R. (2003) · Behavior Modification · doi:10.1177/0145445503255571 · Cited by 176
Candra, H., Yuwono, M., Chai, R., Handojoseno, A. M. A., Elamvazuthi, I., Nguyen, H. T., & Su, S. W. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7320065 · Cited by 173
Novel Audio Features for Music Emotion Recognition
Panda, R., Malheiro, R., & Paiva, R. P. (2018) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2018.2820691 · Cited by 186
Survey of Deep Representation Learning for Speech Emotion Recognition
Latif, S., Rana, R. K., Khalifa, S., Jurdak, R., Qadir, J., & Schuller, B. W. (2021) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2021.3114365 · Cited by 193
“tional datasets are annotated using either categorical [75] or dimensional [76] emotion models.”
MethodVirtual Reality for Emotion Elicitation – A Review
Somarathna, R., Bednarz, T. P., & Mohammadi, G. (2022) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2022.3181053 · Cited by 201
“Among them, the two-dimensional Circumplex Model of Affect [46] is the most widely used, representing the entire affective states by valence and arousal [47].”
BackgroundDetecting Emotions through Electrodermal Activity in Learning Contexts: A Systematic Review
Horvers, A., Tombeng, N., Bosse, T., Lazonder, A., & Molenaar, I. (2021) · Italian National Conference on Sensors · doi:10.3390/s21237869 · Cited by 160
“Twodimensional models, such as the circumplex model by Russell [23], characterize emotion in terms of valence and arousal [20].”
MethodShaver, P. R., Morgan, H. J., & Wu, S. M. (1996) · Personal Relationships · doi:10.1111/j.1475-6811.1996.tb00105.x · Cited by 172
Stiglmayr, C., Shapiro, D. A., Stieglitz, R. D., Limberger, M. F., & Bohus, M. (2001) · Journal of Psychiatric Research · doi:10.1016/s0022-3956(01)00012-7 · Cited by 172
Psychological antecedents to socially responsible behavior
Crilly, D., Schneider, S. C., & Zollo, M. (2008) · European Management Review · doi:10.1057/emr.2008.15 · Cited by 176
Nissen, S., Sharp, R. L., Panton, L. B., Vukovich, M. D., Trappe, S. W., & Fuller, J. C. (2000) · Journal of Nutrition · doi:10.1093/jn/130.8.1937 · Cited by 172
Hyun, S. S., Kim, W., & Lee, M. J. (2011) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2010.10.008 · Cited by 178
Pyramid With Super Resolution for In-the-Wild Facial Expression Recognition
Vo, T.-H., Lee, G.-S., Yang, H.-J., & Kim, S.-H. (2020) · IEEE Access · doi:10.1109/access.2020.3010018 · Cited by 178
Audio Features for Music Emotion Recognition: A Survey
Panda, R., Malheiro, R., & Paiva, R. P. (2020) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2020.3032373 · Cited by 172
“Along with such studies, music psychologists have proposed different emotion paradigms (e.g., categorical or dimensional) and related taxonomies (e.g., [27], [28]).”
BackgroundMethodBrackett, M. A., & Elbertson, N. A. (2019) · Character Lab Playbook · doi:10.53776/playbooks-emotional-intelligence · Cited by 172
Tourist experiences and attractions
Vittersø, J., Vorkinn, M., Vistad, O. I., & Vaagland, J. (2000) · Annals of Tourism Research · doi:10.1016/s0160-7383(99)00087-0 · Cited by 169
Mood dependent memory for events of the personal past.
Eich, E., Macaulay, D., & Ryan, L. (1994) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.123.2.201 · Cited by 172
Circular measurement redux: The analysis and interpretation of interpersonal circle profiles.
Gurtman, M. B., & Balakrishnan, J. D. (1998) · Clinical Psychology Science and Practice · doi:10.1111/j.1468-2850.1998.tb00154.x · Cited by 174
Life Tasks and Daily Life Experience
Cantor, N. L., Norem, J. K., Langston, C. A., Zirkel, S., Fleeson, W., & Flannagan, C. A. C. (1991) · Journal of Personality · doi:10.1111/j.1467-6494.1991.tb00255.x · Cited by 172
Fiore, S. M., Wiltshire, T. J., Lobato, E. J. C., Jentsch, F. G., Huang, W. H., & Axelrod, B. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00859 · Cited by 172
Affective Synchrony: Individual Differences in Mixed Emotions
Rafaeli, E., Rogers, G. M., & Revelle, W. (2007) · Personality and Social Psychology Bulletin · doi:10.1177/0146167207301009 · Cited by 170
Emotions and Sport Performance: An Exploration of Happiness, Hope, and Anger
Woodman, T., Davis, P., Hardy, L., Callow, N., Glasscock, I., & Yuill-Proctor, J. (2009) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.31.2.169 · Cited by 186
Driving it Home: How Workplace Emotional Labor Harms Employee Home Life
Wagner, D. T., Barnes, C. M., & Scott, B. A. (2014) · Personnel Psychology · doi:10.1111/peps.12044 · Cited by 224
Schmidtke, D. S., Schröder, T., Jacobs, A. M., & Conrad, M. (2014) · Behavior Research Methods · doi:10.3758/s13428-013-0426-y · Cited by 170
What Does Touch Tell Us about Emotions in Touchscreen-Based Gameplay?
Gao, Y., Bianchi‐Berthouze, N., & Meng, H. (2012) · ACM Transactions on Computer-Human Interaction · doi:10.1145/2395131.2395138 · Cited by 174
Country Versus Destination Image in a Developing Country
Campo, S., & Álvarez, M. D. (2010) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2010.519680 · Cited by 179
Eerola, T., Lartillot, O., & Toiviainen, P. (2009) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.1416729 · Cited by 170
Age differences in memory for arousing and nonarousing emotional words.
Kensinger, E. (2008) · The journals of gerontology. Series B, Psychological sciences and social sciences · doi:10.1093/geronb/63.1.p13 · Cited by 165
The longitudinal development of employee well-being: a systematic review
Mäkikangas, A., Kinnunen, U. M., Feldt, T., & Schaufeli, W. B. (2016) · Work & Stress · doi:10.1080/02678373.2015.1126870 · Cited by 204
“The model has been developed on the basis of the circumplex model of affect (Russell, 1980; Watson & Tellegen, 1985).”
The amygdala's role in long-term declarative memory for gist and detail.
Adolphs, R., Denburg, N. L., & Tranel, D. (2001) · Behavioral Neuroscience · doi:10.1037//0735-7044.115.5.983 · Cited by 171
Colquitt, J. A., Long, D. M., Rodell, J. B., & Halvorsen‐Ganepola, M. D. K. (2014) · Journal of Applied Psychology · doi:10.1037/a0038131 · Cited by 190
“At first blush, this treatment seems at odds with conventions in the eval- uations and affect literatures (Cacioppo & Berntson, 1994; Cacioppo et al., 1997; Larsen & Diener, 1992; Russell, 1980; Watson & Tellegen, 1985; Yik et al., 2011).”
BackgroundInfluentialAutomatic emotion detection in text streams by analyzing Twitter data
Hasan, M. K., Rundensteiner, E. A., & Agu, E. (2018) · International Journal of Data Science and Analytics · doi:10.1007/s41060-018-0096-z · Cited by 170
“The most widely used dimensional model is the Circumplex model of affect proposed by Russell [16].”
BackgroundMethodInfluentialMazefsky, C. A., Yu, L., White, S. W., Siegel, M., & Pilkonis, P. A. (2018) · Autism Research · doi:10.1002/aur.1947 · Cited by 169
“The distinction between the two factors is consistent with several theories related to the circumplex model of emotion that consider aspects such as behavioral activation [Larsen & Diener, 1992], arousal, and valence [Russell, 1980].”
BackgroundFrantzidis, 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
Sense, culture, and sensibility.
Ellsworth, P. C. (2004) · American Psychological Association eBooks · doi:10.1037/10152-001 · Cited by 169
Decoding Spontaneous Emotional States in the Human Brain
Kragel, P. A., Knodt, A. R., Hariri, A. R., & LaBar, K. S. (2016) · PLoS Biology · doi:10.1371/journal.pbio.2000106 · Cited by 174
“Importantly, these neural biomarkers track the subjective experience of discrete emotions independent of differences in the more general dimensions of valence and arousal [18].”
BackgroundImproving EEG-Based Emotion Classification Using Conditional Transfer Learning
Lin, Y., & Jung, T. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00334 · Cited by 168
“…music protocol used 16 30-s music excerpts and intended to induce four emotion classes following the two-dimensional valence-arousal emotion model (Russell, 1980), including joy (positive valence and high arousal), anger (negative valence and high arousal), sadness (negative valence and low…”
MethodMood and the circadian system: investigation of a circadian component in positive affect
Murray, G., Allen, N. B., & Trinder, J. (2002) · Chronobiology International · doi:10.1081/cbi-120015956 · Cited by 167
The exercise–affect–adherence pathway: an evolutionary perspective
Lee, H. H., Emerson, J. A., & Williams, D. M. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01285 · Cited by 160
“…to the circumplex model, core affect can be characterized along two dimensions: valence (i.e., good versus bad) and arousal (i.e., high versus low; Russell, 1980; for a discussion of the “positive affect” and “negative affect” dimensions of the “rotated circumplex model” and the confusion caused…”
BackgroundAllocation of spatial attention to emotional stimuli depends upon arousal and not valence.
Vogt, J., de Houwer, J., Koster, E., Damme, S. V., & Crombez, G. (2008) · Emotion · doi:10.1037/a0013981 · Cited by 184
EMuJoy: Software for continuous measurement of perceived emotions in music
Nagel, F., Kopiez, R., Grewe, O., & ALTENMÜLLER, E. O. (2007) · Behavior Research Methods · doi:10.3758/bf03193159 · Cited by 167
The role of mood and personality in the perception of emotions represented by music
Vuoskoski, J. K., & Eerola, T. (2011) · Cortex · doi:10.1016/j.cortex.2011.04.011 · Cited by 177
Shockley, K. M., Ispas, D., Rossi, M. E., & Levine, E. L. (2012) · Human Performance · doi:10.1080/08959285.2012.721832 · Cited by 184
Tamir, D., Thornton, M. A., Contreras, J. M., & Mitchell, J. P. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1511905112 · Cited by 165
“The dimensions of these theories include valence and arousal (4, 5), warmth and competence (6, 7), agency and experience (8), emotion and reason, mind and body (9), social and nonsocial (2, 10, 11), and uniquely human and shared with animals (12).”
BackgroundHow Psychological Capital Mediates Between Study–Related Positive Emotions and Academic Performance
Carmona-Halty, M. A., Salanova, M., Llorens, S., & Schaufeli, W. B. (2018) · Journal of Happiness Studies · doi:10.1007/s10902-018-9963-5 · Cited by 198
Psychoacoustic cues to emotion in speech prosody and music
Coutinho, E., & Dibben, N. (2012) · Cognition & Emotion · doi:10.1080/02699931.2012.732559 · Cited by 184
The visual system discounts emotional deviants when extracting average expression
Haberman, J. M., & Whitney, D. C. (2010) · Attention Perception & Psychophysics · doi:10.3758/app.72.7.1825 · Cited by 179
Current Emotion Research in Music Psychology
Swaminathan, S., & Schellenberg, E. G. (2015) · Emotion Review · doi:10.1177/1754073914558282 · Cited by 188
“Emotional responses are often measured along two continuous dimensions, one assessing arousal (low to high), and the other assessing valence (negative to positive), in line with the circumplex model, which posits that all emotions can be represented as points in two-dimensional (arousal by valence) space (Russell, 198…”
Result2. The role of the human amygdala in emotional modulation of long-term declarative memory
Buchanan, T. W., & Adolphs, R. (2002) · Advances in consciousness research · doi:10.1075/aicr.44.02buc · Cited by 166
Moral emotions: A review and research agenda for management scholarship
Greenbaum, R. L., Bonner, J., Gray, T. W., & Mawritz, M. B. (2019) · Journal of Organizational Behavior · doi:10.1002/job.2367 · Cited by 176
An Arousal Regulation Explanation of Mood Effects on Consumer Choice
Muro, F. D., & Murray, K. B. (2012) · Journal of Consumer Research · doi:10.1086/664040 · Cited by 165
Erbaş, Y., Ceulemans, E., Pe, M. L., Koval, P., & Kuppens, P. (2014) · Cognition & Emotion · doi:10.1080/02699931.2013.875890 · Cited by 166
“…were selected to span the entire range of the negative arousal dimension of Russell’s circumplex model (ranging from low arousal depression to high arousal stress and anxiety; Russell, 1980), while limiting the total number of terms given the need for brevity in the context of experience sampling.”
BackgroundSource localization of EEG activity during hypnotically induced anxiety and relaxation
Isotani, T., Tanaka, H., Lehmann, D., Pascual-Marqui, R. D., Kochi, K., Saito, N. H., Yagyu, T., Kinoshita, T., & Sasada, K. (2001) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(00)00197-5 · Cited by 166
The Facial Expression Coding System (FACES): Development, validation, and utility.
Kring, A. M., & Sloan, D. M. (2007) · Psychological Assessment · doi:10.1037/1040-3590.19.2.210 · Cited by 173
Modelling Valence and Arousal in Facebook posts
Preotiuc-Pietro, D., Schwartz, H. A., Park, G. J., Eichstaedt, J., Kern, M. L., Ungar, L., & Shulman, E. (2016) · WASSA@NAACL-HLT · doi:10.18653/v1/w16-0404 · Cited by 187
“In this study, we focus on the most popular dimensional model of emotion: the circumplex model introduced in (Russell, 1980).”
BackgroundMethodTemperature and temperament: Evidence from Twitter
Baylis, P. (2020) · Journal of Public Economics · doi:10.1016/j.jpubeco.2020.104161 · Cited by 169
“…of emotional state is undeniably complex: the physical, biological, and psychological bases for human emotions remain only partly understood (Russell 1980), and the distillation of that complexity to a single dimensional affective scale abstracts away from important nuances regarding the…”
BackgroundKarnati, M., Seal, A., Bhattacharjee, D., Yazidi, A., & Krejcar, O. (2023) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2023.3243661 · Cited by 182
The embodied brain: towards a radical embodied cognitive neuroscience
Kiverstein, J. D., & Miller, M. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00237 · Cited by 181
“…degree of pleasantness or unpleasantness) working in combination with cognitive processes of appraisal The dimensional theory can be traced back to Wundt and has received more recent defense in the work of James Russell and Lisa Feldman-Barrett (Wundt, 1897; Russell, 1980, 2003; Barrett, 2006).”
BackgroundThe Happy/Productive Worker Thesis Revisited
Wright, T. A., & Cropanzano, R. (2007) · Research in personnel and human resources management · doi:10.1016/s0742-7301(07)26006-2 · Cited by 170
Time Use and Subjective Well-Being in France and the U.S.
Krueger, A. B., Kahneman, D. J., Fischler, C., Schkade, D. A., Schwarz, N., & Stone, A. A. (2008) · Social Indicators Research · doi:10.1007/s11205-008-9415-4 · Cited by 164
Vuoskoski, J. K., & Eerola, T. (2011) · Musicae Scientiae · doi:10.1177/1029864911403367 · Cited by 199
Novak, D., Mihelj, M., & Munih, M. (2012) · Interacting with Computers · doi:10.1016/j.intcom.2012.04.003 · Cited by 166
Praise for regret: People value regret above other negative emotions
Saffrey, C., Summerville, A. L., & Roese, N. J. (2008) · Motivation and Emotion · doi:10.1007/s11031-008-9082-4 · Cited by 173
Smart environment architecture for emotion detection and regulation
Fernández‐Caballero, A., Martínez‐Rodrigo, A., Pastor, J. M., Castillo, J. C., Lozano-Monasor, E., López, M. T., Zangróniz, R., Latorre, J. M., & Fernández-Sotos, A. (2016) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2016.09.015 · Cited by 168
Developing a typology of affective responses to advertising
Batra, R., & Holbrook, M. B. (1990) · Psychology and Marketing · doi:10.1002/mar.4220070103 · Cited by 164
Not All Moods Are Created Equal! Exploring Human Emotional States in Social Media
Choudhury, M. D., Counts, S., & Gamon, M. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v6i1.14279 · Cited by 163
Sloan (1997) · doi:10.1016/s0165-0327(97)00097-9 · Cited by 163
Unforgettable film music: The role of emotion in episodic long-term memory for music
Eschrich, S., Münte, T. F., & ALTENMÜLLER, E. O. (2008) · BMC Neuroscience · doi:10.1186/1471-2202-9-48 · Cited by 188
Cognitive tendencies of focusing on positive and negative information
Noguchi, K., Gohm, C. L., & Dalsky, D. J. (2005) · Journal of Research in Personality · doi:10.1016/j.jrp.2005.09.008 · Cited by 172
Effects of Music on Physiological Arousal: Explorations into Tempo and Genre
Carpentier, F. R. D., & Potter, R. F. (2007) · Media Psychology · doi:10.1080/15213260701533045 · Cited by 183
Applying the Theory of Affective Intelligence to Support for Authoritarian Policies and Parties
Marcus, G. E., Valentino, N. A., Vasilopoulos, P., & Foucault, M. (2019) · Political Psychology · doi:10.1111/pops.12571 · Cited by 186
Hartmann, P., & Apaolaza-Ibáñez, V. (2010) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2009.10.001 · Cited by 171
When things go wrong: The effect of daily work hassles on effort, exertion and negative mood
Zohar, D. M. (1999) · Journal of Occupational and Organizational Psychology · doi:10.1348/096317999166671 · Cited by 171
Correspondence analysis of color–emotion associations
Hanada, M. (2017) · Color Research & Application · doi:10.1002/col.22171 · Cited by 163
Zaki, L. F., Coifman, K. G., Rafaeli, E., Berenson, K. R., & Downey, G. (2013) · Behavior Therapy · doi:10.1016/j.beth.2013.04.008 · Cited by 161
Inducing changes in arousal and valence: Comparison of two mood induction procedures
Jallais, C., & Gilet, A.-L. (2010) · Behavior Research Methods · doi:10.3758/brm.42.1.318 · Cited by 162
Rubin, D. C., & Talarico, J. M. (2009) · Memory · doi:10.1080/09658210903130764 · Cited by 186
Interpretable Emotion Recognition Using EEG Signals
Qing, C., Qiao, R., Xu, X., & Cheng, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2928691 · Cited by 162
“Russell [10] proposed a valence-arousal emotion model which mapped each emotional state to an area in the two-dimensional space.”
BackgroundInformation Processing and the Study of the Self
Kihlstrom, J. F., Albright, J. S., Klein, S. B., Cantor, N. E., Chew, B., & Niedenthal, P. M. (1988) · Advances in experimental social psychology · doi:10.1016/s0065-2601(08)60226-9 · Cited by 162
ArtEmis: Affective Language for Visual Art
Achlioptas, P., Ovsjanikov, M., Haydarov, K., Elhoseiny, M., & Guibas, L. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.01140 · Cited by 161
“Even a single person can have a range of emotional reactions to a given stimulus [42, 51, 10, 52] and, as shown in Fig.”
BackgroundSánchez‐Franco, M. J. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.07.005 · Cited by 162
It's My Campaign I'll Cry if I Want to: How and When Campaigns Use Emotional Appeals
Ridout, T. N., & Searles, K. (2011) · Political Psychology · doi:10.1111/j.1467-9221.2010.00819.x · Cited by 173
Zenko, Z., Panteleimon Ekkekakis, A., & Dan Ariely, C. (2016) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.2015-0286 · Cited by 178
Du, N., Zhou, F., Pulver, E. M., Tilbury, D. M., Robert, L., Pradhan, A. K., & Yang, X. J. (2020) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.01.006 · Cited by 161
Emotion‐processing deficit in alexithymia
Roedema, T. M., & Simons, R. F. (1999) · Psychophysiology · doi:10.1017/s0048577299980290 · Cited by 161
The Edge of Sentience: Risk and Precaution in Humans, Other Animals, and AI
Birch, J. (2024) · doi:10.1093/9780191966729.001.0001 · Cited by 236
The Intersection of Work and Family Life: The Role of Affect
Eby, L. T., Maher, C. P., & Butts, M. M. (2010) · Annual Review of Psychology · doi:10.1146/annurev.psych.093008.100422 · Cited by 160
Visser, V. A., van Knippenberg, D., van Kleef, G. A., & Wisse, B. (2013) · The Leadership Quarterly · doi:10.1016/j.leaqua.2012.09.003 · Cited by 184
Shirom, A., & Ezrachi, Y. (2003) · Anxiety, Stress, & Coping · doi:10.1080/1061580021000057059 · Cited by 155
Rhythmic entrainment as a musical affect induction mechanism
J. Trost, W., Labbé, C., & Grandjean, D. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.01.004 · Cited by 209
“Journal of Personality and Social Psychology, 39(6), 1161-1178. doi: 10.1037/H0077714 Russell, J. A. (2003).”
BackgroundInfluentialThe human amygdala and orbital prefrontal cortex in behavioural regulation
Dolan, R. J. (2007) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2007.2088 · Cited by 150
Kwan, B. M., & Bryan, A. D. (2010) · Psychology of Sport and Exercise · doi:10.1016/j.psychsport.2009.05.010 · Cited by 218
Metadata
- Authors
- Russell, J. A.
- Corresponding author
- Russell, James A.
- ORCID
- Russell, James A.
- Venue
- Journal of Personality and Social Psychology
- Published
- 1980-12
- Volume
- 39
- Issue
- 6
- Pages
- 1161-1178
- ISSN
- 0022-3514 (ISSN-L)
- 1939-1315
- OpenAlex
- W2149628368
- Cited by
- 16,334
- References
- 58
- Citations by year
- 2026: 1046 · 2025: 1188 · 2024: 1163 · 2023: 1110 · 2022: 1098 · 2021: 1182 · 2020: 1089 · 2019: 967 · 2018: 794 · 2017: 698 · 2016: 698 · 2015: 698 · 2014: 690 · 2013: 630 · 2012: 489
- FWCI
- 8.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Personality and Social Psychology (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Keywords
- affect, circumplex model, emotions, valence, arousal, affective domain
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
