Maya Tamir

11.4k total citations · 1 hit paper
120 papers, 7.3k citations indexed

About

Maya Tamir is a scholar working on Social Psychology, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Maya Tamir has authored 120 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Social Psychology, 42 papers in Experimental and Cognitive Psychology and 41 papers in Clinical Psychology. Recurrent topics in Maya Tamir's work include Cultural Differences and Values (46 papers), Social and Intergroup Psychology (36 papers) and Child and Adolescent Psychosocial and Emotional Development (30 papers). Maya Tamir is often cited by papers focused on Cultural Differences and Values (46 papers), Social and Intergroup Psychology (36 papers) and Child and Adolescent Psychosocial and Emotional Development (30 papers). Maya Tamir collaborates with scholars based in Israel, United States and Australia. Maya Tamir's co-authors include James J. Gross, Brett Q. Ford, Michael D. Robinson, Iris B. Mauss, Oliver P. John, Sanjay Srivastava, Roni Porat, June Gruber, Eran Halperin and Yochanan Bigman and has published in prestigious journals such as Journal of Personality and Social Psychology, Nature Communications and Child Development.

In The Last Decade

Maya Tamir

119 papers receiving 7.0k citations

Hit Papers

Why Do People Regulate Their Emotions? A Taxonomy of Moti... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maya Tamir Israel 45 4.1k 2.7k 2.5k 1.8k 1.5k 120 7.3k
Özlem Ayduk United States 43 3.5k 0.8× 3.3k 1.2× 2.6k 1.0× 1.6k 0.9× 2.0k 1.4× 80 8.3k
Christopher J. Soto United States 34 3.0k 0.7× 3.9k 1.5× 2.5k 1.0× 1.8k 1.0× 1.1k 0.7× 73 7.8k
Boris Egloff Germany 46 2.7k 0.7× 3.1k 1.2× 2.5k 1.0× 2.9k 1.6× 1.2k 0.8× 140 8.0k
Eshkol Rafaeli Israel 31 2.5k 0.6× 2.5k 0.9× 2.0k 0.8× 1.2k 0.7× 1.0k 0.7× 97 6.2k
Virgil Zeigler‐Hill United States 44 3.4k 0.8× 4.8k 1.8× 2.0k 0.8× 2.2k 1.2× 774 0.5× 255 8.1k
Paul D. Trapnell Canada 30 2.8k 0.7× 3.6k 1.3× 2.1k 0.9× 2.3k 1.3× 914 0.6× 44 7.3k
Michele M. Tugade United States 13 3.9k 0.9× 4.8k 1.8× 1.7k 0.7× 1.3k 0.7× 1.7k 1.2× 16 9.0k
John B. Nezlek United States 58 5.6k 1.4× 3.5k 1.3× 3.1k 1.3× 2.4k 1.4× 1.7k 1.2× 185 10.4k
Willibald Ruch Switzerland 59 8.4k 2.0× 3.5k 1.3× 2.1k 0.8× 1.2k 0.7× 1.6k 1.1× 287 11.3k
William Fleeson United States 43 3.1k 0.8× 3.5k 1.3× 3.0k 1.2× 1.9k 1.1× 1.9k 1.3× 81 7.6k

Countries citing papers authored by Maya Tamir

Since Specialization
Citations

This map shows the geographic impact of Maya Tamir's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maya Tamir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Tamir more than expected).

Fields of papers citing papers by Maya Tamir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Tamir. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maya Tamir. The network helps show where Maya Tamir may publish in the future.

Co-authorship network of co-authors of Maya Tamir

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Tamir. A scholar is included among the top collaborators of Maya Tamir based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maya Tamir. Maya Tamir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tamir, Maya, et al.. (2025). Cognitive Reappraisal is More Effective for Regulating Emotions than Moods. Affective Science. 6(3). 477–488. 1 indexed citations
2.
Gutentag, Tony, et al.. (2025). The Critical (and Neglected) Role of Effort in Emotion Regulation. Current Directions in Psychological Science. 1 indexed citations
3.
Gutentag, Tony, Yossi Hasson, Orit Karnieli‐Miller, & Maya Tamir. (2024). Empathy investors: Individual differences in motivational strength in empathy regulation. Personality and Individual Differences. 229. 112753–112753. 1 indexed citations
4.
Tamir, Maya, et al.. (2024). Knowing me, knowing you: Are people good at regulating their emotions good at regulating another’s emotions?. Emotion. 24(5). 1137–1148. 2 indexed citations
5.
Kalokerinos, Elise K., et al.. (2024). Stuck with the foot on the pedal: Depression and motivated emotion regulation in daily life.. Emotion. 24(5). 1299–1311. 2 indexed citations
6.
Tamir, Maya, et al.. (2024). Variability in emotion regulation strategy use in major depressive disorder: Flexibility or volatility?. Journal of Affective Disorders. 372. 306–313. 5 indexed citations
8.
Vishkin, Allon, Yulia Chentsova-Dutton, Yuri Miyamoto, et al.. (2024). Motivated to feel better and doing something about it: Cross-cultural differences in motivated emotion regulation during COVID-19.. Emotion. 25(1). 1–17. 1 indexed citations
9.
Kalokerinos, Elise K., et al.. (2023). Flexibility or instability? Emotion goal dynamics and mental health.. Emotion. 24(4). 1078–1091. 5 indexed citations
10.
Millgram, Yael, et al.. (2022). Desired sadness, happiness, fear and calmness in depression: The potential roles of valence and arousal.. Emotion. 23(4). 1130–1140. 6 indexed citations
11.
Kirby, Leslie D., Weiqiang Qian, Zafer Adıgüzel, et al.. (2021). Appraisal and coping predict health and well‐being during the COVID‐19 pandemic: An international approach. International Journal of Psychology. 57(1). 49–62. 30 indexed citations
12.
Millgram, Yael, et al.. (2021). Motivations for Emotions in Bipolar Disorder. Clinical Psychological Science. 9(4). 666–685. 3 indexed citations
13.
Vishkin, Allon, Pazit Ben‐Nun Bloom, Shalom H. Schwartz, Nevin Solak, & Maya Tamir. (2019). Religiosity and Emotion Regulation. Journal of Cross-Cultural Psychology. 50(9). 1050–1074. 36 indexed citations
14.
Botvinik‐Nezer, Rotem, et al.. (2018). The Cue-Approach Task as a General Mechanism for Long-Term Non-Reinforced Behavioral Change. Scientific Reports. 8(1). 3614–3614. 21 indexed citations
15.
Bigman, Yochanan, Gal Sheppes, & Maya Tamir. (2017). When less is more: Effects of the availability of strategic options on regulating negative emotions.. Emotion. 17(6). 993–1006. 8 indexed citations
16.
Tamir, Maya & Yochanan Bigman. (2017). Expectations influence how emotions shape behavior.. Emotion. 18(1). 15–25. 27 indexed citations
17.
Bigman, Yochanan & Maya Tamir. (2016). The road to heaven is paved with effort: Perceived effort amplifies moral judgment.. Journal of Experimental Psychology General. 145(12). 1654–1669. 27 indexed citations
18.
Bigman, Yochanan, Iris B. Mauss, James J. Gross, & Maya Tamir. (2015). Yes I can: Expected success promotes actual success in emotion regulation. Cognition & Emotion. 30(7). 1380–1387. 69 indexed citations
19.
Srivastava, Sanjay, Maya Tamir, Kelly McGonigal, Oliver P. John, & James J. Gross. (2009). The social costs of emotional suppression: A prospective study of the transition to college.. Journal of Personality and Social Psychology. 96(4). 883–897. 378 indexed citations
20.
Tamir, Maya, Oliver P. John, Sanjay Srivastava, & James J. Gross. (2007). Implicit theories of emotion: Affective and social outcomes across a major life transition.. Journal of Personality and Social Psychology. 92(4). 731–744. 456 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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