Sanaz Talaifar

1.3k total citations · 1 hit paper
17 papers, 742 citations indexed

About

Sanaz Talaifar is a scholar working on Sociology and Political Science, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Sanaz Talaifar has authored 17 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 9 papers in Social Psychology and 4 papers in Cognitive Neuroscience. Recurrent topics in Sanaz Talaifar's work include Social and Intergroup Psychology (6 papers), Cultural Differences and Values (4 papers) and Psychology of Moral and Emotional Judgment (3 papers). Sanaz Talaifar is often cited by papers focused on Social and Intergroup Psychology (6 papers), Cultural Differences and Values (4 papers) and Psychology of Moral and Emotional Judgment (3 papers). Sanaz Talaifar collaborates with scholars based in United States, United Kingdom and Spain. Sanaz Talaifar's co-authors include Michael D. Buhrmester, Samuel D. Gosling, William B. Swann, Ángel Gómez, Skylar M. Brannon, Gabriella M. Harari, Alexandra Vázquez, Lucía López‐Rodríguez, Mercedes Martínez and Ashwini Ashokkumar and has published in prestigious journals such as Journal of Personality and Social Psychology, American Psychologist and Scientific Reports.

In The Last Decade

Sanaz Talaifar

17 papers receiving 725 citations

Hit Papers

An Evaluation of Amazon’s Mechanical Turk, Its Rapid Rise... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanaz Talaifar United States 10 388 227 123 101 80 17 742
Angela G. Pirlott United States 7 342 0.9× 238 1.0× 155 1.3× 73 0.7× 108 1.4× 8 847
Kyle A. Thomas United States 6 278 0.7× 150 0.7× 127 1.0× 130 1.3× 103 1.3× 8 665
Anca M. Miron United States 12 394 1.0× 322 1.4× 102 0.8× 135 1.3× 66 0.8× 36 737
Gabriel Lins de Holanda Coelho Brazil 14 221 0.6× 278 1.2× 234 1.9× 71 0.7× 103 1.3× 54 750
Kate A. Ratliff United States 19 588 1.5× 331 1.5× 70 0.6× 135 1.3× 105 1.3× 55 953
Katherine J. Morris United States 7 328 0.8× 200 0.9× 89 0.7× 97 1.0× 132 1.6× 29 807
Jon Grahe United States 16 310 0.8× 491 2.2× 205 1.7× 155 1.5× 195 2.4× 46 1.0k
Giuliana Spadaro Netherlands 11 389 1.0× 229 1.0× 163 1.3× 192 1.9× 123 1.5× 21 778
Leigh Ann Vaughn United States 13 468 1.2× 381 1.7× 75 0.6× 99 1.0× 90 1.1× 35 819
Jonathan E. Ramsay Singapore 14 317 0.8× 258 1.1× 142 1.2× 84 0.8× 100 1.3× 26 668

Countries citing papers authored by Sanaz Talaifar

Since Specialization
Citations

This map shows the geographic impact of Sanaz Talaifar'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 Sanaz Talaifar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanaz Talaifar more than expected).

Fields of papers citing papers by Sanaz Talaifar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanaz Talaifar. 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 Sanaz Talaifar. The network helps show where Sanaz Talaifar may publish in the future.

Co-authorship network of co-authors of Sanaz Talaifar

This figure shows the co-authorship network connecting the top 25 collaborators of Sanaz Talaifar. A scholar is included among the top collaborators of Sanaz Talaifar 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 Sanaz Talaifar. Sanaz Talaifar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Talaifar, Sanaz, et al.. (2025). Lifestyle polarization on a college campus: Do liberals and conservatives behave differently in everyday life?. Journal of Personality and Social Psychology. 129(1). 152–180. 1 indexed citations
2.
Talaifar, Sanaz, et al.. (2024). Identity development in the digital context. Social and Personality Psychology Compass. 18(2). 10 indexed citations
3.
Vaid, Sumer S., Lara Kroencke, Sanaz Talaifar, et al.. (2024). Variation in social media sensitivity across people and contexts. Scientific Reports. 14(1). 6571–6571. 9 indexed citations
4.
Stachl, Clemens, et al.. (2024). A workflow for human-centered machine-assisted hypothesis generation: Commentary on Banker et al. (2024).. American Psychologist. 79(6). 800–802. 3 indexed citations
5.
Talaifar, Sanaz. (2024). Alphabetical Diaries and Autobiographical Memory in the Digital Age. Psychological Inquiry. 35(2). 141–144. 1 indexed citations
6.
Valenzuela, Ana, Stefano Puntoni, Donna L. Hoffman, et al.. (2024). How Artificial Intelligence Constrains the Human Experience. Journal of the Association for Consumer Research. 9(3). 241–256. 26 indexed citations
7.
Talaifar, Sanaz, Michael Stuetzer, Peter J. Rentfrow, Jeff Potter, & Samuel D. Gosling. (2022). Fear and Deprivation in Trump's America: A Regional Analysis of Voting Behavior in the 2016 and 2020 U.S. Presidential Elections. PsychOpen Gold (Leibniz Institute for Psychology). 3(1). 2 indexed citations
8.
Talaifar, Sanaz, et al.. (2022). Dostoyevsky’s Conjecture: Evaluating Personality Impressions Based on Laughter. Journal of Nonverbal Behavior. 46(4). 383–397. 2 indexed citations
9.
Talaifar, Sanaz & Brian S. Lowery. (2022). Freedom and Constraint in Digital Environments: Implications for the Self. Perspectives on Psychological Science. 18(3). 544–575. 8 indexed citations
10.
Talaifar, Sanaz, Michael D. Buhrmester, Özlem Ayduk, & William B. Swann. (2020). Asymmetries in Mutual Understanding: People With Low Status, Power, and Self-Esteem Understand Better Than They Are Understood. Perspectives on Psychological Science. 16(2). 338–357. 14 indexed citations
11.
Ashokkumar, Ashwini, Sanaz Talaifar, Michael D. Buhrmester, et al.. (2020). Censoring political opposition online: Who does it and why. Journal of Experimental Social Psychology. 91. 104031–104031. 23 indexed citations
12.
Talaifar, Sanaz, et al.. (2020). A New Pathway to University Retention? Identity Fusion With University Predicts Retention Independently of Grades. Social Psychological and Personality Science. 12(1). 108–117. 14 indexed citations
13.
Gómez, Ángel, Alexandra Vázquez, Lucía López‐Rodríguez, et al.. (2019). Why people abandon groups: Degrading relational vs collective ties uniquely impacts identity fusion and identification. Journal of Experimental Social Psychology. 85. 103853–103853. 36 indexed citations
14.
Buhrmester, Michael D., Sanaz Talaifar, & Samuel D. Gosling. (2018). An Evaluation of Amazon’s Mechanical Turk, Its Rapid Rise, and Its Effective Use. Perspectives on Psychological Science. 13(2). 149–154. 531 indexed citations breakdown →
15.
Swann, William B. & Sanaz Talaifar. (2018). Introduction to special issue of Self and Identity on identity fusion. Self and Identity. 17(5). 483–486. 6 indexed citations
16.
Talaifar, Sanaz & William B. Swann. (2018). Deep Alignment with Country Shrinks the Moral Gap Between Conservatives and Liberals. Political Psychology. 40(3). 657–675. 17 indexed citations
17.
Buhrmester, Michael D., et al.. (2015). Identity Fusion, Extreme Pro‐Group Behavior, and the Path to Defusion. Social and Personality Psychology Compass. 9(9). 468–480. 39 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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