Riva Tukachinsky

2.3k total citations · 1 hit paper
30 papers, 1.4k citations indexed

About

Riva Tukachinsky is a scholar working on Literature and Literary Theory, Communication and Sociology and Political Science. According to data from OpenAlex, Riva Tukachinsky has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Literature and Literary Theory, 19 papers in Communication and 12 papers in Sociology and Political Science. Recurrent topics in Riva Tukachinsky's work include Media Influence and Health (21 papers), Media Studies and Communication (16 papers) and Media, Gender, and Advertising (11 papers). Riva Tukachinsky is often cited by papers focused on Media Influence and Health (21 papers), Media Studies and Communication (16 papers) and Media, Gender, and Advertising (11 papers). Riva Tukachinsky collaborates with scholars based in United States, Israel and Ireland. Riva Tukachinsky's co-authors include Nathan Walter, Dana Mastro, Moran Yarchi, Gayle S. Stever, Stephen A. Rains, Amir Hetsroni, Camille J. Saucier, Keren Eyal, Angeline Sangalang and Yariv Tsfati and has published in prestigious journals such as Journal of Social Issues, Journal of Communication and Communication Research.

In The Last Decade

Riva Tukachinsky

29 papers receiving 1.4k citations

Hit Papers

A Meta-Analytic Examination of the Continued Influence of... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riva Tukachinsky United States 20 861 672 455 357 197 30 1.4k
Benjamin K. Johnson United States 25 1.2k 1.4× 517 0.8× 662 1.5× 169 0.5× 234 1.2× 64 1.8k
José Sanders Netherlands 18 431 0.5× 777 1.2× 479 1.1× 225 0.6× 189 1.0× 63 1.4k
Diana Rieger Germany 22 941 1.1× 524 0.8× 338 0.7× 208 0.6× 439 2.2× 82 1.6k
Rhonda Gibson United States 18 611 0.7× 437 0.7× 492 1.1× 161 0.5× 149 0.8× 36 1.2k
Anne Bartsch Germany 21 846 1.0× 1.3k 1.9× 336 0.7× 531 1.5× 518 2.6× 50 1.9k
Elizabeth Behm‐Morawitz United States 19 696 0.8× 382 0.6× 233 0.5× 527 1.5× 247 1.3× 49 1.4k
Silvia Knobloch United States 14 551 0.6× 478 0.7× 313 0.7× 160 0.4× 185 0.9× 23 1.1k
Travis L. Dixon United States 24 1.6k 1.9× 434 0.6× 724 1.6× 596 1.7× 260 1.3× 40 2.4k
Srividya Ramasubramanian United States 20 769 0.9× 367 0.5× 390 0.9× 320 0.9× 225 1.1× 72 1.4k
Frank M. Schneider Germany 19 946 1.1× 494 0.7× 348 0.8× 157 0.4× 429 2.2× 53 1.5k

Countries citing papers authored by Riva Tukachinsky

Since Specialization
Citations

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

Fields of papers citing papers by Riva Tukachinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riva Tukachinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Riva Tukachinsky. A scholar is included among the top collaborators of Riva Tukachinsky 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 Riva Tukachinsky. Riva Tukachinsky 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.
Tukachinsky, Riva, Nathan Walter, & Camille J. Saucier. (2020). Antecedents and Effects of Parasocial Relationships: A Meta-Analysis. Journal of Communication. 70(6). 868–894. 92 indexed citations
2.
Tukachinsky, Riva, et al.. (2019). Promoting Support for Public Health Policies Through Mediated Contact: Can Narrator Perspective and Self-Disclosure Curb In-Group Favoritism?. International journal of communication. 13. 19. 2 indexed citations
3.
Walter, Nathan & Riva Tukachinsky. (2019). A Meta-Analytic Examination of the Continued Influence of Misinformation in the Face of Correction: How Powerful Is It, Why Does It Happen, and How to Stop It?. Communication Research. 47(2). 155–177. 276 indexed citations breakdown →
4.
Tukachinsky, Riva. (2019). Playing a Bad Character but Endorsing a Good Cause: Actor-character Fundamental Attribution Error and Persuasion. Communication Reports. 33(1). 1–13. 4 indexed citations
5.
Tukachinsky, Riva & Keren Eyal. (2018). The Psychology of Marathon Television Viewing: Antecedents and Viewer Involvement. Mass Communication & Society. 21(3). 275–295. 50 indexed citations
6.
Walter, Nathan, Riva Tukachinsky, Ayellet Pelled, & Robin L. Nabi. (2018). Meta-Analysis of Anger and Persuasion: An Empirical Integration of Four Models. Journal of Communication. 69(1). 73–93. 39 indexed citations
7.
Tukachinsky, Riva, et al.. (2018). Parasocial romantic relationships, romantic beliefs, and relationship outcomes in USA adolescents: rehearsing love or setting oneself up to fail?. Journal of Children and Media. 12(3). 329–345. 21 indexed citations
8.
Tukachinsky, Riva & Gayle S. Stever. (2018). Theorizing Development of Parasocial Engagement. Communication Theory. 29(3). 209–230. 99 indexed citations
9.
Liang, Yuhua & Riva Tukachinsky. (2017). Narrative Persuasion 2.0: Transportation in Participatory Websites. Communication Research Reports. 34(3). 201–210. 10 indexed citations
10.
Tukachinsky, Riva, Dana Mastro, & Moran Yarchi. (2017). The Effect of Prime Time Television Ethnic/Racial Stereotypes on Latino and Black Americans: A Longitudinal National Level Study. Journal of Broadcasting & Electronic Media. 61(3). 538–556. 47 indexed citations
11.
Tukachinsky, Riva & Angeline Sangalang. (2016). The Effect of Relational and Interactive Aspects of Parasocial Experiences on Attitudes and Message Resistance. Communication Reports. 29(3). 175–188. 33 indexed citations
12.
Tukachinsky, Riva. (2015). When Actors Don't Walk the Talk: Parasocial Relationships Moderate the Effect of Actor-Character Incongruence. International journal of communication. 9. 17. 6 indexed citations
13.
Tukachinsky, Riva. (2015). Where We Have Been and Where We Can Go From Here: Looking to the Future in Research on Media, Race, and Ethnicity. Journal of Social Issues. 71(1). 186–199. 35 indexed citations
14.
15.
Rains, Stephen A. & Riva Tukachinsky. (2014). An Examination of the Relationships Among Uncertainty, Appraisal, and Information-Seeking Behavior Proposed in Uncertainty Management Theory. Health Communication. 30(4). 339–349. 59 indexed citations
16.
Mastro, Dana, et al.. (2014). News Coverage of Immigration: The Influence of Exposure to Linguistic Bias in the News on Consumer's Racial/Ethnic Cognitions. Communication Quarterly. 62(2). 135–154. 16 indexed citations
17.
Tukachinsky, Riva. (2012). Processing Mode and Actor-Character Congruency as Moderators of Narratives' Effects on Viewers' Attitudes. UA Campus Repository (The University of Arizona). 2 indexed citations
18.
Tukachinsky, Riva, et al.. (2011). Is a Picture Worth a Thousand Words? The Effect of Race-Related Visual and Verbal Exemplars on Attitudes and Support for Social Policies. Mass Communication & Society. 14(6). 720–742. 20 indexed citations
19.
Tsfati, Yariv, Riva Tukachinsky, & Yoram Peri. (2009). Exposure to News, Political Comedy, and Entertainment Talk Shows: Concern About Security and Political Mistrust. SSRN Electronic Journal.
20.
Hetsroni, Amir & Riva Tukachinsky. (2005). The Use of Fine Art in Advertising: A Survey of Creatives and Content Analysis of Advertisements. Journal of Current Issues & Research in Advertising. 27(1). 93–107. 28 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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