Riva Tukachinsky

37 total papers · 2.3k total citations
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 1.3k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

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?

2019 270 citations Nathan Walter, Riva Tukachinsky Communication Research profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Riva Tukachinsky	848	665	453	356	195	30	1.4k
José Sanders	432 0.5×	776 1.2×	479 1.1×	225 0.6×	189 1.0×	63	1.4k
Benjamin K. Johnson	1.2k 1.4×	516 0.8×	658 1.5×	166 0.5×	230 1.2×	64	1.8k
Rhonda Gibson	607 0.7×	437 0.7×	490 1.1×	158 0.4×	148 0.8×	36	1.2k
Silvia Knobloch	550 0.6×	478 0.7×	313 0.7×	160 0.4×	185 0.9×	23	1.1k
Paul Messaris	463 0.5×	431 0.6×	286 0.6×	157 0.4×	141 0.7×	41	1.3k
Elizabeth Behm‐Morawitz	695 0.8×	380 0.6×	233 0.5×	525 1.5×	244 1.3×	48	1.4k
Ye Sun	649 0.8×	316 0.5×	520 1.1×	111 0.3×	112 0.6×	37	1.3k
Diana Rieger	926 1.1×	521 0.8×	335 0.7×	203 0.6×	435 2.2×	82	1.5k
Frank M. Schneider	934 1.1×	493 0.7×	344 0.8×	156 0.4×	424 2.2×	53	1.5k
George Comstock	668 0.8×	571 0.9×	376 0.8×	363 1.0×	464 2.4×	48	1.6k

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

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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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