Lilach Nir

2.8k total citations · 1 hit paper
38 papers, 1.8k citations indexed

About

Lilach Nir is a scholar working on Communication, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Lilach Nir has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Communication, 22 papers in Sociology and Political Science and 14 papers in Political Science and International Relations. Recurrent topics in Lilach Nir's work include Social Media and Politics (22 papers), Electoral Systems and Political Participation (14 papers) and Social and Intergroup Psychology (10 papers). Lilach Nir is often cited by papers focused on Social Media and Politics (22 papers), Electoral Systems and Political Participation (14 papers) and Social and Intergroup Psychology (10 papers). Lilach Nir collaborates with scholars based in Israel, United States and Switzerland. Lilach Nir's co-authors include Joseph N. Cappella, Vincent Price, Stuart Soroka, Patrick Fournier, Diana C. Mutz, Joseph Turow, James Druckman, Eran Amsalem, Laia Castro and Morten Skovsgaard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Annals of the New York Academy of Sciences.

In The Last Decade

Lilach Nir

36 papers receiving 1.7k citations

Hit Papers

Cross-national evidence of a negativity bias in psychophy... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lilach Nir Israel 19 1.2k 1.2k 571 241 152 38 1.8k
Myiah J. Hutchens United States 19 1.2k 1.0× 965 0.8× 386 0.7× 231 1.0× 203 1.3× 48 1.5k
Kyu S. Hahn United States 12 1.4k 1.2× 1.5k 1.3× 725 1.3× 185 0.8× 163 1.1× 32 2.2k
David Nicolas Hopmann Denmark 23 1.6k 1.3× 1.4k 1.2× 656 1.1× 97 0.4× 225 1.5× 80 2.2k
Adam Shehata Sweden 27 1.8k 1.5× 1.5k 1.3× 509 0.9× 93 0.4× 159 1.0× 60 2.3k
Hernando Rojas United States 28 2.1k 1.8× 1.7k 1.5× 489 0.9× 238 1.0× 394 2.6× 76 2.8k
Yonghwan Kim South Korea 22 1.8k 1.5× 1.7k 1.5× 332 0.6× 301 1.2× 320 2.1× 62 2.5k
Samara Klar United States 18 818 0.7× 1.4k 1.2× 1.1k 1.9× 141 0.6× 135 0.9× 37 2.2k
Carsten Reinemann Germany 22 1.7k 1.4× 1.3k 1.1× 723 1.3× 67 0.3× 325 2.1× 72 2.5k
James Stanyer United Kingdom 20 1.8k 1.5× 1.4k 1.2× 622 1.1× 76 0.3× 283 1.9× 54 2.5k
David Domke United States 24 1.2k 1.0× 1.3k 1.1× 649 1.1× 71 0.3× 103 0.7× 46 2.3k

Countries citing papers authored by Lilach Nir

Since Specialization
Citations

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

Fields of papers citing papers by Lilach Nir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lilach Nir

This figure shows the co-authorship network connecting the top 25 collaborators of Lilach Nir. A scholar is included among the top collaborators of Lilach Nir 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 Lilach Nir. Lilach Nir 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.
Adler, Eli, et al.. (2024). Asymmetry in political polarization at multiple levels of bias. Political Psychology. 45(6). 1105–1121. 5 indexed citations
3.
Fournier, Patrick, Stuart Soroka, & Lilach Nir. (2020). Negativity Biases and Political Ideology: A Comparative Test across 17 Countries. American Political Science Review. 114(3). 775–791. 42 indexed citations
4.
Castro, Laia, David Nicolas Hopmann, & Lilach Nir. (2020). Whose media are hostile? The spillover effect of interpersonal discussions on media bias perceptions. Communications. 46(4). 540–563. 2 indexed citations
5.
Soroka, Stuart, Patrick Fournier, Lilach Nir, & John R. Hibbing. (2018). Psychophysiology in the Study of Political Communication: An Expository Study of Individual-Level Variation in Negativity Biases. Political Communication. 36(2). 288–302. 18 indexed citations
6.
Tsfati, Yariv & Lilach Nir. (2017). Frames and Reasoning: Two Pathways From Selective Exposure to Affective Polarization. International journal of communication. 11. 22. 21 indexed citations
7.
Nir, Lilach & Scott D. McClurg. (2015). How Institutions Affect Gender Gaps in Public Opinion Expression. Public Opinion Quarterly. 79(2). 544–567. 20 indexed citations
8.
Miodownik, Dan & Lilach Nir. (2015). Receptivity to Violence in Ethnically Divided Societies: A Micro-Level Mechanism of Perceived Horizontal Inequalities. Studies in Conflict and Terrorism. 39(1). 22–45. 20 indexed citations
9.
Turow, Joseph, Amy Bleakley, Michael X. Delli Carpini, et al.. (2014). Americans, Marketers, and the Internet: 1999-2012. SSRN Electronic Journal. 3 indexed citations
10.
Nir, Lilach. (2012). Cross-National Differences in Political Discussion: Can Political Systems Narrow Deliberation Gaps?. Journal of Communication. 62(3). 553–570. 42 indexed citations
11.
Nir, Lilach. (2012). Public Space: How Shared News Landscapes Close Gaps in Political Engagement. Journal of Broadcasting & Electronic Media. 56(4). 578–596. 15 indexed citations
12.
Mutz, Diana C. & Lilach Nir. (2010). Not Necessarily the News: Does Fictional Television Influence Real-World Policy Preferences?. Mass Communication & Society. 13(2). 196–217. 69 indexed citations
13.
Nir, Lilach & Ariel Knafo‐Noam. (2009). Reason within Passion. Annals of the New York Academy of Sciences. 1167(1). 146–157. 6 indexed citations
14.
Nir, Lilach & James Druckman. (2008). Campaign Mixed-Message Flows and Timing of Vote Decision. SSRN Electronic Journal. 1 indexed citations
15.
Nir, Lilach & James Druckman. (2008). Campaign Mixed-Message Flows and Timing of Vote Decision. International Journal of Public Opinion Research. 20(3). 326–346. 55 indexed citations
16.
Nir, Lilach & Diana C. Mutz. (2006). Not Necessarily the News: Effects of Fictional Television on Real World Policy Preferences. 1–39. 2 indexed citations
17.
Nir, Lilach. (2005). Ambivalent Social Networks and Their Consequences for Participation. International Journal of Public Opinion Research. 17(4). 422–442. 136 indexed citations
18.
Nir, Lilach. (2004). What we think others think: A motivated reasoning model of public opinion perception and expression. Scholarly Commons (University of Pennsylvania). 21(6). 206–9. 1 indexed citations
19.
Price, Vincent, Joseph N. Cappella, & Lilach Nir. (2002). Does Disagreement Contribute to More Deliberative Opinion?. Political Communication. 19(1). 95–112. 323 indexed citations
20.
Turow, Joseph & Lilach Nir. (2000). The Internet and the Family: The View From Parents, the View From Kids. ScholarlyCommons (University of Pennsylvania). 33. 47 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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