Ayellet Pelled

567 total citations
9 papers, 329 citations indexed

About

Ayellet Pelled is a scholar working on Communication, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Ayellet Pelled has authored 9 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Communication, 4 papers in Sociology and Political Science and 2 papers in Political Science and International Relations. Recurrent topics in Ayellet Pelled's work include Social Media and Politics (4 papers), Misinformation and Its Impacts (2 papers) and Media Influence and Health (2 papers). Ayellet Pelled is often cited by papers focused on Social Media and Politics (4 papers), Misinformation and Its Impacts (2 papers) and Media Influence and Health (2 papers). Ayellet Pelled collaborates with scholars based in United States, Israel and Russia. Ayellet Pelled's co-authors include Dhavan V. Shah, Jon Pevehouse, Josephine Lukito, JungHwan Yang, Chris Wells, Shreenita Ghosh, Frederick J. Boehm, Riva Tukachinsky, Nathan Walter and Robin L. Nabi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Journal of Communication.

In The Last Decade

Ayellet Pelled

9 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ayellet Pelled United States	6	217	176	81	41	37	9	329
Marco Dohle Germany	10	262 1.2×	207 1.2×	70 0.9×	50 1.2×	24 0.6×	41	379
Cindy T. Christen United States	8	214 1.0×	197 1.1×	44 0.5×	18 0.4×	63 1.7×	12	331
Yanqin Lu United States	10	337 1.6×	291 1.7×	91 1.1×	65 1.6×	25 0.7×	21	421
Ivan B. Dylko United States	8	245 1.1×	228 1.3×	46 0.6×	36 0.9×	13 0.4×	12	341
Slgi S. Lee United States	7	340 1.6×	291 1.7×	60 0.7×	76 1.9×	20 0.5×	12	412
A. Günther United States	5	213 1.0×	200 1.1×	48 0.6×	29 0.7×	86 2.3×	6	345
Edward Frederick United States	6	191 0.9×	219 1.2×	24 0.3×	23 0.6×	93 2.5×	16	346
Itay Gabay United States	8	242 1.1×	195 1.1×	53 0.7×	31 0.8×	15 0.4×	11	325
Christian Schwarzenegger Germany	9	186 0.9×	181 1.0×	39 0.5×	41 1.0×	14 0.4×	30	318
Taylor N. Carlson United States	9	185 0.9×	245 1.4×	121 1.5×	46 1.1×	18 0.5×	17	323

Countries citing papers authored by Ayellet Pelled

Since Specialization

Citations

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

Fields of papers citing papers by Ayellet Pelled

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayellet Pelled

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

All Works

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9 of 9 papers shown

Pelled, Ayellet, Josephine Lukito, Yini Zhang, et al.. (2021). Death Across the News Spectrum: A Time Series Analysis of Partisan Coverage Following Mass Shootings in the United States Between 2012 and 2014. SHILAP Revista de lepidopterología. 15. 20. 5 indexed citations

Wells, Chris, Dhavan V. Shah, Josephine Lukito, et al.. (2020). Trump, Twitter, and news media responsiveness: A media systems approach. New Media & Society. 22(4). 659–682. 73 indexed citations

Lewis, Nehama, Ayellet Pelled, & Nurit Tal‐Or. (2019). The effect of exposure to thin models and digital modification disclaimers on women's body satisfaction. International Journal of Psychology. 55(2). 245–254. 10 indexed citations

Pelled, Ayellet, et al.. (2019). Staying silent and speaking out in online comment sections: The influence of spiral of silence and corrective action in reaction to news. Computers in Human Behavior. 102. 192–205. 31 indexed citations

Shah, Dhavan V., et al.. (2019). Computational Communication Science| The Temporal Turn in Communication Research: Time Series Analyses Using Computational Approaches. SHILAP Revista de lepidopterología. 13. 23. 2 indexed citations

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

Pelled, Ayellet, et al.. (2017). Textual Primacy Online: Impression Formation Based on Textual and Visual Cues in Facebook Profiles. American Behavioral Scientist. 61(7). 672–687. 12 indexed citations

Pelled, Ayellet, et al.. (2016). Which Post Will Impress the Most?. 1–10. 3 indexed citations

Wells, Chris, Dhavan V. Shah, Jon Pevehouse, et al.. (2016). How Trump Drove Coverage to the Nomination: Hybrid Media Campaigning. Political Communication. 33(4). 669–676. 154 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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