Richard Huskey

1.5k total citations
36 papers, 703 citations indexed

About

Richard Huskey is a scholar working on Sociology and Political Science, Cognitive Neuroscience and Literature and Literary Theory. According to data from OpenAlex, Richard Huskey has authored 36 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 14 papers in Cognitive Neuroscience and 11 papers in Literature and Literary Theory. Recurrent topics in Richard Huskey's work include Media Influence and Health (11 papers), Misinformation and Its Impacts (9 papers) and Behavioral Health and Interventions (7 papers). Richard Huskey is often cited by papers focused on Media Influence and Health (11 papers), Misinformation and Its Impacts (9 papers) and Behavioral Health and Interventions (7 papers). Richard Huskey collaborates with scholars based in United States, Singapore and United Kingdom. Richard Huskey's co-authors include René Weber, Jacob T. Fisher, Justin Robert Keene, Frederic R. Hopp, Benjamin O. Turner, Michael B. Miller, Hillary C. Shulman, Olivia M. Bullock, Ralf Schmälzle and Allison Eden and has published in prestigious journals such as Current Biology, Neuroscience & Biobehavioral Reviews and Computers in Human Behavior.

In The Last Decade

Richard Huskey

33 papers receiving 681 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Huskey United States 16 267 235 176 145 99 36 703
Georgina A. Tolan Australia 14 361 1.4× 232 1.0× 52 0.3× 117 0.8× 73 0.7× 20 852
Marc A. Sestir United States 6 445 1.7× 136 0.6× 283 1.6× 414 2.9× 62 0.6× 12 826
André Melzer Luxembourg 12 324 1.2× 84 0.4× 113 0.6× 279 1.9× 28 0.3× 45 598
Graham G. Scott United Kingdom 15 351 1.3× 466 2.0× 53 0.3× 244 1.7× 48 0.5× 34 1.1k
Filip Nuyens United Kingdom 12 515 1.9× 97 0.4× 53 0.3× 58 0.4× 99 1.0× 20 696
Keno Juechems United Kingdom 8 277 1.0× 236 1.0× 33 0.2× 65 0.4× 48 0.5× 12 615
Lesa A. Stern United States 9 241 0.9× 76 0.3× 92 0.5× 447 3.1× 32 0.3× 12 810
Hannah Faye Chua United States 11 217 0.8× 489 2.1× 61 0.3× 393 2.7× 190 1.9× 12 1.1k
Elinor Amit United States 11 284 1.1× 246 1.0× 61 0.3× 347 2.4× 274 2.8× 16 780
Helen J. Wall United Kingdom 12 191 0.7× 84 0.4× 68 0.4× 132 0.9× 19 0.2× 22 603

Countries citing papers authored by Richard Huskey

Since Specialization
Citations

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

Fields of papers citing papers by Richard Huskey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Huskey

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Huskey. A scholar is included among the top collaborators of Richard Huskey 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 Richard Huskey. Richard Huskey 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.
Scholz, Christin, Hang‐Yee Chan, Maarten A.S. Boksem, et al.. (2025). Brain activity explains message effectiveness: A mega-analysis of 16 neuroimaging studies. PNAS Nexus. 4(11). pgaf287–pgaf287.
2.
Schmälzle, Ralf & Richard Huskey. (2023). Skyhooks, Cranes, and the Construct Dump: A Comment on and Extension of Boster (2023). 20(2). 84–94. 4 indexed citations
3.
Schmälzle, Ralf & Richard Huskey. (2023). Integrating media content analysis, reception analysis, and media effects studies. Frontiers in Neuroscience. 17. 1155750–1155750. 10 indexed citations
4.
Mannino, Michael V., et al.. (2022). First few seconds for flow: A comprehensive proposal of the neurobiology and neurodynamics of state onset. Neuroscience & Biobehavioral Reviews. 143. 104956–104956. 19 indexed citations
5.
Huskey, Richard. (2021). Gossip: More than just trash talk. Current Biology. 31(12). R783–R786. 1 indexed citations
6.
Huskey, Richard, et al.. (2021). The Accuracy and Precision of Measurement. HOPE (Hauptbibliothek Open Publishing Environment) (University of Zurich). 3(2). 1–20. 7 indexed citations
7.
Huskey, Richard, et al.. (2021). Attitude-Consistent Health Messages About Electronic Cigarettes Increase Processing Time. Journal of Media Psychology Theories Methods and Applications. 34(4). 216–229. 4 indexed citations
8.
Huskey, Richard, Allison Eden, Clare Grall, et al.. (2020). Marr’s Tri-Level Framework Integrates Biological Explanation Across Communication Subfields. Journal of Communication. 70(3). 356–378. 29 indexed citations
9.
Huskey, Richard, Benjamin O. Turner, & René Weber. (2020). Individual Differences in Brain Responses: New Opportunities for Tailoring Health Communication Campaigns. Frontiers in Human Neuroscience. 14. 565973–565973. 5 indexed citations
10.
Hopp, Frederic R., et al.. (2020). The extended Moral Foundations Dictionary (eMFD): Development and applications of a crowd-sourced approach to extracting moral intuitions from text. Behavior Research Methods. 53(1). 232–246. 106 indexed citations
11.
Nabi, Robin L., et al.. (2019). When audiences become advocates: Self-induced behavior change through health message posting in social media. Computers in Human Behavior. 99. 260–267. 31 indexed citations
12.
Weber, René, Bradly Alicea, Richard Huskey, & Klaus Mathiak. (2018). Network Dynamics of Attention During a Naturalistic Behavioral Paradigm. Frontiers in Human Neuroscience. 12. 182–182. 16 indexed citations
13.
Huskey, Richard, et al.. (2018). Does intrinsic reward motivate cognitive control? a naturalistic-fMRI study based on the synchronization theory of flow. Cognitive Affective & Behavioral Neuroscience. 18(5). 902–924. 68 indexed citations
14.
Fisher, Jacob T., Justin Robert Keene, Richard Huskey, & René Weber. (2018). The limited capacity model of motivated mediated message processing: taking stock of the past. Annals of the International Communication Association. 42(4). 270–290. 58 indexed citations
15.
Fisher, Jacob T., Richard Huskey, Justin Robert Keene, & René Weber. (2018). The limited capacity model of motivated mediated message processing: looking to the future. Annals of the International Communication Association. 42(4). 291–315. 44 indexed citations
16.
Turner, Benjamin O., Richard Huskey, & René Weber. (2018). Charting a Future for fMRI in Communication Science. Communication Methods and Measures. 13(1). 1–18. 9 indexed citations
17.
Swanson, Reid, Andrew S. Gordon, Peter Khooshabeh, et al.. (2017). An Empirical Analysis of Subjectivity and Narrative Levels in Weblog Storytelling Across Cultures. 8(2). 105–128. 2 indexed citations
18.
Weber, René, et al.. (2015). Attentional Capacity and Flow Experiences: Examining the Attentional Component of Synchronization Theory. 4 indexed citations
19.
Weber, René, et al.. (2015). Bridging Media Psychology and Cognitive Neuroscience. Journal of Media Psychology Theories Methods and Applications. 27(3). 146–156. 30 indexed citations
20.
Huskey, Richard, et al.. (2013). Flow Theory and Media Exposure: Advances in Experimental Manipulation and Measurement. 1 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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