Michael E. Huge

1.3k total citations · 1 hit paper
17 papers, 918 citations indexed

About

Michael E. Huge is a scholar working on Communication, Sociology and Political Science and Literature and Literary Theory. According to data from OpenAlex, Michael E. Huge has authored 17 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Communication, 9 papers in Sociology and Political Science and 6 papers in Literature and Literary Theory. Recurrent topics in Michael E. Huge's work include Social Media and Politics (8 papers), Media Studies and Communication (7 papers) and Media Influence and Health (5 papers). Michael E. Huge is often cited by papers focused on Social Media and Politics (8 papers), Media Studies and Communication (7 papers) and Media Influence and Health (5 papers). Michael E. Huge collaborates with scholars based in United States and South Korea. Michael E. Huge's co-authors include Carroll J. Glynn, Silvia Knobloch‐Westerwick, Andrew F. Hayes, Dietram A. Scheufele, Lindsay H. Hoffman, Carole A. Lunney, James Shanahan and Bruce W. Hardy and has published in prestigious journals such as Computers in Human Behavior, Journal of Communication and Public Opinion Quarterly.

In The Last Decade

Michael E. Huge

17 papers receiving 843 citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Matilda Effect in Science Communication

2013 325 citations Silvia Knobloch‐Westerwick, Carroll J. Glynn et al. Science Communication profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael E. Huge United States	11	421	340	226	97	95	17	918
Charlton D. McIlwain United States	10	505 1.2×	521 1.5×	163 0.7×	176 1.8×	87 0.9×	30	1.1k
Ekant Veer New Zealand	16	407 1.0×	119 0.3×	105 0.5×	84 0.9×	114 1.2×	44	925
Adrienne Massanari United States	11	555 1.3×	489 1.4×	423 1.9×	46 0.5×	88 0.9×	16	1.1k
Dina G. Okamoto United States	20	1.0k 2.4×	72 0.2×	169 0.7×	237 2.4×	77 0.8×	41	1.5k
Cheryl Geisler United States	15	246 0.6×	124 0.4×	99 0.4×	28 0.3×	129 1.4×	43	1.0k
Frank Marcinkowski Germany	18	457 1.1×	391 1.1×	36 0.2×	192 2.0×	42 0.4×	45	1.0k
Royce Kimmons United States	25	675 1.6×	498 1.5×	69 0.3×	25 0.3×	101 1.1×	78	1.8k
Christine Ogan United States	16	681 1.6×	501 1.5×	90 0.4×	85 0.9×	128 1.3×	55	1.2k
Bharat Mehra United States	19	330 0.8×	350 1.0×	75 0.3×	69 0.7×	98 1.0×	96	1.1k
John G. Bullock United States	11	735 1.7×	338 1.0×	136 0.6×	644 6.6×	87 0.9×	17	1.3k

Countries citing papers authored by Michael E. Huge

Since Specialization

Citations

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

Fields of papers citing papers by Michael E. Huge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Huge. 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 Michael E. Huge. The network helps show where Michael E. Huge may publish in the future.

Co-authorship network of co-authors of Michael E. Huge

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

All Works

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17 of 17 papers shown

Glynn, Carroll J. & Michael E. Huge. (2014). Applying channel complementarity theory to new and traditional economic media usage patterns of U.S. investors. Computers in Human Behavior. 38. 93–99. 7 indexed citations

Glynn, Carroll J. & Michael E. Huge. (2014). How Pervasive Are Perceptions of Bias? Exploring Judgments of Media Bias in Financial News. International Journal of Public Opinion Research. 26(4). 543–553. 21 indexed citations

Huge, Michael E. & Carroll J. Glynn. (2014). Perceiving Penn State. Communication Research. 42(7). 922–938. 3 indexed citations

Knobloch‐Westerwick, Silvia, Carroll J. Glynn, & Michael E. Huge. (2013). The Matilda Effect in Science Communication. Science Communication. 35(5). 603–625. 325 indexed citations breakdown →

Huge, Michael E. & Carroll J. Glynn. (2012). Hesitation Blues. Communication Research. 40(3). 287–307. 10 indexed citations

Hayes, Andrew F., Carroll J. Glynn, & Michael E. Huge. (2012). Cautions Regarding the Interpretation of Regression Coefficients and Hypothesis Tests in Linear Models with Interactions. Communication Methods and Measures. 6(1). 1–11. 104 indexed citations

Glynn, Carroll J., Michael E. Huge, & Lindsay H. Hoffman. (2011). All the news that’s fit to post: A profile of news use on social networking sites. Computers in Human Behavior. 28(1). 113–119. 107 indexed citations

Huge, Michael E. & Carroll J. Glynn. (2010). Hostile Media and the Campaign Trail: Perceived Media Bias in the Race for Governor. Journal of Communication. 60(1). 165–181. 38 indexed citations

Glynn, Carroll J., Carole A. Lunney, & Michael E. Huge. (2009). The Polls—Trends. Public Opinion Quarterly. 73(4). 807–832. 3 indexed citations

10.

Glynn, Carroll J., Michael E. Huge, & Carole A. Lunney. (2009). The Influence of Perceived Social Norms on College Students' Intention to Vote. Political Communication. 26(1). 48–64. 49 indexed citations

11.

Glynn, Carroll J., Michael E. Huge, & Lindsay H. Hoffman. (2008). Did the media help inflate the housing bubble? Media coverage of real estate markets in times of change. 1–31. 3 indexed citations

12.

Hayes, Andrew F., Carroll J. Glynn, & Michael E. Huge. (2008). Cautions in the Interpretation of Coefficients and Hypothesis Tests From Linear Models With Interactions. 1–23. 5 indexed citations

13.

Glynn, Carroll J., et al.. (2007). The Role of Communication in Public Opinion Processes: Understanding the Impacts of Intrapersonal, Media, and Social Filters. International Journal of Public Opinion Research. 19(3). 287–312. 31 indexed citations

14.

Glynn, Carroll J. & Michael E. Huge. (2007). Opinions as Norms. Communication Research. 34(5). 548–568. 14 indexed citations

15.

Glynn, Carroll J., et al.. (2007). When Oprah Intervenes: Political Correlates of Daytime Talk Show Viewing. Journal of Broadcasting & Electronic Media. 51(2). 228–244. 24 indexed citations

16.

Hayes, Andrew F., Dietram A. Scheufele, & Michael E. Huge. (2006). Nonparticipation as Self-Censorship: Publicly Observable Political Activity in a Polarized Opinion Climate. Political Behavior. 28(3). 259–283. 159 indexed citations

17.

Huge, Michael E., et al.. (2006). A Relationship-Based Approach to Understanding Third-Person Perceptions. Journalism & Mass Communication Quarterly. 83(3). 530–546. 15 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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