Alyssa Appelman

829 total citations · 1 hit paper
28 papers, 590 citations indexed

About

Alyssa Appelman is a scholar working on Sociology and Political Science, Communication and Artificial Intelligence. According to data from OpenAlex, Alyssa Appelman has authored 28 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 13 papers in Communication and 8 papers in Artificial Intelligence. Recurrent topics in Alyssa Appelman's work include Misinformation and Its Impacts (14 papers), Public Relations and Crisis Communication (7 papers) and Media Studies and Communication (6 papers). Alyssa Appelman is often cited by papers focused on Misinformation and Its Impacts (14 papers), Public Relations and Crisis Communication (7 papers) and Media Studies and Communication (6 papers). Alyssa Appelman collaborates with scholars based in United States and Hong Kong. Alyssa Appelman's co-authors include S. Shyam Sundar, Mike Schmierbach, Anne Oeldorf-Hirsch, Michael Boyle, Paul D. Bolls, Bu Zhong, Mu Wu, Haiyan Jia, Anne Thompson and Jennifer Hoewe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and American Behavioral Scientist.

In The Last Decade

Alyssa Appelman

26 papers receiving 566 citations

Hit Papers

Measuring Message Credibility 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alyssa Appelman United States 8 419 269 145 101 50 28 590
Jakob Ohme Netherlands 19 643 1.5× 522 1.9× 103 0.7× 79 0.8× 30 0.6× 44 972
Chance York United States 10 562 1.3× 387 1.4× 85 0.6× 68 0.7× 70 1.4× 19 786
Ysabel Gerrard United Kingdom 11 298 0.7× 230 0.9× 211 1.5× 33 0.3× 42 0.8× 20 583
Toby Hopp United States 16 431 1.0× 325 1.2× 138 1.0× 47 0.5× 62 1.2× 41 697
Raymond J. Pingree United States 11 691 1.6× 679 2.5× 140 1.0× 77 0.8× 42 0.8× 25 956
Ryan Medders United States 3 744 1.8× 483 1.8× 133 0.9× 98 1.0× 44 0.9× 4 964
Vian Bakir United Kingdom 11 618 1.5× 389 1.4× 158 1.1× 59 0.6× 33 0.7× 36 862
Alvin Zhou United States 13 380 0.9× 388 1.4× 139 1.0× 28 0.3× 52 1.0× 37 696
Chang Sup Park United States 16 675 1.6× 612 2.3× 101 0.7× 65 0.6× 44 0.9× 45 996
Cornelia Mothes United States 13 442 1.1× 464 1.7× 82 0.6× 62 0.6× 32 0.6× 23 700

Countries citing papers authored by Alyssa Appelman

Since Specialization
Citations

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

Fields of papers citing papers by Alyssa Appelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alyssa Appelman

This figure shows the co-authorship network connecting the top 25 collaborators of Alyssa Appelman. A scholar is included among the top collaborators of Alyssa Appelman 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 Alyssa Appelman. Alyssa Appelman 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.
Wu, Mu, et al.. (2024). Who Wrote It? News Readers’ Sensemaking of AI/Human Bylines. Communication Reports. 38(1). 46–58. 3 indexed citations
2.
Jia, Haiyan, et al.. (2024). News bylines and perceived AI authorship: Effects on source and message credibility. SHILAP Revista de lepidopterología. 2(2). 100093–100093. 6 indexed citations
3.
Appelman, Alyssa, et al.. (2023). Job Satisfaction in the COVID-19 Era: A Survey of Copy Editors Across Fields. Journalism & Mass Communication Quarterly. 2 indexed citations
4.
Appelman, Alyssa. (2023). Numbers in News Articles: Effects of Presence, Errors, and (False) Recall. Electronic News. 18(2). 67–82. 1 indexed citations
5.
Oeldorf-Hirsch, Anne, Mike Schmierbach, Alyssa Appelman, & Michael Boyle. (2023). The Influence of Fact-Checking Is Disputed! The Role of Party Identification in Processing and Sharing Fact-Checked Social Media Posts. American Behavioral Scientist. 68(10). 1345–1365. 2 indexed citations
6.
Appelman, Alyssa. (2021). Written in Code: Exploring the Negative Effects of Acronyms in News Headlines. Journalism Practice. 16(7). 1495–1511.
7.
Appelman, Alyssa, et al.. (2020). Correcting Online Content: The Influence of News Outlet Reputation. Journalism Practice. 15(10). 1562–1579. 9 indexed citations
8.
Oeldorf-Hirsch, Anne, Mike Schmierbach, Alyssa Appelman, & Michael Boyle. (2020). The Ineffectiveness of Fact-Checking Labels on News Memes and Articles. Mass Communication & Society. 23(5). 682–704. 67 indexed citations
9.
Appelman, Alyssa, et al.. (2019). Two Wrongs Don’t Make a Right: Journalists’ Perceptions and Usage of Press Releases. Corporate Reputation Review. 24(2). 65–75. 1 indexed citations
10.
Appelman, Alyssa, et al.. (2018). A crisis by any other name? Examining the effects of journalistic “crisis labeling” on corporate perceptions. Newspaper Research Journal. 39(1). 83–92. 2 indexed citations
11.
Appelman, Alyssa & Mike Schmierbach. (2017). Make No Mistake? Exploring Cognitive and Perceptual Effects of Grammatical Errors in News Articles. Journalism & Mass Communication Quarterly. 95(4). 930–947. 27 indexed citations
12.
Appelman, Alyssa, et al.. (2016). Repeating error lowers perception of correction’s importance. Newspaper Research Journal. 37(3). 249–260. 3 indexed citations
13.
Hoewe, Jennifer, Alyssa Appelman, & Elise M. Stevens. (2016). Mr. Mom in the News: The Relationship Between Stereotypes and Perceptions of Gendered News Stories. Communication Research Reports. 34(1). 11–20. 4 indexed citations
14.
Appelman, Alyssa, et al.. (2015). Do news corrections affect credibility? Not necessarily. Newspaper Research Journal. 36(4). 415–425. 8 indexed citations
15.
Appelman, Alyssa & S. Shyam Sundar. (2015). Measuring Message Credibility. Journalism & Mass Communication Quarterly. 93(1). 59–79. 394 indexed citations breakdown →
16.
Appelman, Alyssa, et al.. (2014). Weibo as news: Credibility judgments in the context of Chinese microblogging.
17.
Zhong, Bu & Alyssa Appelman. (2014). How college students read and write on the web: The role of ICT use in processing online information. Computers in Human Behavior. 38. 201–207. 9 indexed citations
18.
Appelman, Alyssa, et al.. (2014). Corrections of Newspaper Errors Have Little Impact. Newspaper Research Journal. 35(1). 51–63. 6 indexed citations
19.
Zhang, Bo, Alyssa Appelman, Youngjoon Choi, & Ashley Han. (2013). The effect of interactivity on user experience: Comparing visual cues and actual use. 1 indexed citations
20.
Appelman, Alyssa & Paul D. Bolls. (2011). Article Recall, Credibility Lower with Grammar Errors. Newspaper Research Journal. 32(2). 50–62. 20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026