Danielle K. Brown

1.5k total citations
32 papers, 890 citations indexed

About

Danielle K. Brown is a scholar working on Communication, Sociology and Political Science and Literature and Literary Theory. According to data from OpenAlex, Danielle K. Brown has authored 32 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Communication, 11 papers in Sociology and Political Science and 6 papers in Literature and Literary Theory. Recurrent topics in Danielle K. Brown's work include Social Media and Politics (23 papers), Media Studies and Communication (22 papers) and Media Influence and Health (5 papers). Danielle K. Brown is often cited by papers focused on Social Media and Politics (23 papers), Media Studies and Communication (22 papers) and Media Influence and Health (5 papers). Danielle K. Brown collaborates with scholars based in United States, Colombia and Spain. Danielle K. Brown's co-authors include Summer Harlow, Rachel R. Mourão, Víctor García‐Perdomo, Ramón Salaverría, Thomas J. Johnson, George Sylvie, Martin Riedl, Kyser Lough, Melissa Suran and Yee Man Margaret Ng and has published in prestigious journals such as Political Communication, Journal of Broadcasting & Electronic Media and Health Communication.

In The Last Decade

Danielle K. Brown

29 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle K. Brown United States 16 616 482 104 87 77 32 890
Václav Štětka United Kingdom 17 577 0.9× 508 1.1× 172 1.7× 83 1.0× 71 0.9× 52 877
Benjamin Toff United States 16 598 1.0× 523 1.1× 87 0.8× 62 0.7× 77 1.0× 33 816
Lindsay H. Hoffman United States 15 497 0.8× 446 0.9× 154 1.5× 61 0.7× 138 1.8× 31 871
Christian von Sikorski Germany 16 517 0.8× 717 1.5× 184 1.8× 150 1.7× 82 1.1× 53 1.0k
Meredith D. Clark United States 9 427 0.7× 391 0.8× 129 1.2× 129 1.5× 139 1.8× 19 762
Marc Perelló-Sobrepere Spain 4 363 0.6× 302 0.6× 107 1.0× 79 0.9× 151 2.0× 6 644
Tine Ustad Figenschou Norway 16 772 1.3× 547 1.1× 218 2.1× 111 1.3× 63 0.8× 49 1.0k
Benjamin R. Warner United States 16 403 0.7× 419 0.9× 184 1.8× 59 0.7× 58 0.8× 40 734
Moran Yarchi Israel 16 630 1.0× 607 1.3× 180 1.7× 126 1.4× 235 3.1× 51 1.1k
Susana Salgado Portugal 12 789 1.3× 632 1.3× 235 2.3× 137 1.6× 46 0.6× 38 1.1k

Countries citing papers authored by Danielle K. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Danielle K. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle K. Brown. 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 Danielle K. Brown. The network helps show where Danielle K. Brown may publish in the future.

Co-authorship network of co-authors of Danielle K. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle K. Brown. A scholar is included among the top collaborators of Danielle K. Brown 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 Danielle K. Brown. Danielle K. Brown 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
2.
Harlow, Summer & Danielle K. Brown. (2023). A New Protest Paradigm: Toward a Critical Approach to Protest News Analyses. The International Journal of Press/Politics. 28(2). 333–343. 11 indexed citations
4.
Gruszczynski, Mike, et al.. (2022). Facing the Competition: Gender Differences in Facial Emotion and Prominence in Visual News Coverage of Democratic Presidential Primary Candidates. Journalism & Mass Communication Quarterly. 100(3). 498–528. 1 indexed citations
5.
Brown, Danielle K., et al.. (2022). The Influence of Visual Frame Combinations in Solutions Journalism Stories. Journalism & Mass Communication Quarterly. 101(1). 230–252. 8 indexed citations
6.
Mourão, Rachel R. & Danielle K. Brown. (2021). Black Lives Matter Coverage: How Protest News Frames and Attitudinal Change Affect Social Media Engagement. Digital Journalism. 10(4). 626–646. 23 indexed citations
7.
Brown, Danielle K., et al.. (2021). “It’s Just Not the Whole Story”: Black Perspectives of Protest Portrayals. Howard Journal of Communications. 33(4). 382–395. 5 indexed citations
8.
Brown, Danielle K.. (2021). Police Violence and Protests: Digital Media Maintenance of Racism, Protest Repression, and the Status Quo. Journal of Broadcasting & Electronic Media. 65(1). 157–176. 16 indexed citations
9.
Harlow, Summer & Danielle K. Brown. (2020). Perceptions versus performance: How routines, norms and values influence journalists’ protest coverage decisions. Journalism. 23(2). 372–390. 15 indexed citations
10.
Harlow, Summer, Danielle K. Brown, Ramón Salaverría, & Víctor García‐Perdomo. (2020). Is the Whole World Watching? Building a Typology of Protest Coverage on Social Media From Around the World. Journalism Studies. 21(11). 1590–1608. 42 indexed citations
11.
Brown, Danielle K., et al.. (2020). Posting About Cancer: Predicting Social Support in Imgur Comments. Social Media + Society. 6(4). 7 indexed citations
12.
Brown, Danielle K., et al.. (2020). Social Media News Production, Emotional Facebook Reactions, and the Politicization of Drug Addiction. Health Communication. 37(3). 375–383. 7 indexed citations
13.
Brown, Danielle K., Rachel R. Mourão, & George Sylvie. (2018). Martin to Brown. Journalism Practice. 13(4). 413–430. 41 indexed citations
14.
Brown, Danielle K., Summer Harlow, Víctor García‐Perdomo, & Ramón Salaverría. (2018). From #Ferguson to #Ayotzinapa: Analyzing Differences in Domestic and Foreign Protest News Shared on Social Media. Mass Communication & Society. 21(5). 606–630. 32 indexed citations
15.
Brown, Danielle K., et al.. (2018). Reddit’s Veil of Anonymity: Predictors of engagement and participation in media environments with hostile reputations. Social Media + Society. 4(4). 42 indexed citations
16.
Brown, Danielle K., et al.. (2018). Spreading Ebola Panic: Newspaper and Social Media Coverage of the 2014 Ebola Health Crisis. Health Communication. 34(8). 811–817. 101 indexed citations
17.
Brown, Danielle K., Kyser Lough, & Martin Riedl. (2017). Emotional appeals and news values as factors of shareworthiness in Ice Bucket Challenge coverage. Digital Journalism. 8(2). 267–286. 43 indexed citations
18.
Brown, Danielle K., Summer Harlow, Víctor García‐Perdomo, & Ramón Salaverría. (2016). A new sensation? An international exploration of sensationalism and social media recommendations in online news publications. Journalism. 19(11). 1497–1516. 76 indexed citations
19.
Suran, Melissa & Danielle K. Brown. (2015). Freedom from the Press?. Journalism Studies. 18(8). 1035–1051. 22 indexed citations
20.
Brown, Danielle K.. (2015). Media Landscape on Tumblr. Digital Journalism. 4(6). 784–800. 2 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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