Rachel L. Neo

1.0k total citations
20 papers, 705 citations indexed

About

Rachel L. Neo is a scholar working on Sociology and Political Science, Communication and Social Psychology. According to data from OpenAlex, Rachel L. Neo has authored 20 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sociology and Political Science, 11 papers in Communication and 3 papers in Social Psychology. Recurrent topics in Rachel L. Neo's work include Social Media and Politics (11 papers), Media Studies and Communication (5 papers) and Misinformation and Its Impacts (4 papers). Rachel L. Neo is often cited by papers focused on Social Media and Politics (11 papers), Media Studies and Communication (5 papers) and Misinformation and Its Impacts (4 papers). Rachel L. Neo collaborates with scholars based in United States, Singapore and Ireland. Rachel L. Neo's co-authors include Marko M. Škorić, R. Garrett, Benjamin K. Johnson, Brian E. Weeks, Shira Dvir-Gvirsman, Yariv Tsfati, Aysenur Dal, Benjamin H. Detenber, Shirley S. Ho and Shelly Malik and has published in prestigious journals such as Computers in Human Behavior, Communication Research and Human Communication Research.

In The Last Decade

Rachel L. Neo

19 papers receiving 658 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel L. Neo United States 9 496 326 118 104 69 20 705
Francis Dalisay United States 15 353 0.7× 330 1.0× 68 0.6× 45 0.4× 51 0.7× 44 623
Benjamin R. Warner United States 16 419 0.8× 403 1.2× 184 1.6× 22 0.2× 85 1.2× 40 734
Darren L. Linvill United States 11 300 0.6× 234 0.7× 68 0.6× 72 0.7× 31 0.4× 39 545
Patrick C. Meirick United States 13 392 0.8× 350 1.1× 94 0.8× 36 0.3× 151 2.2× 29 618
Ingrid Bachmann Chile 17 399 0.8× 507 1.6× 78 0.7× 43 0.4× 49 0.7× 58 735
Svenja Schäfer Austria 11 432 0.9× 282 0.9× 26 0.2× 75 0.7× 98 1.4× 18 604
Rachel Kuo United States 8 310 0.6× 307 0.9× 64 0.5× 74 0.7× 58 0.8× 20 681
Piotr S. Bobkowski United States 12 372 0.8× 235 0.7× 29 0.2× 110 1.1× 67 1.0× 30 623
Stephanie Edgerly United States 21 798 1.6× 967 3.0× 123 1.0× 76 0.7× 145 2.1× 47 1.2k
Nicoleta Corbu Romania 13 500 1.0× 360 1.1× 114 1.0× 29 0.3× 60 0.9× 45 670

Countries citing papers authored by Rachel L. Neo

Since Specialization
Citations

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

Fields of papers citing papers by Rachel L. Neo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel L. Neo. 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 Rachel L. Neo. The network helps show where Rachel L. Neo may publish in the future.

Co-authorship network of co-authors of Rachel L. Neo

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel L. Neo. A scholar is included among the top collaborators of Rachel L. Neo 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 Rachel L. Neo. Rachel L. Neo 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.
Neo, Rachel L.. (2025). Exposure to counter-attitudinal information on Twitter/X and political activity. Journal of Information Technology & Politics. 1–15.
2.
Neo, Rachel L.. (2021). Linking perceived political network homogeneity with political social media use via perceived social media news credibility. Journal of Information Technology & Politics. 18(3). 355–369. 3 indexed citations
3.
Buente, Wayne, et al.. (2020). Tradition Gone Mobile: An Exploration of #Betelnut on Instagram. Substance Use & Misuse. 55(9). 1483–1492. 4 indexed citations
4.
Buente, Wayne, et al.. (2020). Examining Factors Associated With Facebook Use Among Sheltered Homeless in Hawai'i. International journal of communication. 14. 23. 5 indexed citations
5.
Bergstrom, Kelly & Rachel L. Neo. (2020). Searching for the stairway to heaven: information seeking about an illegal hiking trail in Hawai`i. Leisure Studies. 39(5). 751–764. 4 indexed citations
6.
Neo, Rachel L. & Benjamin K. Johnson. (2020). Online products and consumers: Partisan ratings and mechanisms for affective polarization. Telematics and Informatics. 54. 101467–101467. 1 indexed citations
7.
Johnson, Benjamin K., et al.. (2019). Issues, involvement, and influence: Effects of selective exposure and sharing on polarization and participation. Computers in Human Behavior. 104. 106155–106155. 33 indexed citations
10.
Garrett, R., Brian E. Weeks, & Rachel L. Neo. (2016). Driving a Wedge Between Evidence and Beliefs: How Online Ideological News Exposure Promotes Political Misperceptions. Journal of Computer-Mediated Communication. 21(5). 331–348. 110 indexed citations
11.
Neo, Rachel L.. (2015). Favoritism or Animosity? Examining How SNS Network Homogeneity Influences Vote Choice via Affective Mechanisms. International Journal of Public Opinion Research. 28(4). 461–483. 4 indexed citations
12.
Detenber, Benjamin H., et al.. (2014). Rights Versus Morality: Online Debate About Decriminalization of Gay Sex in Singapore. Journal of Homosexuality. 61(9). 1313–1333. 9 indexed citations
13.
Garrett, R., Shira Dvir-Gvirsman, Benjamin K. Johnson, et al.. (2014). Implications of Pro- and Counterattitudinal Information Exposure for Affective Polarization. Human Communication Research. 40(3). 309–332. 210 indexed citations
14.
Ho, Shirley S., et al.. (2013). Examining How Presumed Media Influence Affects Social Norms and Adolescents' Attitudes and Drinking Behavior Intentions in Rural Thailand. Journal of Health Communication. 19(3). 282–302. 36 indexed citations
15.
Detenber, Benjamin H., et al.. (2012). Influence of value predispositions, interpersonal contact, and mediated exposure on public attitudes toward homosexuals in Singapore. Asian Journal Of Social Psychology. 16(3). 181–196. 38 indexed citations
16.
Detenber, Benjamin H., et al.. (2012). Examining Education and Newsroom Work Experience as Predictors of Communication Students’ Perceptions of Journalism Ethics. Journalism & Mass Communication Educator. 67(1). 45–69. 7 indexed citations
17.
Ho, Shirley S., Benjamin H. Detenber, Shelly Malik, & Rachel L. Neo. (2012). The roles of value predispositions, communication, and third person perception on public support for censorship of films with homosexual content. Asian Journal of Communication. 22(1). 78–97. 17 indexed citations
18.
Škorić, Marko M., et al.. (2009). Children and Video Games: Addiction, Engagement, and Scholastic Achievement. CyberPsychology & Behavior. 12(5). 567–572. 191 indexed citations
19.
Neo, Rachel L. & Marko M. Škorić. (2009). Problematic Instant Messaging Use. Journal of Computer-Mediated Communication. 14(3). 627–657. 20 indexed citations
20.
Neo, Rachel L. & Marko M. Škorić. (2008). Problematic Instant Messaging Use Among University Students. 1–40. 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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