Stephen McCreery
- Communication top 2%
- Sociology and Political Science top 10%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence
- Political Science and International Relations top 10%
- Co-authors
- Itai HimelboimMarc A. SmithTsan‐Kuo ChangDean Μ. KrugmanJameson L. HayesBrian CreechBrian Britt
- Topics
- Social Media and Politics (3 papers)Digital Games and Media (2 papers)Digital Marketing and Social Media (2 papers)
- Journals
- Journal of Computer-Mediated CommunicationJournal of Broadcasting & Electronic MediaJournalism & Mass Communication Quarterly
- Partner nations
- United StatesHong Kong
In The Last Decade
Stephen McCreery
7 papers receiving 378 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Communication 307
- Sociology and Political Science 220
- Statistical and Nonlinear Physics 114
- Artificial Intelligence 71
- Political Science and International Relations 49
Countries citing papers authored by Stephen McCreery
This map shows the geographic impact of Stephen McCreery'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 Stephen McCreery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen McCreery more than expected).
Fields of papers citing papers by Stephen McCreery
This network shows the impact of papers produced by Stephen McCreery. 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 Stephen McCreery. The network helps show where Stephen McCreery may publish in the future.
Co-authorship network of co-authors of Stephen McCreery
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen McCreery. A scholar is included among the top collaborators of Stephen McCreery 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 Stephen McCreery. Stephen McCreery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | Birds of a Feather Tweet Together: Integrating Network and Content Analyses to Examine Cross-Ideology Exposure on Twitterbreakdown → | 356 |
| 6 | 1 | |
| 7 | 29 |
About Stephen McCreery
Stephen McCreery is a scholar working on Communication, Statistical and Nonlinear Physics and Information Systems and Management, having authored 7 papers that have together received 409 indexed citations. Recurring topics across this work include Social Media and Politics (3 papers), Digital Games and Media (2 papers) and Digital Marketing and Social Media (2 papers). The work is most often cited by research in Communication (307 citations), Statistical and Nonlinear Physics (114 citations) and Sociology and Political Science (220 citations). Stephen McCreery has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Itai Himelboim, Marc A. Smith, Tsan‐Kuo Chang, Dean Μ. Krugman, Jameson L. Hayes, Brian Creech and Brian Britt. Their work appears in journals such as Journal of Computer-Mediated Communication, Journal of Broadcasting & Electronic Media and Journalism & Mass Communication Quarterly.
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.