Kevin M. Wagner
- Communication top 1%
- Sociology and Political Science top 5%
- Political Science and International Relations top 2%
- Gender Studies top 10%
- Artificial Intelligence
- Co-authors
- Jason GainousJason P. AbbottMirya R. HolmanCharles E. ZieglerJeff GillZhaxylyk SabitovEric PrierAdam Enders
- Topics
- Social Media and Politics (24 papers)Electoral Systems and Political Participation (14 papers)Media Influence and Politics (7 papers)
- Partner nations
- United StatesPuerto RicoChina
In The Last Decade
Kevin M. Wagner
28 papers receiving 570 citations
Peers
Comparison fields: 5 of 55
- Communication 420
- Sociology and Political Science 297
- Political Science and International Relations 245
- Gender Studies 86
- Artificial Intelligence 72
Countries citing papers authored by Kevin M. Wagner
This map shows the geographic impact of Kevin M. Wagner'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 Kevin M. Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin M. Wagner more than expected).
Fields of papers citing papers by Kevin M. Wagner
This network shows the impact of papers produced by Kevin M. Wagner. 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 Kevin M. Wagner. The network helps show where Kevin M. Wagner may publish in the future.
Co-authorship network of co-authors of Kevin M. Wagner
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Wagner. A scholar is included among the top collaborators of Kevin M. Wagner 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 Kevin M. Wagner. Kevin M. Wagner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 21 | |
| 10 | 30 | |
| 11 | 11 | |
| 12 | 56 | |
| 13 | Stand Your Ground in Florida: The Effect of Race, Location and Weapons on Convictions | 2 |
| 14 | 70 | |
| 15 | 1 | |
| 16 | 38 | |
| 17 | Tweeting to Power: The Social Media Revolution in American Politics | 131 |
| 18 | 29 | |
| 19 | 6 | |
| 20 | 20 |
About Kevin M. Wagner
Kevin M. Wagner is a scholar working on Communication, Political Science and International Relations and Sociology and Political Science, having authored 31 papers that have together received 617 indexed citations. Recurring topics across this work include Social Media and Politics (24 papers), Electoral Systems and Political Participation (14 papers) and Media Influence and Politics (7 papers). The work is most often cited by research in Communication (420 citations), Political Science and International Relations (245 citations) and Gender Studies (86 citations). Kevin M. Wagner has collaborated with scholars based in United States, Puerto Rico and China. Frequent co-authors include Jason Gainous, Jason P. Abbott, Mirya R. Holman, Charles E. Ziegler, Jeff Gill, Zhaxylyk Sabitov, Eric Prier, Adam Enders, Monica Escaleras and Rongbin Han. Their work appears in journals such as Information Communication & Society, Social Science Quarterly and Political Research 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.