Barbara K. Kaye
- Sociology and Political Science top 0.5%
- Communication top 0.1%
- Information Systems and Management top 1%
- Artificial Intelligence top 5%
- Literature and Literary Theory top 1%
- Co-authors
- Thomas J. JohnsonT. JohnsonChang Sup ParkBarry S. SapolskyShannon L. BichardThomas G. JohnsonNorman J. MedoffQian Liu
- Topics
- Social Media and Politics (43 papers)Media Studies and Communication (29 papers)Impact of Technology on Adolescents (17 papers)
- Journals
- Computers in Human BehaviorAmerican Behavioral ScientistJournal of Computer-Mediated Communication
- Partner nations
- United StatesChileDenmark
In The Last Decade
Barbara K. Kaye
71 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 121
- Sociology and Political Science 2.6k
- Communication 2.4k
- Information Systems and Management 404
- Artificial Intelligence 392
- Literature and Literary Theory 328
Countries citing papers authored by Barbara K. Kaye
This map shows the geographic impact of Barbara K. Kaye'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 Barbara K. Kaye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara K. Kaye more than expected).
Fields of papers citing papers by Barbara K. Kaye
This network shows the impact of papers produced by Barbara K. Kaye. 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 Barbara K. Kaye. The network helps show where Barbara K. Kaye may publish in the future.
Co-authorship network of co-authors of Barbara K. Kaye
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara K. Kaye. A scholar is included among the top collaborators of Barbara K. Kaye 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 Barbara K. Kaye. Barbara K. Kaye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Think the Vote: Information Processing, Selective Exposure to Social Media, and Support for Trump and Clinton | 3 |
| 3 | 48 | |
| 4 | 20 | |
| 5 | 4 | |
| 6 | 69 | |
| 7 | 29 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 18 | |
| 11 | 50 | |
| 12 | 18 | |
| 13 | 55 | |
| 14 | 42 | |
| 15 | 127 | |
| 16 | 23 | |
| 17 | 17 | |
| 18 | 43 | |
| 19 | The World Wide Web: A Mass Communication Perspective | 21 |
| 20 | 114 |
About Barbara K. Kaye
Barbara K. Kaye is a scholar working on Communication, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 73 papers that have together received 3.8k indexed citations. Recurring topics across this work include Social Media and Politics (43 papers), Media Studies and Communication (29 papers) and Impact of Technology on Adolescents (17 papers). The work is most often cited by research in Communication (2.4k citations), Sociology and Political Science (2.6k citations) and Information Systems and Management (404 citations). Barbara K. Kaye has collaborated with scholars based in United States, Chile and Denmark. Frequent co-authors include Thomas J. Johnson, T. Johnson, Chang Sup Park, Barry S. Sapolsky, Shannon L. Bichard, Thomas G. Johnson, Norman J. Medoff, Qian Liu, Daniel M. Shafer and Angela M. Lee. Their work appears in journals such as Computers in Human Behavior, American Behavioral Scientist and Journal of Computer-Mediated Communication.
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.