Ivan B. Dylko
- Communication top 2%
- Sociology and Political Science top 10%
- Political Science and International Relations top 10%
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Co-authors
- Michael McCluskeyMaría D. MolinaWilliam HoffmanIgor DolgovFei ShenMichael A. BeamKristen D. LandrevilleJörg Matthes
- Topics
- Social Media and Politics (10 papers)Media Studies and Communication (9 papers)Electoral Systems and Political Participation (3 papers)
- Partner nations
- United StatesHong KongAustria
In The Last Decade
Ivan B. Dylko
11 papers receiving 307 citations
Peers
Comparison fields: 5 of 50
- Communication 245
- Sociology and Political Science 228
- Political Science and International Relations 46
- Statistical and Nonlinear Physics 42
- Artificial Intelligence 36
Countries citing papers authored by Ivan B. Dylko
This map shows the geographic impact of Ivan B. Dylko'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 Ivan B. Dylko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan B. Dylko more than expected).
Fields of papers citing papers by Ivan B. Dylko
This network shows the impact of papers produced by Ivan B. Dylko. 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 Ivan B. Dylko. The network helps show where Ivan B. Dylko may publish in the future.
Co-authorship network of co-authors of Ivan B. Dylko
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan B. Dylko. A scholar is included among the top collaborators of Ivan B. Dylko 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 Ivan B. Dylko. Ivan B. Dylko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 79 | |
| 2 | 25 | |
| 3 | 50 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 28 | |
| 7 | 42 | |
| 8 | 48 | |
| 9 | Explication of Political User-Generated Content and Theorizing about Its Effects on Democracy with a Mix-of-Attributes Approach and Documenting Attribute Presence with a Quantitative Content Analysis | 1 |
| 10 | 42 | |
| 11 | 19 | |
| 12 | Gatekeeping and YouTube: News Filters and the Intermedia Dynamic in the Age of User-Generated Content | 0 |
About Ivan B. Dylko
Ivan B. Dylko is a scholar working on Communication, Political Science and International Relations and Statistical and Nonlinear Physics, having authored 12 papers that have together received 341 indexed citations. Recurring topics across this work include Social Media and Politics (10 papers), Media Studies and Communication (9 papers) and Electoral Systems and Political Participation (3 papers). The work is most often cited by research in Communication (245 citations), Sociology and Political Science (228 citations) and Statistical and Nonlinear Physics (42 citations). Ivan B. Dylko has collaborated with scholars based in United States, Hong Kong and Austria. Frequent co-authors include Michael McCluskey, María D. Molina, William Hoffman, Igor Dolgov, Fei Shen, Michael A. Beam, Kristen D. Landreville, Jörg Matthes, William P. Eveland and Hernando Rojas. Their work appears in journals such as Computers in Human Behavior, New Media & Society and Journal of Broadcasting & Electronic Media.
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.