Taylor Brown
Impact in
- Communication top 1%
- Social Media and Politics
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- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
Papers in
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- Social and Cultural Dynamics 1
- Sex work and related issues 1
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- Social Media and Politics 3
- Co-authors
- Christopher A. Bail (4 shared papers)Marcus Mann (3 shared papers)Haohan Chen (2 shared papers)Lisa P. Argyle (2 shared papers)Friedolin Merhout (2 shared papers)Alexander Volfovsky (2 shared papers)M. B. Fallin Hunzaker (2 shared papers)Jaemin Lee (1 shared paper)
- Journals
- Cochrane Database of Systematic Reviews (2 papers)Adoption Quarterly (1 paper)American Journal of Sociology (1 paper)American Sociological Review (1 paper)SSM - Population Health (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Taylor Brown
8 papers receiving 1.0k citations
Taylor Brown's Hit Papers
Peers
Comparison fields: 5 of 94
- Communication 567
- Statistical and Nonlinear Physics 245
- Sociology and Political Science 684
- General Social Sciences 38
- Political Science and International Relations 191
Countries citing papers authored by Taylor Brown
This map shows the geographic impact of Taylor Brown'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 Taylor Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor Brown more than expected).
Fields of papers citing papers by Taylor Brown
This network shows the impact of papers produced by Taylor Brown. 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 Taylor Brown. The network helps show where Taylor Brown may publish in the future.
Co-authors
The 16 scholars most cited alongside Taylor Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Exposure to opposing views on social media can increase political polarization Hit paper breakdown → | 2018 | 904 |
| 2 | 2017 | 55 | |
| 3 | 2021 | 42 | |
| 4 | 2014 | 28 | |
| 5 | 2019 | 17 | |
| 6 | 2018 | 11 | |
| 7 | 2014 | 9 | |
| 8 | 2015 | 8 | |
| 9 | Making it Happen: Political will for gender equality in education | 2005 | 2 |
About Taylor Brown
Taylor Brown is a scholar working on Sociology and Political Science, Communication, Statistical and Nonlinear Physics, Pediatrics, Perinatology and Child Health and Clinical Psychology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Social Media and Politics (3 papers), Opinion Dynamics and Social Influence (3 papers), Early Childhood Education and Development (2 papers), Family and Disability Support Research (2 papers), Infant Development and Preterm Care (2 papers), Social and Cultural Dynamics (1 paper), Child Welfare and Adoption (1 paper) and Sex work and related issues (1 paper). The work is most often cited by research in Communication (567 citations), Statistical and Nonlinear Physics (245 citations), Sociology and Political Science (684 citations), General Social Sciences (38 citations) and Political Science and International Relations (191 citations). Taylor Brown has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Christopher A. Bail, Marcus Mann, Haohan Chen, Lisa P. Argyle, Friedolin Merhout, Alexander Volfovsky, M. B. Fallin Hunzaker, Jaemin Lee, Rebecca Waller and Evan Mayo‐Wilson. Their work appears in journals such as Cochrane Database of Systematic Reviews, Adoption Quarterly, American Journal of Sociology, American Sociological Review and SSM - Population Health.
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.