Brian An
Impact in
- Public Administration top 10%
- Public Policy and Administration Research
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in ⓘ
-
- Housing Market and Economics 12
- COVID-19 Pandemic Impacts 5
-
- Urban, Neighborhood, and Segregation Studies 6
- Co-authors
- Ching‐Ping Tang (3 shared papers)Simon Porcher (6 shared papers)Raphael W. Bostic (8 shared papers)Shui‐Yan Tang (4 shared papers)Morris Levy (1 shared paper)Michael Thom (1 shared paper)Rodney E. Hero (1 shared paper)Joshua Mitchell (4 shared papers)
- Journals
- Public Administration Review (3 papers)The American Review of Public Administration (2 papers)Journal of Planning Education and Research (2 papers)Housing Studies (1 paper)Cities (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Brian An
37 papers receiving 357 citations
Peers
Comparison fields: 5 of 76
- Public Administration 45
- Modeling and Simulation 58
- Economics and Econometrics 114
- Finance 40
- Urban Studies 23
Countries citing papers authored by Brian An
This map shows the geographic impact of Brian An'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 Brian An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian An more than expected).
Fields of papers citing papers by Brian An
This network shows the impact of papers produced by Brian An. 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 Brian An. The network helps show where Brian An may publish in the future.
Co-authors
The 17 scholars most cited alongside Brian An, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 89 | |
| 2 | 2021 | 35 | |
| 3 | 2019 | 31 | |
| 4 | 2018 | 29 | |
| 5 | 2016 | 20 | |
| 6 | 2020 | 14 | |
| 7 | 2021 | 14 | |
| 8 | 2017 | 13 | |
| 9 | 2023 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2023 | 5 |
About Brian An
Brian An is a scholar working on Economics and Econometrics, Sociology and Political Science, Political Science and International Relations, Finance and Public Administration, having authored 41 papers that have together received 370 indexed citations. Recurring topics across this work include Housing Market and Economics (12 papers), Policy Transfer and Learning (6 papers), Urban, Neighborhood, and Segregation Studies (6 papers), Housing, Finance, and Neoliberalism (6 papers), COVID-19 Pandemic Impacts (5 papers), demographic modeling and climate adaptation (4 papers), Public Policy and Administration Research (4 papers) and Financial Literacy, Pension, Retirement Analysis (4 papers). The work is most often cited by research in Public Administration (45 citations), Modeling and Simulation (58 citations), Economics and Econometrics (114 citations), Finance (40 citations) and Urban Studies (23 citations). Brian An has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Ching‐Ping Tang, Simon Porcher, Raphael W. Bostic, Shui‐Yan Tang, Morris Levy, Michael Thom, Rodney E. Hero, Joshua Mitchell, William D. Leach and Shui Yan Tang. Their work appears in journals such as Public Administration Review, The American Review of Public Administration, Journal of Planning Education and Research, Housing Studies and Cities.
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.