Scarlet Chen

1.4k citations
7 papers · 766 · 1 hit paper · h-index 5

Impact in

Papers in

Scarlet Chen

6 papers receiving 733 citations

Scarlet Chen's Hit Papers

Economic uncertainty before and during the COVID-19 pandemic 2020 · 683 citations
6830+2+4Years since publication200400600

Peers

Scarlet Chen
Comparison fields: 5 of 77
  • Modeling and Simulation 94
  • Economics and Econometrics 527
  • Finance 126
  • General Economics, Econometrics and Finance 102
  • Accounting 99
Replace Pawel Smietanka with:
Pawel Smietanka United States
Emil Mihaylov United States
Sergio Correia United States
Philip Bunn United Kingdom
Gregory Thwaites United Kingdom
Michaela Pagel United States
Enzo Weber Germany
Francesco Grigoli United States
Arlene Wong United States
R.A. Farrokhnia United States
Scarlet Chen relative to Pawel Smietanka United States Pawel Smietanka's profile →
Citations per field
00.5×1.5×
Pawel Smietanka · 1×
Citations per year

Countries citing papers authored by Scarlet Chen

Since Specialization
Citations

This map shows the geographic impact of Scarlet Chen'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 Scarlet Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scarlet Chen more than expected).

Fields of papers citing papers by Scarlet Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scarlet Chen. 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 Scarlet Chen. The network helps show where Scarlet Chen may publish in the future.

Co-authors

The 14 scholars most cited alongside Scarlet Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scarlet Chen Line = papers co-authored together Scarlet Chen links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Economic uncertainty before and during the COVID-19 pandemic
Hit paper breakdown →
2020683
2 201834
3 202024
4 201912
5 202012
6 20191
7 20190

About Scarlet Chen

Scarlet Chen is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Strategy and Management, Sociology and Political Science and Finance, having authored 7 papers that have together received 766 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (5 papers), Monetary Policy and Economic Impact (4 papers), Energy, Environment, Economic Growth (2 papers), Climate Change Policy and Economics (2 papers), State Capitalism and Financial Governance (1 paper), Demographic Trends and Gender Preferences (1 paper), Family Dynamics and Relationships (1 paper) and COVID-19 Pandemic Impacts (1 paper). The work is most often cited by research in Modeling and Simulation (94 citations), Economics and Econometrics (527 citations), Finance (126 citations), General Economics, Econometrics and Finance (102 citations) and Accounting (99 citations). Scarlet Chen has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Paul Mizen, Nicholas Bloom, Pawel Smietanka, Philip Bunn, Gregory Thwaites, Brent Meyer, N. G. Parker, Jose Maria Barrero, Emil Mihaylov and Steven J. Davis. Their work appears in journals such as Fiscal Studies, Journal of Public Economics and SSRN Electronic Journal.

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.

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