Scarlet Chen

1.4k citations
7 papers · 743 indexed · 1 hit paper · h-index 5

Impact in

Papers in

Scarlet Chen

6 papers receiving 704 citations

Hit Papers

Economic uncertainty before and during the COVID-19 pandemic 2020 · 663 citations
6632020202620222024200400600

Peers

Scarlet Chen
Comparison fields: 5 of 79
  • Modeling and Simulation 98
  • Economics and Econometrics 528
  • Finance 126
  • General Economics, Econometrics and Finance 100
  • Accounting 95
Replace Pawel Smietanka with:
Pawel Smietanka United Kingdom
Emil Mihaylov United States
Philip Bunn United Kingdom
Sergio Correia United States
Michaela Pagel United States
Gregory Thwaites United Kingdom
Arlene Wong United States
R.A. Farrokhnia United States
Enzo Weber Germany
Sebastian Siegloch Germany
Scarlet Chen relative to Pawel Smietanka United Kingdom 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-authorship network

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 202023
2
Economic uncertainty before and during the COVID-19 pandemic
Hit paper breakdown →
2020663
3 202012
4 201912
5 20191
6 20190
7 201832

About Scarlet Chen

Scarlet Chen is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Gender Studies, Finance and Demography, having authored 7 papers that have together received 743 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), Intergenerational Family Dynamics and Caregiving (1 paper), Financial Markets and Investment Strategies (1 paper), COVID-19 Pandemic Impacts (1 paper) and Family Dynamics and Relationships (1 paper). The work is most often cited by research in Modeling and Simulation (98 citations), Economics and Econometrics (528 citations), Finance (126 citations), General Economics, Econometrics and Finance (100 citations) and Accounting (95 citations). Scarlet Chen has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Nicholas Bloom, Paul Mizen, Philip Bunn, Pawel Smietanka, Gregory Thwaites, N. G. Parker, Scott Baker, Steven J. Davis, Thomas Renault and Emil Mihaylov. Their work appears in journals such as Journal of Public Economics, Fiscal Studies 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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