Hyunyoung Choi

3.0k citations
7 papers · 2.0k indexed · 1 hit paper · h-index 5
Topics
Data-Driven Disease Surveillance (5 papers)Economic and Environmental Valuation (1 paper)Technology Adoption and User Behaviour (1 paper)
Journals
Economic RecordSSRN Electronic JournalJournal of Health Informatics and Statistics
Partner nations
United StatesSouth Korea

In The Last Decade

Hyunyoung Choi

7 papers receiving 1.8k citations

Hit Papers

Predicting the Present with Google Trends2012202620162021201250010001.5k

Peers

Hyunyoung Choi
Comparison fields: 5 of 132
  • Economics and Econometrics 607
  • Sociology and Political Science 590
  • Epidemiology 587
  • Marketing 287
  • Finance 248
Replace Michael Bailey with:
Michael Bailey United States
Michael D. Intriligator United States
Scott Duke Kominers United States
Seung‐pyo Jun South Korea
Theresa Kuchler United States
John Gerdes United States
Jason Abrevaya United States
Richard Paap Netherlands
Zhi Da United States
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Hyunyoung Choi relative to Michael Bailey United States Michael Bailey's profile →
Citations per field
00.5×10×17.3×
Michael Bailey · 1×
Citations per year

Countries citing papers authored by Hyunyoung Choi

Since Specialization
Citations

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

Fields of papers citing papers by Hyunyoung Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyunyoung Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Hyunyoung Choi. A scholar is included among the top collaborators of Hyunyoung Choi 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 Hyunyoung Choi. Hyunyoung Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 1
3
Predicting the Present with Google Trendsbreakdown →
1503
4 6
5
Google Correlate Whitepaper
44
6
Predicting Initial Claims for Unemployment Benefits
145
7 304

About Hyunyoung Choi

Hyunyoung Choi is a scholar working on Toxicology, Transportation and Information Systems and Management, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (5 papers), Economic and Environmental Valuation (1 paper) and Technology Adoption and User Behaviour (1 paper). The work is most often cited by research in Marketing (287 citations), Modeling and Simulation (134 citations) and Transportation (190 citations). Hyunyoung Choi has collaborated with scholars based in United States and South Korea. Frequent co-authors include Hal R. Varian, Julia Kodysh, Sanjiv Kumar, Paul Liu and Nam‐Kyong Choi. Their work appears in journals such as Economic Record, SSRN Electronic Journal and Journal of Health Informatics and Statistics.

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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