Chau-Nan Chen

816 citations
22 papers · 461 · h-index 8

Impact in

Papers in

Chau-Nan Chen

19 papers receiving 391 citations

Peers

Chau-Nan Chen
Comparison fields: 5 of 68
  • General Economics, Econometrics and Finance 131
  • Economics and Econometrics 257
  • General Agricultural and Biological Sciences 57
  • Finance 60
  • Sociology and Political Science 218
Replace Sukhamoy Chakravarty with:
Sukhamoy Chakravarty India
C. J. Bliss United Kingdom
Shirley W. Y. Kuo Taiwan
Stefano Fenoaltea Italy
John C. H. Fei United States
Ajit K. Ghose India
Siddig A. Salih Finland
Ram D. Singh United States
Bernard Walters United Kingdom
George Fane Australia
Chau-Nan Chen relative to Sukhamoy Chakravarty India Sukhamoy Chakravarty's profile →
Citations per field
00.5×5.7×
Sukhamoy Chakravarty · 1×
Citations per year

Countries citing papers authored by Chau-Nan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chau-Nan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Chau-Nan 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 Chau-Nan Chen Line = papers co-authored together Chau-Nan Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980248
2 1982106
3 197516
4 197515
5 197214
6 197612
7 19738
8 19738
9 19855
10 19755
11 19894
12 19844
13 19833
14 19743
15 19832
16 19852
17 19812
18 19811
19 19751
20 19881

About Chau-Nan Chen

Chau-Nan Chen is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Sociology and Political Science and Political Science and International Relations, having authored 22 papers that have together received 461 indexed citations. Recurring topics across this work include Economic theories and models (11 papers), Economic Theory and Policy (10 papers), Monetary Policy and Economic Impact (8 papers), Global Financial Crisis and Policies (6 papers), Income, Poverty, and Inequality (2 papers), Fiscal Policy and Economic Growth (2 papers), Fiscal Policies and Political Economy (1 paper) and Economic Growth and Productivity (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (131 citations), Economics and Econometrics (257 citations), General Agricultural and Biological Sciences (57 citations), Finance (60 citations) and Sociology and Political Science (218 citations). Chau-Nan Chen has collaborated with scholars based in Taiwan, Canada and China. Frequent co-authors include Graham Pyatt, John Fei, Ching‐chong Lai and Wen‐Ya Chang. Their work appears in journals such as The Quarterly Journal of Economics, Oxford Economic Papers, Journal of Political Economy, Review of Quantitative Finance and Accounting and Economic Inquiry.

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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