Chau-Nan Chen

834 citations
22 papers · 501 · h-index 8

Impact in

Papers in

Chau-Nan Chen

20 papers receiving 400 citations

Peers

Chau-Nan Chen
Comparison fields: 5 of 66
  • General Economics, Econometrics and Finance 138
  • Economics and Econometrics 275
  • Finance 78
  • General Agricultural and Biological Sciences 57
  • Sociology and Political Science 248
Replace Pradeep K. Mitra with:
Pradeep K. Mitra United States
John P. Lewis United States
Kazushi Ohkawa Japan
Ashok Rudra India
Ajit K. Ghose India
Surjit S. Bhalla United States
Siddig A. Salih Finland
Shirley W. Y. Kuo United States
George Fane Australia
John C. H. Fei United States
Chau-Nan Chen relative to Pradeep K. Mitra United States Pradeep K. Mitra's profile →
Citations per field
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Pradeep K. Mitra · 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 3 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 1980277
2 1982115
3 197215
4 197515
5 197513
6 197611
7 197310
8 19738
9 19896
10 19755
11 19855
12 19844
13 19834
14 19853
15 19743
16 19812
17 19871
18 19881
19 19811
20 19751

About Chau-Nan Chen

Chau-Nan Chen is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Finance, Accounting and Demography, having authored 22 papers that have together received 501 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 Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (138 citations), Economics and Econometrics (275 citations), Finance (78 citations), General Agricultural and Biological Sciences (57 citations) and Sociology and Political Science (248 citations). Chau-Nan Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Graham Pyatt, 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, Canadian Journal of Economics/Revue canadienne d économique 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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