Jang‐Ting Guo

2.0k citations
61 papers · 1.1k indexed · h-index 15

Jang‐Ting Guo

57 papers receiving 1.0k citations

Peers

Jang‐Ting Guo
Comparison fields: 5 of 52
  • Economics and Econometrics 1.0k
  • General Economics, Econometrics and Finance 658
  • Accounting 125
  • Gender Studies 87
  • Finance 64
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Countries citing papers authored by Jang‐Ting Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jang‐Ting Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jang‐Ting Guo. 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 Jang‐Ting Guo. The network helps show where Jang‐Ting Guo may publish in the future.

Co-authorship network of co-authors of Jang‐Ting Guo

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 6
4 3
5
Changing Social Preferences and Optimal Redistributive Taxation
3
6 30
7
On Expectations-Driven Business Cycles in Economies with Production Externalities: A Comment
4
8
Natural Resources and Economic Growth: Some Theory and Evidence *
27
9
On the growth and velocity effects of money
2
10 1
11
Income Inequality and Economic Growth: A Simple Theoretical Synthesis
0
12
Tax Policy Under Keeping Up with the Joneses and Imperfect Competition
9
13 49
14
On Business Cycles and Countercyclical Policies
3
15 2
16 29
17 55
18 1
19
Tax structure and welfare in a model of optimal fiscal policy
18
20
Tax structure, optimal fiscal policy, and the business cycle
2

About Jang‐Ting Guo

Jang‐Ting Guo is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Gender Studies, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Economic theories and models (45 papers), Fiscal Policy and Economic Growth (38 papers) and Monetary Policy and Economic Impact (31 papers). The work is most often cited by research in General Economics, Econometrics and Finance (658 citations), Economics and Econometrics (1.0k citations) and Accounting (125 citations). Jang‐Ting Guo has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Roger E. A. Farmer, Kevin J. Lansing, Sharon G. Harrison, Shu-Hua Chen, Alan Krause, Marcelle Chauvet, Dustin Chambers, Hung‐Ju Chen, Federico Sturzenegger and Rajeev Dhawan. Their work appears in journals such as Journal of Monetary Economics, Journal of Development Economics and Journal of Economic Theory.

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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