Angus C. Chu

73 papers receiving 1.2k citations

Peers

Angus C. Chu
Comparison fields: 5 of 71
  • Economics and Econometrics 1.2k
  • General Economics, Econometrics and Finance 278
  • Management of Technology and Innovation 240
  • Accounting 95
  • Information Systems 89
Replace K. Peren Arın with:
K. Peren Arın United Arab Emirates
Reto Foellmi Switzerland
Juan Carlos Cuestas Spain
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Gino Gancia Spain
Yundan Gong United Kingdom
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Huw Lloyd‐Ellis Canada
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Citations per field
00.5×4.1×
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Citations per year

Countries citing papers authored by Angus C. Chu

Since Specialization
Citations

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

Fields of papers citing papers by Angus C. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angus C. Chu. 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 Angus C. Chu. The network helps show where Angus C. Chu may publish in the future.

Co-authorship network of co-authors of Angus C. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Angus C. Chu. A scholar is included among the top collaborators of Angus C. Chu 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 Angus C. Chu. Angus C. Chu 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 0
2 1
3 2
4 0
5 7
6 5
7 4
8 0
9
Percepções da qualidade de vida em atletas paralímpicos com lesão medular
4
10
Human Capital and Innovation in a Monetary Schumpeterian Growth Model
29
11 9
12
Labor Unions, Directed Technical Change and Cross-Country Income Inequality
0
13
Search and endogenous growth: when Romer meets Lagos and Wright
2
14 43
15
Macroeconomic Effects of Intellectual Property Rights: A Survey
3
16 4
17
Effects of TRIPS on Growth, Welfare and Income Inequality in an R&D-Growth Model
1
18
Economic Growth and Patent Policy: Quantifying the Effects of Patent Length on R&D and Consumption
3
19 5
20
Ardó Mária levele Scheiber Sándornak
24

About Angus C. Chu

Angus C. Chu is a scholar working on Management of Technology and Innovation, Economics and Econometrics and General Economics, Econometrics and Finance, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include Economic Growth and Productivity (57 papers), Fiscal Policy and Economic Growth (26 papers) and Economic theories and models (21 papers). The work is most often cited by research in Economics and Econometrics (1.2k citations), Management of Technology and Innovation (240 citations) and General Economics, Econometrics and Finance (278 citations). Angus C. Chu has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Guido Cozzi, Yuichi Furukawa, Silvia Galli, Haichao Fan, Pietro F. Peretto, Ching‐chong Lai, Xi‐Lin Wang, Shin‐Kun Peng, Xilin Wang and Dongming Zhu. Their work appears in journals such as Journal of Development Economics, Environmental Toxicology and Chemistry and Journal of International Economics.

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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