John C. Chao

957 citations
30 papers · 483 · h-index 12

Impact in

Papers in

John C. Chao

28 papers receiving 447 citations

Peers

John C. Chao
Comparison fields: 5 of 65
  • General Economics, Econometrics and Finance 218
  • Statistics and Probability 121
  • Finance 134
  • Economics and Econometrics 230
  • Management Science and Operations Research 52
Replace Marcelo Fernandes with:
Marcelo Fernandes United Kingdom
Melanie Schienle Germany
Thomas Breuer Austria
Anna Mikusheva United States
Yong Bao United States
Darrell A. Turkington Australia
Borus Jungbacker Netherlands
Katsuto Tanaka Japan
Samuel W. Woolford United States
Orlando Gomes Portugal
John C. Chao relative to Marcelo Fernandes United Kingdom Marcelo Fernandes's profile →
Citations per field
00.5×1.5×
Marcelo Fernandes · 1×
Citations per year

Countries citing papers authored by John C. Chao

Since Specialization
Citations

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

Fields of papers citing papers by John C. Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside John C. Chao, 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 John C. Chao Line = papers co-authored together John C. Chao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199978
2 201277
3 200171
4 200539
5 199838
6 199528
7 200621
8 199620
9 200619
10 200015
11 200413
12 200112
13 200210
14 20027
15 20107
16 20096
17 20055
18
Data Transformation and Forecasting in Models with Unit Roots and Cointegration
20014
19 20232
20 20172

About John C. Chao

John C. Chao is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Statistics and Probability and Surgery, having authored 30 papers that have together received 483 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (11 papers), Spatial and Panel Data Analysis (9 papers), Statistical Methods and Inference (5 papers), Financial Markets and Investment Strategies (4 papers), Financial Risk and Volatility Modeling (4 papers), Energy, Environment, Economic Growth (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Italy: Economic History and Contemporary Issues (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (218 citations), Statistics and Probability (121 citations), Finance (134 citations), Economics and Econometrics (230 citations) and Management Science and Operations Research (52 citations). John C. Chao has collaborated with scholars based in United States, Netherlands and New Zealand. Frequent co-authors include Norman R. Swanson, Peter C.B. Phillips, Valentina Corradi, Tiemen Woutersen, Whitney K. Newey, Jerry A. Hausman, Doron Avramov, F. Rizzo, Yijun Liu and P. A. Martin. Their work appears in journals such as Journal of Econometrics, Macroeconomic Dynamics, Studies in Nonlinear Dynamics and Econometrics, Hand and IEEE Transactions on Antennas and Propagation.

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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