Chadwick Curtis

494 total citations
10 papers, 232 citations indexed

About

Chadwick Curtis is a scholar working on Accounting, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Chadwick Curtis has authored 10 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Accounting, 5 papers in Economics and Econometrics and 4 papers in General Economics, Econometrics and Finance. Recurrent topics in Chadwick Curtis's work include Financial Literacy, Pension, Retirement Analysis (4 papers), Market Dynamics and Volatility (3 papers) and Economic Growth and Productivity (3 papers). Chadwick Curtis is often cited by papers focused on Financial Literacy, Pension, Retirement Analysis (4 papers), Market Dynamics and Volatility (3 papers) and Economic Growth and Productivity (3 papers). Chadwick Curtis collaborates with scholars based in United States. Chadwick Curtis's co-authors include Nelson C. Mark, Steven Lugauer and Kimberly Berg and has published in prestigious journals such as Journal of Banking & Finance, European Economic Review and Journal of money credit and banking.

In The Last Decade

Chadwick Curtis

9 papers receiving 215 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chadwick Curtis United States 5 127 108 60 39 38 10 232
Γεωργία Καπλάνογλου Greece 11 225 1.8× 79 0.7× 70 1.2× 34 0.9× 17 0.4× 23 299
Michael Kaganovich United States 9 308 2.4× 118 1.1× 59 1.0× 54 1.4× 42 1.1× 28 374
Scott Fulford United States 9 183 1.4× 152 1.4× 45 0.8× 18 0.5× 37 1.0× 28 275
Martín Gonzalez-Eiras Denmark 8 172 1.4× 102 0.9× 16 0.3× 58 1.5× 33 0.9× 23 251
Shanthi Ramnath United States 8 179 1.4× 122 1.1× 43 0.7× 51 1.3× 49 1.3× 35 266
Peter Levell United Kingdom 8 112 0.9× 40 0.4× 23 0.4× 39 1.0× 18 0.5× 32 198
Sabine Jokisch United States 8 130 1.0× 67 0.6× 39 0.7× 63 1.6× 47 1.2× 15 201
Junmin Wan Japan 10 286 2.3× 159 1.5× 43 0.7× 47 1.2× 32 0.8× 20 390
Álvaro Forteza Uruguay 8 104 0.8× 78 0.7× 34 0.6× 58 1.5× 69 1.8× 37 206
Alice Henriques Volz United States 10 173 1.4× 159 1.5× 41 0.7× 57 1.5× 28 0.7× 33 281

Countries citing papers authored by Chadwick Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Chadwick Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chadwick Curtis. 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 Chadwick Curtis. The network helps show where Chadwick Curtis may publish in the future.

Co-authorship network of co-authors of Chadwick Curtis

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

All Works

10 of 10 papers shown
1.
Curtis, Chadwick, et al.. (2025). Does the Phillips Curve Lie Down as We Age?. Journal of money credit and banking.
2.
Berg, Kimberly, Chadwick Curtis, & Nelson C. Mark. (2024). GDP and temperature: Evidence on cross-country response heterogeneity. European Economic Review. 169. 104833–104833. 4 indexed citations
3.
Berg, Kimberly, Chadwick Curtis, & Nelson C. Mark. (2023). GDP and Temperature: Evidence on Cross-Country Response Heterogeneity. SSRN Electronic Journal. 1 indexed citations
4.
Curtis, Chadwick, et al.. (2022). Working, consuming, and dying: Quantifying the diversity in the american experience. Journal of Economic Dynamics and Control. 138. 104357–104357. 3 indexed citations
5.
Curtis, Chadwick, Kimberly Berg, & Nelson C. Mark. (2022). GDP and Temperature: Evidence on Cross-Country Response Heterogeneity. SSRN Electronic Journal. 2 indexed citations
6.
Curtis, Chadwick, et al.. (2017). Inflation and the evolution of firm-level liquid assets. Journal of Banking & Finance. 81. 24–35. 18 indexed citations
7.
Curtis, Chadwick, Steven Lugauer, & Nelson C. Mark. (2017). Demographics and aggregate household saving in Japan, China, and India. Journal of Macroeconomics. 51. 175–191. 56 indexed citations
8.
Curtis, Chadwick, Steven Lugauer, & Nelson C. Mark. (2015). Demographics and Aggregate Household Saving in Japan, China, and India. RePEc: Research Papers in Economics. 1 indexed citations
9.
Curtis, Chadwick. (2015). Economic reforms and the evolution of China's total factor productivity. Review of Economic Dynamics. 21. 225–245. 36 indexed citations
10.
Curtis, Chadwick, Steven Lugauer, & Nelson C. Mark. (2015). Demographic Patterns and Household Saving in China. American Economic Journal Macroeconomics. 7(2). 58–94. 111 indexed citations

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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