John E. Silvia
- Economics and Econometrics top 5%
- General Economics, Econometrics and Finance top 2%
- Finance top 5%
- Accounting top 10%
- Sociology and Political Science
- Co-authors
- Olivier CoibionYuriy GorodnichenkoLorenz KuengRobert SchenkThomas J. DoughertyHuiwen LaiJohn H. PiersonTim Quinlan
- Topics
- Monetary Policy and Economic Impact (17 papers)Economic Theory and Policy (10 papers)Market Dynamics and Volatility (5 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
John E. Silvia
34 papers receiving 431 citations
Hit Papers
Peers
Comparison fields: 5 of 37
- Economics and Econometrics 337
- General Economics, Econometrics and Finance 295
- Finance 124
- Accounting 68
- Sociology and Political Science 63
Countries citing papers authored by John E. Silvia
This map shows the geographic impact of John E. Silvia'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 E. Silvia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Silvia more than expected).
Fields of papers citing papers by John E. Silvia
This network shows the impact of papers produced by John E. Silvia. 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 E. Silvia. The network helps show where John E. Silvia may publish in the future.
Co-authorship network of co-authors of John E. Silvia
This figure shows the co-authorship network connecting the top 25 collaborators of John E. Silvia. A scholar is included among the top collaborators of John E. Silvia 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 John E. Silvia. John E. Silvia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Characteristics of COVID-19 Workplace Clusters in Rhode Island. | 1 |
| 2 | 2 | |
| 3 | Ranking Professional Forecasters in an Unbalanced Panel: A New Approach | 1 |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 46 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | The Empirical Evidence of Mean Diversion in the U.S. Labor Market 1970-2009 | 1 |
| 11 | 2 | |
| 12 | Dynamic Economic Decision Making: Strategies for Financial Risk, Capital Markets, and Monetary Policy | 3 |
| 13 | Credit Shocks: Three Questions | 1 |
| 14 | 2 | |
| 15 | Where Are the Jobs | 8 |
| 16 | 6 | |
| 17 | 17 | |
| 18 | Monetary Indicators of Economic Activity | 3 |
| 19 | 2 | |
| 20 | 2 |
About John E. Silvia
John E. Silvia is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 36 papers that have together received 473 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (17 papers), Economic Theory and Policy (10 papers) and Market Dynamics and Volatility (5 papers). The work is most often cited by research in General Economics, Econometrics and Finance (295 citations), Finance (124 citations) and Economics and Econometrics (337 citations). John E. Silvia has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Olivier Coibion, Yuriy Gorodnichenko, Lorenz Kueng, Robert Schenk, Thomas J. Dougherty, Huiwen Lai, John H. Pierson, Tim Quinlan, James Rajotte and S. Moore. Their work appears in journals such as Journal of Monetary Economics, Southern Economic Journal and The Journal of Economic Education.
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.