Todd A. Vermilyea
- Economics and Econometrics top 5%
- Finance top 5%
- General Economics, Econometrics and Finance top 5%
- Accounting top 10%
- Political Science and International Relations
- Co-authors
- Henry W. ChappellRob Roy McGregorMcKinley L. BlackburnElizabeth WebbLarry D. WallJulapa JagtianiWilliam W. LangLoretta J. Mester
- Topics
- Banking stability, regulation, efficiency (6 papers)Housing Market and Economics (5 papers)Fiscal Policies and Political Economy (3 papers)
- Partner nations
- United States
In The Last Decade
Todd A. Vermilyea
16 papers receiving 273 citations
Peers
Comparison fields: 5 of 32
- Economics and Econometrics 221
- Finance 133
- General Economics, Econometrics and Finance 125
- Accounting 70
- Political Science and International Relations 19
Countries citing papers authored by Todd A. Vermilyea
This map shows the geographic impact of Todd A. Vermilyea'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 Todd A. Vermilyea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd A. Vermilyea more than expected).
Fields of papers citing papers by Todd A. Vermilyea
This network shows the impact of papers produced by Todd A. Vermilyea. 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 Todd A. Vermilyea. The network helps show where Todd A. Vermilyea may publish in the future.
Co-authorship network of co-authors of Todd A. Vermilyea
This figure shows the co-authorship network connecting the top 25 collaborators of Todd A. Vermilyea. A scholar is included among the top collaborators of Todd A. Vermilyea 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 Todd A. Vermilyea. Todd A. Vermilyea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Roles of Big Data and Machine Learning in Bank Supervision | 15 |
| 2 | 10 | |
| 3 | 20 | |
| 4 | 1 | |
| 5 | The Role of the Bias in Crafting Consensus: FOMC Decision Making in the Greenspan Era | 14 |
| 6 | 9 | |
| 7 | 31 | |
| 8 | 35 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 17 | |
| 13 | 12 | |
| 14 | 49 | |
| 15 | 7 | |
| 16 | 47 |
About Todd A. Vermilyea
Todd A. Vermilyea is a scholar working on Finance, Accounting and Economics and Econometrics, having authored 16 papers that have together received 289 indexed citations. Recurring topics across this work include Banking stability, regulation, efficiency (6 papers), Housing Market and Economics (5 papers) and Fiscal Policies and Political Economy (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (125 citations), Finance (133 citations) and Economics and Econometrics (221 citations). Todd A. Vermilyea has collaborated with scholars based in United States. Frequent co-authors include Henry W. Chappell, Rob Roy McGregor, McKinley L. Blackburn, Elizabeth Webb, Larry D. Wall, Julapa Jagtiani, William W. Lang and Loretta J. Mester. Their work appears in journals such as Journal of Banking & Finance, Journal of money credit and banking and Journal of Urban 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.