D. Nathan Sheets
Impact in
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- Monetary Policy and Economic Impact
- Finance top 5%
- Global Financial Crisis and Policies
Papers in
-
- Monetary Policy and Economic Impact 8
- Global trade and economics 4
- Finance 7
- Global Financial Crisis and Policies 7
- European Monetary and Fiscal Policies 1
- Co-authors
- Ellen E. Meade (3 shared papers)Adam Lerer (1 shared paper)Dan Connolly (1 shared paper)Tim Berners‐Lee (1 shared paper)Lydia B. Chilton (1 shared paper)Prakash Loungani (1 shared paper)Robert J. Vigfusson (2 shared papers)Joseph E. Gagnon (2 shared papers)
- Journals
- Journal of money credit and banking (1 paper)International Finance Discussion Paper (9 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
D. Nathan Sheets
13 papers receiving 566 citations
Peers
Comparison fields: 5 of 51
- General Economics, Econometrics and Finance 264
- Finance 196
- Economics and Econometrics 221
- Artificial Intelligence 270
- Information Systems 163
Countries citing papers authored by D. Nathan Sheets
This map shows the geographic impact of D. Nathan Sheets'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 D. Nathan Sheets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Nathan Sheets more than expected).
Fields of papers citing papers by D. Nathan Sheets
This network shows the impact of papers produced by D. Nathan Sheets. 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 D. Nathan Sheets. The network helps show where D. Nathan Sheets may publish in the future.
Co-authors
The 18 scholars most cited alongside D. Nathan Sheets, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Tabulator: Exploring and Analyzing linked data on the Semantic Web | 2006 | 325 |
| 2 | 2005 | 109 | |
| 3 | 2005 | 93 | |
| 4 | 1995 | 45 | |
| 5 | 2002 | 23 | |
| 6 | 2006 | 13 | |
| 7 | 2007 | 11 | |
| 8 | 1995 | 8 | |
| 9 | 1996 | 6 | |
| 10 | 2007 | 5 | |
| 11 | Documenting FOMC Voting Patterns 1 | 2006 | 5 |
| 12 | 2006 | 4 | |
| 13 | 2012 | 4 |
About D. Nathan Sheets
D. Nathan Sheets is a scholar working on General Economics, Econometrics and Finance, Finance, Economics and Econometrics, Artificial Intelligence and Computer Networks and Communications, having authored 13 papers that have together received 651 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (8 papers), Global Financial Crisis and Policies (7 papers), Global trade and economics (4 papers), Fiscal Policies and Political Economy (3 papers), European Monetary and Fiscal Policies (1 paper), Advanced Database Systems and Queries (1 paper), Economic Policies and Impacts (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (264 citations), Finance (196 citations), Economics and Econometrics (221 citations), Artificial Intelligence (270 citations) and Information Systems (163 citations). D. Nathan Sheets has collaborated with scholars based in United States and Sweden. Frequent co-authors include Ellen E. Meade, Adam Lerer, Dan Connolly, Tim Berners‐Lee, Lydia B. Chilton, Prakash Loungani, Robert J. Vigfusson, Joseph E. Gagnon, Trevor A. Reeve and Robert F. Martin. Their work appears in journals such as Journal of money credit and banking, International Finance Discussion Paper and arXiv (Cornell University).
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.