Brian C. Moyer
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- Monetary Policy and Economic Impact 2
- Economics and Econometrics top 10%
- Fiscal Policy and Economic Growth 2
- Economic Growth and Productivity 2
- Complex Systems and Time Series Analysis 2
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- Big Data and Business Intelligence 3
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- Big Data Technologies and Applications 3
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- Intergenerational and Educational Inequality Studies 1
- Income, Poverty, and Inequality 1
- Co-authors
- Ron S. JarminDavid M. FriedmanErica L. GroshenAna AizcorbeKatharine G. AbrahamKenneth J. StewartMatthew D. ShapiroErich Straßner
- Cited by
- General Economics, Econometrics and FinanceEconomics and EconometricsManagement Science and Operations Research
- Partner nations
- United States
In The Last Decade
Brian C. Moyer
9 papers receiving 94 citations
Peers
Comparison fields: 5 of 46
- General Economics, Econometrics and Finance 34
- Economics and Econometrics 73
- Management Science and Operations Research 20
- Development 5
- Finance 10
Countries citing papers authored by Brian C. Moyer
This map shows the geographic impact of Brian C. Moyer'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 Brian C. Moyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian C. Moyer more than expected).
Fields of papers citing papers by Brian C. Moyer
This network shows the impact of papers produced by Brian C. Moyer. 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 Brian C. Moyer. The network helps show where Brian C. Moyer may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Brian C. Moyer, 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 | Big Data for Twenty-First-Century Economic Statistics: The Future Is Now | 2020 | 3 |
| 2 | 2020 | 5 | |
| 3 | Introduction to "Big Data for 21st Century Economic Statistics" | 2019 | 1 |
| 4 | Big Data for 21st Century Economic Statistics | 2019 | 20 |
| 5 | 2017 | 46 | |
| 6 | 2016 | 11 | |
| 7 | An Analysis of the Composition of Intermediate Inputs by Industry | 2013 | 2 |
| 8 | Comparing the Consumer Price Index and the Personal Consumption Expenditures Price Index | 2007 | 18 |
| 9 | An Analysis of the Composition of Intermediate Inputs by Industry | 2002 | 5 |
About Brian C. Moyer
Brian C. Moyer is a scholar working on Information Systems and Management, Management Information Systems and General Economics, Econometrics and Finance, having authored 9 papers that have together received 111 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (3 papers), Big Data Technologies and Applications (3 papers), Fiscal Policy and Economic Growth (2 papers), Monetary Policy and Economic Impact (2 papers), Economic Growth and Productivity (2 papers), Complex Systems and Time Series Analysis (2 papers), Intergenerational and Educational Inequality Studies (1 paper) and Income, Poverty, and Inequality (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (34 citations), Economics and Econometrics (73 citations) and Management Science and Operations Research (20 citations). Brian C. Moyer has collaborated with scholars based in United States. Frequent co-authors include Ron S. Jarmin, David M. Friedman, Erica L. Groshen, Ana Aizcorbe, Katharine G. Abraham, Kenneth J. Stewart, Matthew D. Shapiro, Erich Straßner and Abe Dunn.
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.