Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The Effect of Economic Events on Votes for President
This map shows the geographic impact of Ray C. Fair'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 Ray C. Fair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ray C. Fair more than expected).
This network shows the impact of papers produced by Ray C. Fair. 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 Ray C. Fair. The network helps show where Ray C. Fair may publish in the future.
Co-authorship network of co-authors of Ray C. Fair
This figure shows the co-authorship network connecting the top 25 collaborators of Ray C. Fair.
A scholar is included among the top collaborators of Ray C. Fair 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 Ray C. Fair. Ray C. Fair is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Fair, Ray C.. (2005). Natural Concepts in Macroeconomics. SSRN Electronic Journal.1 indexed citations
2.
Fair, Ray C., et al.. (2005). College Football Rankings and Market Efficiency.20 indexed citations
3.
Case, Karl E. & Ray C. Fair. (2003). Principles of Microeconomics (7th Edition). Prentice-Hall, Inc eBooks.18 indexed citations
4.
Fair, Ray C.. (2002). TESTING FOR A NEW ECONOMY IN THE 1990s. SSRN Electronic Journal.
Fair, Ray C.. (2000). Actual Federal Reserve Policy Behavior and Interest Rate Rules. Federal Reserve Bank of New York Economic policy review. 7(1). 61–72.3 indexed citations
7.
Fair, Ray C.. (1999). Estimates of the Effectiveness of Monetary Policy.21 indexed citations
8.
Fair, Ray C.. (1997). Response [Econometrics and Presidential Elections]. The Journal of Economic Perspectives. 11(3). 197–198.1 indexed citations
9.
Case, Karl E. & Ray C. Fair. (1996). Principles of microeconomics : study guide. Prentice Hall eBooks.1 indexed citations
Fair, Ray C.. (1993). Estimating Event Probabilities from Macroeconometric Models Using Stochastic Simulation. NBER Chapters. 157–178.2 indexed citations
12.
Dominguez, Kathryn M.E., Ray C. Fair, & Matthew D. Shapiro. (1988). Forecasting the Depression: Harvard versus Yale. American Economic Review. 78(4). 595–612.51 indexed citations
13.
Case, Karl E. & Ray C. Fair. (1985). Macro Simulations for PCs in the Classroom.. American Economic Review. 75(2). 85–90.13 indexed citations
14.
Fair, Ray C.. (1984). Estimated Trade-Offs Between Unemployment and Inflation. National Bureau of Economic Research. 57–96.1 indexed citations
15.
Fair, Ray C.. (1981). Estimated Effects of the Oct. 1979 Change in Monetary Policy on the 1980 Economy. American Economic Review. 71(2). 160–165.2 indexed citations
16.
Fair, Ray C.. (1979). On Modeling the Effects of Government Policies. American Economic Review. 69(2). 86–91.2 indexed citations
17.
Fair, Ray C.. (1974). A model of macroeconomic activity.42 indexed citations
18.
Fair, Ray C. & Dwight M. Jaffee. (1971). A note on the estimation of polynomial distributed lags.7 indexed citations
19.
Fair, Ray C., et al.. (1971). Full-information maximum likelihood program : user's guide.9 indexed citations
20.
Fair, Ray C.. (1971). Consumer sentiment, the stock market and consumption functions.8 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.