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 Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks
20101.3k citationsChristina Romer, David RomerAmerican Economic Reviewprofile →
A New Measure of Monetary Shocks: Derivation and Implications
2004990 citationsChristina Romer, David RomerAmerican Economic Reviewprofile →
Federal Reserve Information and the Behavior of Interest Rates
2000717 citationsChristina Romer, David RomerAmerican Economic Reviewprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Christina Romer
Since
Specialization
Citations
This map shows the geographic impact of Christina Romer'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 Christina Romer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Romer more than expected).
This network shows the impact of papers produced by Christina Romer. 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 Christina Romer. The network helps show where Christina Romer may publish in the future.
Co-authorship network of co-authors of Christina Romer
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Romer.
A scholar is included among the top collaborators of Christina Romer 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 Christina Romer. Christina Romer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Romer, Christina. (2016). Is the Stabilization of the Postwar Economy a Figment of the Data. American Economic Review. 76(3). 314–334.32 indexed citations
5.
Romer, Christina & David Romer. (2014). The NBER Monetary Economics Program. Econstor (Econstor). 2014(1). 1.3 indexed citations
Romer, Christina & David Romer. (2012). The Incentive Effects of Marginal Tax Rates: Evidence from the Interwar Era. RePEc: Research Papers in Economics.2 indexed citations
8.
Romer, Christina. (2009). LECCIONES DE LA GRAN DEPRESIÓN PARA LA RECUPERACIÓN ECONÓMICA EN 2009. SHILAP Revista de lepidopterología.
9.
Romer, Christina. (2009). Lessons from the Great Depression for Economic Recovery in 2009. SSRN Electronic Journal. 11(21). 25–35.13 indexed citations
Romer, Christina. (2005). Commentary on "Origins of the Great Inflation". Canadian parliamentary review. 87. 177–186.11 indexed citations
12.
Romer, Christina & David Romer. (2002). The Evolution of Economic Understanding and Postwar Stabilization Policy. National Bureau of Economic Research. 11–78.92 indexed citations
Miron, Jeffrey A. & Christina Romer. (1990). Reviving the Federal Statistical System: The View From Academia. American Economic Review. 80(2). 329–332.4 indexed citations
19.
Miron, Jeffrey & Christina Romer. (1990). A New Index of Industrial Production, 1884-1940. The Journal of Economic History. 50.7 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.