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.
Should Central Banks Issue Digital Currency?
2022122 citationsTodd Keister et al.The Review of Economic Studiesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Todd Keister'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 Keister with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Keister more than expected).
This network shows the impact of papers produced by Todd Keister. 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 Keister. The network helps show where Todd Keister may publish in the future.
Co-authorship network of co-authors of Todd Keister
This figure shows the co-authorship network connecting the top 25 collaborators of Todd Keister.
A scholar is included among the top collaborators of Todd Keister 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 Keister. Todd Keister is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Keister, Todd, Antoine Martin, & James McAndrews. (2015). Floor systems and the Friedman rule: The fiscal arithmetic of open market operations ∗. Econstor (Econstor).2 indexed citations
Eisenbach, Thomas M., Todd Keister, James McAndrews, & Tanju Yorulmazer. (2014). Stability of Funding Models: An Analytical Framework. SSRN Electronic Journal. 20(1). 29–47.4 indexed citations
5.
Bech, Morten Linnemann & Todd Keister. (2013). On the Economics of Committed Liquidity Facilities. SSRN Electronic Journal.1 indexed citations
6.
Bech, Morten Linnemann & Todd Keister. (2012). On the liquidity coverage ratio and monetary policy implementation. SSRN Electronic Journal.19 indexed citations
7.
Ennis, Huberto M. & Todd Keister. (2010). On the Fundamental Reasons for Bank Fragility. SSRN Electronic Journal. 96(1). 33–58.19 indexed citations
8.
Ennis, Huberto M. & Todd Keister. (2009). Banking Panics and Policy Responses. SSRN Electronic Journal.7 indexed citations
9.
Ennis, Huberto M. & Todd Keister. (2009). Run Equilibria in the Green-Lin Model of Financial Intermediation. SSRN Electronic Journal.6 indexed citations
10.
Garratt, Rod & Todd Keister. (2009). Bank Runs as Coordination Failures: An Experimental Study. SSRN Electronic Journal.3 indexed citations
Keister, Todd, Antoine Martin, & James McAndrews. (2008). Divorcing Money from Monetary Policy. Federal Reserve Bank of New York Economic policy review. 14(2). 41–56.65 indexed citations
Garratt, Rod, Todd Keister, Cheng‐Zhong Qin, & Karl Shell. (1999). Equilibrium Prices When the Sunspot Variable is Continuous. SSRN Electronic Journal.
20.
Keister, Todd, et al.. (1999). Growth Dynamics and Returns to Scale: Bifurcation Analysis. SSRN Electronic Journal.1 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.