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.
Cointegration and Threshold Adjustment
2001815 citationsPierre L. Siklos et al.Journal of Business and Economic Statisticsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Pierre L. Siklos
Since
Specialization
Citations
This map shows the geographic impact of Pierre L. Siklos'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 Pierre L. Siklos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre L. Siklos more than expected).
Fields of papers citing papers by Pierre L. Siklos
This network shows the impact of papers produced by Pierre L. Siklos. 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 Pierre L. Siklos. The network helps show where Pierre L. Siklos may publish in the future.
Co-authorship network of co-authors of Pierre L. Siklos
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre L. Siklos.
A scholar is included among the top collaborators of Pierre L. Siklos 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 Pierre L. Siklos. Pierre L. Siklos is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Feldkircher, Martin, et al.. (2021). What do central banks talk about? a european perspective on central bank communication.. 61–81.4 indexed citations
Lombardi, Doménico, et al.. (2017). Asset Price Spillovers From Unconventional Monetary Policy: A Global Empirical Perspective. International journal of central banking. 15(2). 43–74.2 indexed citations
7.
Siklos, Pierre L.. (2017). Central Banks into the Breach: From Triumph to Crisis and the Road Ahead. OUP Catalogue.5 indexed citations
Siklos, Pierre L.. (2013). Forecast Disagreement and the Anchoring of Inflation Expectations in the Asia-Pacific Region. SSRN Electronic Journal. 70. 25–40.2 indexed citations
10.
Bohl, Martin T., Pierre L. Siklos, & David Sondermann. (2008). European Stock Markets and the ECB's Monetary Policy Surprises. SSRN Electronic Journal.6 indexed citations
11.
Siklos, Pierre L., et al.. (2001). Volatility Clustering in Real Interest Rates: International Evidence. SSRN Electronic Journal.2 indexed citations
12.
Siklos, Pierre L. & Andrew Barton. (2000). Monetary Aggregates as Indicators of Economic Activity in Canada: Empirical Evidence. SSRN Electronic Journal.1 indexed citations
13.
Siklos, Pierre L., et al.. (1998). Stock Returns and Inflation: A New Test of Competing Hypotheses. SSRN Electronic Journal.4 indexed citations
14.
Bordo, Michael D., Lars Jonung, & Pierre L. Siklos. (1998). Institutional Change and the Velocity of Money: A Century of Evidence. SSRN Electronic Journal.3 indexed citations
Siklos, Pierre L.. (1989). The Transition From Hyperinflation To Price Stability: Further Evidence. Eastern Economic Journal. 16(1). 65–69.2 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.