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.
Approximately normal tests for equal predictive accuracy in nested models
This map shows the geographic impact of Todd E. Clark'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 E. Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd E. Clark more than expected).
This network shows the impact of papers produced by Todd E. Clark. 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 E. Clark. The network helps show where Todd E. Clark may publish in the future.
Co-authorship network of co-authors of Todd E. Clark
This figure shows the co-authorship network connecting the top 25 collaborators of Todd E. Clark.
A scholar is included among the top collaborators of Todd E. Clark 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 E. Clark. Todd E. Clark is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Clark, Todd E., et al.. (2016). Recent Inflation Trends.2 indexed citations
5.
Knotek, Edward S., Saeed Zaman, & Todd E. Clark. (2015). Measuring Inflation Forecast Uncertainty. Economic Commentary (Federal Reserve Bank of Cleveland). 1–6.2 indexed citations
6.
Clark, Todd E., et al.. (2014). Methods for Evaluating Recent Trend Inflation.2 indexed citations
7.
Clark, Todd E., et al.. (2013). Recent Changes in FOMC Communication and the Committee’s Updated Projections.
8.
Clark, Todd E., et al.. (2012). Balance Sheet Implications of New Fed Policies.
9.
Clark, Todd E., et al.. (2011). Central Bank Liquidity Swaps.2 indexed citations
10.
Clark, Todd E.. (2009). Is the Great Moderation over? an Empirical Analysis. Econometric Reviews. 94(4). 5–42.56 indexed citations
11.
Clark, Todd E. & Taisuke Nakata. (2008). Has the Behavior of Inflation and Long-Term Inflation Expectations Changed?. Econometric Reviews. 93(1). 17–50.18 indexed citations
12.
Clark, Todd E. & Michael W. McCracken. (2007). Improving Forecast Accuracy by Combining Recursive and Rolling Forecasts* Running head: Recursive and Rolling Forecasts. SSRN Electronic Journal.5 indexed citations
13.
Clark, Todd E. & Taisuke Nakata. (2006). The Trend Growth Rate of Employment: Past, Present, and Future. Econometric Reviews. 91(1). 43–54.14 indexed citations
14.
Clark, Todd E.. (2004). An evaluation of the decline in goods inflation. Econometric Reviews. 89(2). 19–55.19 indexed citations
15.
Clark, Todd E.. (2001). Comparing Measures of Core Inflation. Econometric Reviews. 86(2). 5–31.52 indexed citations
16.
Clark, Todd E.. (1999). A Comparison of the CPI and the PCE Price Index. Econometric Reviews. 84(3). 15–29.30 indexed citations
Clark, Todd E.. (1995). Do Producer Prices Lead Consumer Prices. Econometric Reviews. 80(3). 25–39.48 indexed citations
19.
Clark, Todd E.. (1995). U.S. Inflation Developments in 1995. Econometric Reviews. 81(1). 11–30.4 indexed citations
20.
Clark, Todd E.. (1994). Nominal GDP Targeting Rules: Can They Stabilize the Economy?. Econometric Reviews. 79(3). 11–21.17 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.