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.
Identification Properties of Recent Production Function Estimators
20151.3k citationsDaniel A. Ackerberg, Kevin W. Caves et al.Econometricaprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Daniel A. Ackerberg
Since
Specialization
Citations
This map shows the geographic impact of Daniel A. Ackerberg'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 Daniel A. Ackerberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Ackerberg more than expected).
Fields of papers citing papers by Daniel A. Ackerberg
This network shows the impact of papers produced by Daniel A. Ackerberg. 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 Daniel A. Ackerberg. The network helps show where Daniel A. Ackerberg may publish in the future.
Co-authorship network of co-authors of Daniel A. Ackerberg
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Ackerberg.
A scholar is included among the top collaborators of Daniel A. Ackerberg 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 Daniel A. Ackerberg. Daniel A. Ackerberg is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ackerberg, Daniel A., Kevin W. Caves, & Garth Frazer. (2015). Identification Properties of Recent Production Function Estimators. Econometrica. 83(6). 2411–2451.1274 indexed citations breakdown →
Ackerberg, Daniel A. & Paul J. Devereux. (2008). Improved JIVE Estimators for Overidentified Linear Models with and without Heteroskedasticity. SSRN Electronic Journal.1 indexed citations
9.
Ackerberg, Daniel A., et al.. (2007). Econometric Tools for Analyzing Market Outcomes. RePEc: Research Papers in Economics.311 indexed citations
10.
Ackerberg, Daniel A., Kevin W. Caves, & Garth Frazer. (2006). Structural identification of production functions. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).135 indexed citations
11.
Ackerberg, Daniel A. & Marc Rysman. (2006). Supplement to Unobserved Product Differentiation in Discrete Choice Models: Estimating Price Elasticities and Welfare Effects.1 indexed citations
Ackerberg, Daniel A. & Paul J. Devereux. (2006). Comment on ‘The case against JIVE’. Journal of Applied Econometrics. 21(6). 835–838.6 indexed citations
14.
Ackerberg, Daniel A., et al.. (2006). The Buy-it-now Option, Risk Aversion, and Impatience in an Empirical Model of eBay Bidding.18 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.