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.
Information and the Cost of Capital
20042.2k citationsDavid Easley, Maureen O’HaraThe Journal of Financeprofile →
Price, trade size, and information in securities markets
19871.6k citationsDavid Easley, Maureen O’HaraJournal of Financial Economicsprofile →
Is Information Risk a Determinant of Asset Returns?
20021.3k citationsDavid Easley, Maureen O’Hara et al.The Journal of Financeprofile →
Liquidity, Information, and Infrequently Traded Stocks
19961.1k citationsDavid Easley, Nicholas M. Kiefer et al.The Journal of Financeprofile →
This map shows the geographic impact of David Easley'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 David Easley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Easley more than expected).
This network shows the impact of papers produced by David Easley. 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 David Easley. The network helps show where David Easley may publish in the future.
Co-authorship network of co-authors of David Easley
This figure shows the co-authorship network connecting the top 25 collaborators of David Easley.
A scholar is included among the top collaborators of David Easley 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 David Easley. David Easley is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Easley, David, Maureen O’Hara, & Soumya Basu. (2019). From mining to markets: The evolution of bitcoin transaction fees. Journal of Financial Economics. 134(1). 91–109.360 indexed citations breakdown →
5.
Blume, Lawrence E., Timothy Cogley, David Easley, Thomas J. Sargent, & Viktor Tsyrennikov. (2018). A case for incomplete markets. Journal of Economic Theory. 178. 191–221.12 indexed citations
Easley, David, Marcos López de Prado, & Maureen O’Hara. (2013). VPIN and the Flash Crash: A rejoinder. Journal of Financial Markets. 17. 47–52.25 indexed citations
8.
Easley, David, Marcos López de Prado, & Maureen O’Hara. (2011). The Exchange of Flow Toxicity. SSRN Electronic Journal.9 indexed citations
Blume, Lawrence E., David Easley, & Joseph Y. Halpern. (2006). Redoing the foundations of decision theory. Principles of Knowledge Representation and Reasoning. 39(3). 14–24.9 indexed citations
Bennett, Paul B., et al.. (2004). Searching for a New Center: U.S. Securities Markets in Transition. Econometric Reviews. 89. 37–52.8 indexed citations
13.
Easley, David, Maureen O’Hara, & Gideon Saar. (2001). How Stock Splits Affect Trading: A Microstructure Approach. SSRN Electronic Journal.30 indexed citations
14.
Easley, David, Maureen O’Hara, & P. S. Srinivas. (1998). Option Volume and Stock Prices: Evidence on Where Informed Traders Trade. SSRN Electronic Journal.125 indexed citations
Blume, Lawrence E. & David Easley. (1993). Rational Expectations and Rational Learning. RePEc: Research Papers in Economics.31 indexed citations
17.
Easley, David & Maureen O’Hara. (1992). Time and the Process of Security Price Adjustment. The Journal of Finance. 47(2). 577–605.800 indexed citations breakdown →
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.