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.
Giving According to GARP: An Experimental Test of the Consistency of Preferences for Altruism
20021.2k citationsJames Andreoni, John H. Millerprofile →
Complex Adaptive Systems: An Introduction to Computational Models of Social Life
2009850 citationsJohn H. Miller, Scott E. PagePrinceton University Press eBooksprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by John H. Miller
Since
Specialization
Citations
This map shows the geographic impact of John H. Miller'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 John H. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John H. Miller more than expected).
This network shows the impact of papers produced by John H. Miller. 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 John H. Miller. The network helps show where John H. Miller may publish in the future.
Co-authorship network of co-authors of John H. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of John H. Miller.
A scholar is included among the top collaborators of John H. Miller 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 John H. Miller. John H. Miller is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Miller, John H. & Scott E. Page. (2009). Complex Adaptive Systems: An Introduction to Computational Models of Social Life. Princeton University Press eBooks.850 indexed citations breakdown →
7.
Miller, John H. & Scott E. Page. (2007). Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity). Princeton University Press eBooks.81 indexed citations
Engle‐Warnick, Jim, William J. McCausland, & John H. Miller. (2004). The Ghost in the Machine: Inferring Machine-Based Strategies from Observed Behavior. Papyrus : Institutional Repository (Université de Montréal).7 indexed citations
10.
Andreoni, James & John H. Miller. (2002). Giving According to Garp: An Experimental Test of the Consistency of Preferences for Altruism. SSRN Electronic Journal.86 indexed citations
11.
Kollman, Ken, John H. Miller, & Scott E. Page. (2001). Decentralization and the Search for Policy Solutions. SSRN Electronic Journal.3 indexed citations
12.
Miller, John H., et al.. (2000). Instructor's manual to accompany experiments with economic principles : microeconomics. McGraw-Hill eBooks.1 indexed citations
13.
Kollman, Ken, John H. Miller, & Scott E. Page. (1998). Political Institutions and Sorting in a Tiebout Model. SSRN Electronic Journal.22 indexed citations
14.
Cowan, Robin & John H. Miller. (1998). Technological Standards with Local Externalities and Decentralized Behavior. SSRN Electronic Journal.7 indexed citations
Forrest, Stephanie & John H. Miller. (1991). Emergent behavior in classifier systems. MIT Press eBooks. 213–227.3 indexed citations
18.
Holland, John H. & John H. Miller. (1991). Artificial Adaptive Agents in Economic Theory. American Economic Review. 81(2). 365–371.339 indexed citations
19.
Miller, John H., et al.. (1984). Algorithm for secondary electron emission from water vapor by high velocity ions.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.