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.
Market Insurance, Self-Insurance, and Self-Protection
This map shows the geographic impact of Isaac Ehrlich'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 Isaac Ehrlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isaac Ehrlich more than expected).
This network shows the impact of papers produced by Isaac Ehrlich. 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 Isaac Ehrlich. The network helps show where Isaac Ehrlich may publish in the future.
Co-authorship network of co-authors of Isaac Ehrlich
This figure shows the co-authorship network connecting the top 25 collaborators of Isaac Ehrlich.
A scholar is included among the top collaborators of Isaac Ehrlich 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 Isaac Ehrlich. Isaac Ehrlich is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ehrlich, Isaac & Chi‐Wa Yuen. (2012). The Growth-Inequality Nexus without Borrowing Restrictions and Government Intervention: Some Implications from a Prototype Model. Annals of economics and finance. 1(2). 283–301.
Smith, Barry, David Mark, & Isaac Ehrlich. (2008). The mystery of capital and the construction of social reality. PhilPapers (PhilPapers Foundation).33 indexed citations
Ehrlich, Isaac & Francis T. Lui. (1998). Social Security, the Family, and Economic Growth. SSRN Electronic Journal.1 indexed citations
12.
Ehrlich, Isaac, et al.. (1998). Social Security and the Real Economy: An Inquiry Into Some Neglected Issues. American Economic Review. 88(2). 151–157.8 indexed citations
13.
Ehrlich, Isaac & Francis T. Lui. (1994). El problema de la población y el crecimiento: una revisión de la literatura desde Malthus hasta los actuales modelos de población endógena y de crecimiento endógeno. Cuadernos Económicos de ICE. 189–223.1 indexed citations
14.
Ehrlich, Isaac, et al.. (1987). On the Issue of Causality in the Economic Model of Crime and Law Enforcement: Some Theoretical Considerations and Experimental Evidence. American Economic Review. 77(2). 99–106.12 indexed citations
15.
Ehrlich, Isaac. (1985). Insurance, Protection from Risk, and Risk-Bearing. SSRN Electronic Journal.2 indexed citations
16.
Ehrlich, Isaac, et al.. (1982). The Derived Demand for Advertising: A Theoretical and Empirical Investigation. American Economic Review. 72(3). 366–388.29 indexed citations
Ehrlich, Isaac. (1981). On the Usefulness of Controlling Individuals: An Economic Analysis of Rehabilitation, Incapacitation and Deterrence. American Economic Review. 71(3). 307–322.47 indexed citations
19.
Ehrlich, Isaac. (1977). The Deterrent Effect of Capital Punishment: Reply. American Economic Review. 67(3). 452–458.9 indexed citations
20.
Ehrlich, Isaac. (1974). Participation in Illegitimate Activities: An Economic Analysis. NBER Chapters. 68–134.77 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.