Journal of Risk and Uncertainty

930 papers and 56.5k indexed citations i.

About

The 930 papers published in Journal of Risk and Uncertainty in the last decades have received a total of 56.5k indexed citations. Papers published in Journal of Risk and Uncertainty usually cover Economics and Econometrics (637 papers), General Decision Sciences (566 papers) and Safety Research (188 papers) specifically the topics of Decision-Making and Behavioral Economics (566 papers), Economic and Environmental Valuation (381 papers) and Experimental Behavioral Economics Studies (188 papers). The most active scholars publishing in Journal of Risk and Uncertainty are Amos Tversky, Daniel Kahneman, Richard Zeckhauser, Colin F. Camerer, William Samuelson, W. Kip Viscusi, Howard Kunreuther, George Loewenstein, Robin M. Hogarth and Martin Weber.

In The Last Decade

Fields of papers published in Journal of Risk and Uncertainty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Risk and Uncertainty. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Risk and Uncertainty.

Countries where authors publish in Journal of Risk and Uncertainty

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Risk and Uncertainty. 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 papers published in Journal of Risk and Uncertainty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Risk and Uncertainty more than expected).

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.

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