Monetary and Non-Monetary Punishment in the Voluntary Contributions Mechanism

573 indexed citations
published 2001

Countries where authors are citing Monetary and Non-Monetary Punishment in the Voluntary Contributions Mechanism

Specialization
Citations

This map shows the geographic impact of Monetary and Non-Monetary Punishment in the Voluntary Contributions Mechanism. 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 Monetary and Non-Monetary Punishment in the Voluntary Contributions Mechanism with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monetary and Non-Monetary Punishment in the Voluntary Contributions Mechanism more than expected).

Fields of papers citing Monetary and Non-Monetary Punishment in the Voluntary Contributions Mechanism

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Monetary and Non-Monetary Punishment in the Voluntary Contributions Mechanism. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Monetary and Non-Monetary Punishment in the Voluntary Contributions Mechanism.

About Monetary and Non-Monetary Punishment in the Voluntary Contributions Mechanism

This paper, published in 2001, received 573 indexed citations . Written by David Masclet, Charles Noussair, Steven Tucker and Marie Claire Villeval covering the research area of Safety Research and Economics and Econometrics. It is primarily cited by scholars working on Safety Research (501 citations), Sociology and Political Science (308 citations) and Demography (187 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.

This paper is also available at doi.org/w11612928.

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