Behavioral game theory, experiments in strategic interaction
Impact in
- Safety Research 563
- Authors
- Freddy Canté
- Journal
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
In The Last Decade
doi.org/w736726 →Countries where authors are citing Behavioral game theory, experiments in strategic interaction
This map shows the geographic impact of Behavioral game theory, experiments in strategic interaction. 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 Behavioral game theory, experiments in strategic interaction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behavioral game theory, experiments in strategic interaction more than expected).
Fields of papers citing Behavioral game theory, experiments in strategic interaction
This network shows the impact of Behavioral game theory, experiments in strategic interaction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Behavioral game theory, experiments in strategic interaction.
About Behavioral game theory, experiments in strategic interaction
This paper, published in 2004, received 914 indexed citations . Written by Freddy Canté. It is primarily cited by scholars working on Safety Research (563 citations), Sociology and Political Science (323 citations), Economics and Econometrics (198 citations), Management Science and Operations Research (190 citations) and General Decision Sciences (186 citations). Published in LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas).
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/w736726.