Journal of Gambling Studies

1.7k papers and 46.4k indexed citations i.

About

The 1.7k papers published in Journal of Gambling Studies in the last decades have received a total of 46.4k indexed citations. Papers published in Journal of Gambling Studies usually cover Clinical Psychology (1.6k papers), Economics and Econometrics (258 papers) and Sociology and Political Science (217 papers) specifically the topics of Gambling Behavior and Treatments (1.6k papers), Sexuality, Behavior, and Technology (566 papers) and Sports Analytics and Performance (210 papers). The most active scholars publishing in Journal of Gambling Studies are Mark D. Griffiths, Jeffrey L. Derevensky, Alex Blaszczynski, Rina Gupta, Howard J. Shaffer, Robert Ladouceur, David C. Hodgins, Paul Delfabbro, Sue Fisher and Randy Stinchfield.

In The Last Decade

Fields of papers published in Journal of Gambling Studies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Gambling Studies. 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 Gambling Studies.

Countries where authors publish in Journal of Gambling Studies

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Gambling Studies. 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 Gambling Studies 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 Gambling Studies 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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