Journal of Gambling Studies
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 SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers published in Journal of Gambling Studies. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Journal of Gambling Studies
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Journal of Gambling Studies. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Journal of Gambling Studies with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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