International Journal of Data Warehousing and Mining
About
The 326 papers published in International Journal of Data Warehousing and Mining in the last decades have received a total of 3.2k indexed citations.
Papers published in International Journal of Data Warehousing and Mining usually cover Artificial Intelligence (147 papers), Information Systems (144 papers) and Signal Processing (111 papers) specifically the topics of Data Management and Algorithms (98 papers), Data Mining Algorithms and Applications (92 papers) and Advanced Database Systems and Queries (87 papers). The most active scholars publishing in International Journal of Data Warehousing and Mining are Ioannis Katakis, Grigorios Tsoumakas, Panos Vassiliadis, Matteo Golfarelli, Stefano Rizzi, David Taniar, Shuliang Wang, Alberto Abelló, Oscar Romero and Seifedine Kadry.
In The Last Decade
Fields of papers published in International Journal of Data Warehousing and Mining
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 International Journal of Data Warehousing and Mining. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in International Journal of Data Warehousing and Mining
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in International Journal of Data Warehousing and Mining. 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 International Journal of Data Warehousing and Mining 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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