Journal of Quality Technology
About
The 2.3k papers published in Journal of Quality Technology in the last decades have received a total of 89.2k indexed citations.
Papers published in Journal of Quality Technology usually cover Statistics, Probability and Uncertainty (1.2k papers), Statistics and Probability (633 papers) and Management Science and Operations Research (528 papers) specifically the topics of Advanced Statistical Process Monitoring (994 papers), Optimal Experimental Design Methods (494 papers) and Advanced Statistical Methods and Models (405 papers). The most active scholars publishing in Journal of Quality Technology are Lloyd S. Nelson, William H. Woodall, Karen A. F. Copeland, Connie M. Borror, Douglas C. Montgomery, George C. Derringer, Ronald C. Suich, Kailash C. Kapur, Ralph C. St. John and Gary Sullivan.
In The Last Decade
Fields of papers published in Journal of Quality Technology
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 Quality Technology. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Journal of Quality Technology
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Journal of Quality Technology. 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 Quality Technology 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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