Industrial and Commercial Training
About
The 1.6k papers published in Industrial and Commercial Training in the last decades have received a total of 15.5k indexed citations.
Papers published in Industrial and Commercial Training usually cover Organizational Behavior and Human Resource Management (575 papers), Social Psychology (195 papers) and Education (181 papers) specifically the topics of Job Satisfaction and Organizational Behavior (197 papers), Organizational Learning and Leadership (170 papers) and Human Resource and Talent Management (135 papers). The most active scholars publishing in Industrial and Commercial Training are Alan Mumford, Steven H. Appelbaum, Alan Cattell, Colin Coulson‐Thomas and Chandan Kumar Sahoo.
In The Last Decade
Fields of papers published in Industrial and Commercial Training
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 Industrial and Commercial Training. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Industrial and Commercial Training
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Industrial and Commercial Training. 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 Industrial and Commercial Training 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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