Industrial Management & Data Systems
About
The 2.6k papers published in Industrial Management & Data Systems in the last decades have received a total of 82.9k indexed citations.
Papers published in Industrial Management & Data Systems usually cover Management Information Systems (933 papers), Strategy and Management (862 papers) and Sociology and Political Science (433 papers) specifically the topics of Technology Adoption and User Behaviour (407 papers), Quality and Supply Management (376 papers) and Digital Marketing and Social Media (338 papers). The most active scholars publishing in Industrial Management & Data Systems are Jörg Henseler, Geoffrey S. Hubona, Alain Yee‐Loong Chong, Ranjit Bose, Jenny Preece, Joe F. Hair, Kuan Yew Wong, Adriane B. Randolph, José L. Roldán and Gabriel Cepeda‐Carrión.
In The Last Decade
Fields of papers published in Industrial Management & Data Systems
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 Management & Data Systems. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Industrial Management & Data Systems
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Industrial Management & Data Systems. 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 Management & Data Systems 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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