Information Systems and Management
About
252.5k papers covering Information Systems and Management have received a total of 5.2M indexed citations since 1950.
Papers on subfields are most often about the specific topic of Technology Adoption and User Behaviour, Business and Management Studies and Digital Marketing and Social Media and also cover the fields of Sociology and Political Science, Education and Organizational Behavior and Human Resource Management. Papers citing papers on subfields are usually about Sociology and Political Science, Organizational Behavior and Human Resource Management and Marketing. Some of the most active scholars covering Information Systems and Management are Yogesh K. Dwivedi, Linda Klebe Treviño, Scott J. Vitell, Viswanath Venkatesh and Nripendra P. Rana.
In The Last Decade
Fields of papers citing papers about Information Systems and Management
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 citing the papers covering Information Systems and Management. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish papers about Information Systems and Management
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research in Information Systems and Management. 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 about Information Systems and Management 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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