Enterprise Information Systems
About
The 840 papers published in Enterprise Information Systems in the last decades have received a total of 16.3k indexed citations.
Papers published in Enterprise Information Systems usually cover Management Information Systems (323 papers), Information Systems (317 papers) and Artificial Intelligence (203 papers) specifically the topics of QoS-Aware Web Services Composition and Semantic Matching (149 papers), Business Process Modeling and Analysis (142 papers) and Information Technology Governance and Strategy (80 papers). The most active scholars publishing in Enterprise Information Systems are Wenjun Zhang, Lian Duan, Fei Tao, Li Da Xu, Lida Xu, Bokolo Anthony, Ling Li, Zhang Li, Brij B. Gupta and Junwei Wang.
In The Last Decade
Fields of papers published in Enterprise Information 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 Enterprise Information Systems. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Enterprise Information Systems
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Enterprise Information 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 Enterprise Information 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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