Data & Knowledge Engineering
About
The 1.9k papers published in Data & Knowledge Engineering in the last decades have received a total of 30.6k indexed citations.
Papers published in Data & Knowledge Engineering usually cover Artificial Intelligence (1.2k papers), Computer Networks and Communications (868 papers) and Information Systems (726 papers) specifically the topics of Advanced Database Systems and Queries (679 papers), Semantic Web and Ontologies (594 papers) and Data Management and Algorithms (531 papers). The most active scholars publishing in Data & Knowledge Engineering are Rudi Studer, Dieter Fensel, V. Richard Benjamins, Derya Birant, Alp Kut, Wil M. P. van der Aalst, Veda C. Storey, Manfred Reichert, Lipika Dey and Amir Ahmad.
In The Last Decade
Fields of papers published in Data & Knowledge Engineering
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 Data & Knowledge Engineering. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Data & Knowledge Engineering
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Data & Knowledge Engineering. 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 Data & Knowledge Engineering 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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