Electric Power Systems Research
About
The 9.9k papers published in Electric Power Systems Research in the last decades have received a total of 163.3k indexed citations.
Papers published in Electric Power Systems Research usually cover Electrical and Electronic Engineering (8.8k papers), Control and Systems Engineering (5.1k papers) and Astronomy and Astrophysics (1.1k papers) specifically the topics of Optimal Power Flow Distribution (2.3k papers), Microgrid Control and Optimization (2.3k papers) and Power System Optimization and Stability (1.9k papers). The most active scholars publishing in Electric Power Systems Research are João P. S. Catalào, Matti Lehtonen, M.M.A. Salama, Nikos Hatziargyriou and João Peças Lopes.
In The Last Decade
Fields of papers published in Electric Power Systems Research
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 Electric Power Systems Research. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Electric Power Systems Research
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Electric Power Systems Research. 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 Electric Power Systems Research 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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