ISSN: 1556-7249
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Energy Sources, Part B: Economics, Planning and Policy Q2 Unclaimed
Energy Sources, Part B: Economics, Planning and Policy is a journal indexed in SJR in Chemical Engineering (miscellaneous) and Environmental Science (miscellaneous) with an H index of 57. It has a price of 2583 €. It has an SJR impact factor of 0,62 and it has a best quartile of Q2. It has an SJR impact factor of 0,62.
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2583 €
Inmediate OANPD
Embargoed OA0 €
Non OAMetrics
0,62
SJR Impact factor57
H Index51
Total Docs (Last Year)159
Total Docs (3 years)3045
Total Refs511
Total Cites (3 years)155
Citable Docs (3 years)2.86
Cites/Doc (2 years)59.71
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Aims and Scope
Best articles by citations
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View moreEnergy Supply Risk Premium: Review and Methodological Framework
View moreContribution of the Southeastern Anatolia Project (GAP) to Irrigation and Hydroelectric Power Production in Turkey
View moreEstimating market power by introducing a new Lerner index in the Iranian electricity market
View moreThe Turkish Transportation Sector and Its Thermodynamic Analysis
View moreRegional Distribution of Energy Indicators in Turkey
View moreRevisiting the Relationship Between Natural Gas Consumption and Economic Growth in Turkey
View moreDeveloping Sustainability During the Oil and Gas Era for When the Hydrocarbon Resource Is Exhausted: The Example of the Republic of Trinidad and Tobago
View moreCommunity-based Energy Model: A Novel Approach to Developing Sustainable Energy
View moreEstimating and Analyzing Energy Efficiency in German and Colombian Manufacturing Industries Using DEA and Data Panel Analysis. Part I: Energy-intensive Sectors
View moreThe Case of Wind Power Industry in the European Union Countries: Capacity, Markets, and Regional Plans
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View moreOil prices and GCC exchange rates
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View moreMulti-criteria Decision Analysis for Geothermal Energy: A Comparison Between the ELECTRE III and the PROMETHEE II Methods
View moreModeling the Estimated Time for Obtaining Environmental Permits for Industry of Oil and Gas in Brazil
View moreA Novel Hybrid Forecasting Method Using GRNN Combined With Wavelet Transform and a GARCH Model
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