Fluid Flow and Transfer Processes
About
286.6k papers covering Fluid Flow and Transfer Processes have received a total of 6.5M indexed citations since 1950.
Papers on subfields are most often about the specific topic of Advanced Combustion Engine Technologies, Rheology and Fluid Dynamics Studies and Thermodynamic properties of mixtures and also cover the fields of Biomedical Engineering, Computational Mechanics and Materials Chemistry. Papers citing papers on subfields are usually about Biomedical Engineering, Computational Mechanics and Materials Chemistry. Some of the most active scholars covering Fluid Flow and Transfer Processes are Rolf D. Reitz, Henry J. Curran, Chung K. Law, Zuohua Huang and William J. Pitz.
In The Last Decade
Fields of papers citing papers about Fluid Flow and Transfer Processes
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 Fluid Flow and Transfer Processes. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish papers about Fluid Flow and Transfer Processes
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research in Fluid Flow and Transfer Processes. 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 Fluid Flow and Transfer Processes 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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