What is he best known for?
The fields of study he is best known for:
- Statistics
- Plate tectonics
- Electrical engineering
Roger N. Anderson spends much of his time researching Oceanic crust, Geophysics, Petrology, Lithosphere and Crust.
His work carried out in the field of Oceanic crust brings together such families of science as Seafloor spreading, Seabed, Rift and Mid-ocean ridge.
His work in the fields of Geophysics, such as Transition zone and Slab, overlaps with other areas such as Thermal conduction.
His study in Petrology is interdisciplinary in nature, drawing from both Sedimentary basin, Subduction and Geophysical imaging.
The concepts of his Lithosphere study are interwoven with issues in Sediment and Ridge.
In his study, which falls under the umbrella issue of Crust, Trough is strongly linked to Seismology.
His most cited work include:
- Elevation of ridges and evolution of the central Eastern Pacific. (591 citations)
- Well bore breakouts and in situ stress (524 citations)
- The Galapagos Spreading Centre: Lithospheric Cooling and Hydrothermal Circulation (288 citations)
What are the main themes of his work throughout his whole career to date?
Roger N. Anderson focuses on Oceanic crust, Petrology, Seismology, Geophysics and Drilling.
His Oceanic crust research integrates issues from Crust, Hydrothermal circulation, Rift, Mid-ocean ridge and Seafloor spreading.
His biological study spans a wide range of topics, including Seabed and Magnetic anomaly.
His Petrology study incorporates themes from Sedimentary basin, Basement, Basalt and Permeability.
His Seismology research is multidisciplinary, incorporating perspectives in Petroleum and Borehole.
His Geophysics research includes elements of Sediment and Tectonics, Lithosphere.
He most often published in these fields:
- Oceanic crust (20.81%)
- Petrology (18.10%)
- Seismology (16.29%)
What were the highlights of his more recent work (between 2009-2021)?
- Artificial intelligence (4.98%)
- Machine learning (4.98%)
- Electrical grid (4.07%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Machine learning, Electrical grid, Smart grid and Data mining.
He interconnects Ranking, Energy, Analytics and Data modeling in the investigation of issues within Artificial intelligence.
His Electrical grid research incorporates elements of Controller, Process, Decision support system and Electrical engineering.
As a member of one scientific family, he mostly works in the field of Decision support system, focusing on Database and, on occasion, Power grid.
His Smart grid study combines topics in areas such as Preventive maintenance, Robust optimization, Predictability, Dynamic programming and Grid.
The Data mining study combines topics in areas such as Graphical user interface, Metric and Service.
Between 2009 and 2021, his most popular works were:
- Heat Flow in Back‐Arc Basins of the Western Pacific (169 citations)
- Machine Learning for the New York City Power Grid (161 citations)
- Adaptive Stochastic Control for the Smart Grid (123 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Electrical engineering
- Plate tectonics
His scientific interests lie mostly in Electrical grid, Control engineering, Artificial intelligence, Decision support system and Machine learning.
His Electrical grid research incorporates themes from Process and Software.
His Control engineering study also includes
- Executable that connect with fields like Control theory,
- Smart grid most often made with reference to Control system.
His Artificial intelligence research is multidisciplinary, relying on both Resource based, Energy and Volume.
His Decision support system study combines topics from a wide range of disciplines, such as Data processing system, Database, Ranking and Raw data.
His research integrates issues of Data modeling, Preventive maintenance, Knowledge economy and Data processing in his study of Machine learning.
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