What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Mechanical engineering
- Computer network
Gordon James Smith mainly focuses on Computer hardware, Real-time computing, Predictive failure analysis, Computer data storage and Track.
His Computer hardware research incorporates elements of Logical disk and Feature.
His Real-time computing study combines topics in areas such as Proximity sensor, Transmission, Interval and Code.
His studies in Computer data storage integrate themes in fields like Window, Control system, Direct-access storage device and Presentation.
His research in Direct-access storage device intersects with topics in Computation, Harmonic and Discrete Fourier transform.
The Track study combines topics in areas such as Multiple frequency, Connection, Bit, Simulation and Disk storage.
His most cited work include:
- Media-on-demand communication system and method employing direct access storage device (252 citations)
- Multimedia server system and method for communicating multimedia information (252 citations)
- Mobile communication optimization near wireless dead zone regions (152 citations)
What are the main themes of his work throughout his whole career to date?
Gordon James Smith focuses on Computer hardware, Computer data storage, Acoustics, Transducer and Head.
His work deals with themes such as Real-time computing, Track and Reliability, which intersect with Computer hardware.
His biological study spans a wide range of topics, including Control system, Mount and Direct-access storage device.
The various areas that Gordon James Smith examines in his Control system study include Transmission and Multimedia.
His Acoustics research is multidisciplinary, relying on both Signal and Sense.
His Transducer research incorporates themes from Slider, Actuator, Edge and Optics.
He most often published in these fields:
- Computer hardware (27.27%)
- Computer data storage (25.87%)
- Acoustics (23.08%)
What were the highlights of his more recent work (between 2001-2005)?
- Slider (10.49%)
- Computer hardware (27.27%)
- Computer data storage (25.87%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Slider, Computer hardware, Computer data storage, Predictive failure analysis and Modulation.
His work carried out in the field of Slider brings together such families of science as Control engineering, Reliability, Automotive engineering and Look-ahead.
His study in Computer hardware is interdisciplinary in nature, drawing from both Mount, Mechanism and Computer graphics.
His work blends Computer data storage and Alphanumeric studies together.
His Predictive failure analysis studies intersect with other disciplines such as Distributed computing, Probabilistic neural network, Health records, Resource and Router.
His research integrates issues of Acoustics, Trailing edge, Sense, Leading edge and Electronics in his study of Modulation.
Between 2001 and 2005, his most popular works were:
- Virtual signs for improving information communicated to the automotive driver (99 citations)
- Method and apparatus for limiting soft error recovery in a disk drive data storage device (88 citations)
- Predictive failure analysis for storage networks (64 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Mechanical engineering
- Computer network
Gordon James Smith mainly investigates Computer data storage, Reliability, Predictive failure analysis, Real-time computing and Computer hardware.
His Computer data storage research is multidisciplinary, incorporating perspectives in Acoustics, Soft error, Slider and Trailing edge.
His Reliability study frequently draws parallels with other fields, such as Data mining.
His study in Predictive failure analysis intersects with areas of studies such as Resource, Router, Path, Error message and Distributed computing.
His Real-time computing research is multidisciplinary, incorporating elements of Logical disk, Disk mirroring, Feature and Host.
The concepts of his Computer hardware study are interwoven with issues in Sense, Modulation, Leading edge, Electronics and Look-ahead.
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