Robert A. Shearer

What is he best known for?

The fields of study he is best known for:

• Operating system
• Central processing unit
• Computer network

Robert A. Shearer spends much of his time researching Image processing, Ray tracing, Real-time computing, Artificial intelligence and Computer vision. The various areas that Robert A. Shearer examines in his Image processing study include Tree traversal and Data structure. His Ray tracing research is multidisciplinary, incorporating perspectives in Geometry and Tracing.

His studies in Real-time computing integrate themes in fields like Workload, Bandwidth and Processing element. His Workload study combines topics from a wide range of disciplines, such as Pixel, Load balancing and Physics engine. His research in Artificial intelligence intersects with topics in Start point and Computer graphics.

His most cited work include:

• Efficient and Flexible Data Organization for Acceleration Data Structure Nodes (74 citations)
• Dynamically Configuring and Selecting Multiple Ray Tracing Intersection Methods (72 citations)
• Pixel color determination in a ray tracing image processing system (68 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Computer hardware, Computer network, Parallel computing, Image processing and Real-time computing. His work on Instruction register is typically connected to Register file as part of general Computer hardware study, connecting several disciplines of science. His work on Network on a chip, Network packet and Encryption as part of general Computer network research is often related to Power consumption, thus linking different fields of science.

His research on Network on a chip also deals with topics like

• Network interface controller which is related to area like Router, Network interface and Controller,
• Computer program which connect with Thread. His Image processing research includes elements of Pixel, Workload and Ray tracing. His biological study spans a wide range of topics, including Bounding overwatch, Artificial intelligence, Data structure and Computer vision.

He most often published in these fields:

• Computer hardware (23.92%)
• Computer network (20.10%)
• Parallel computing (13.88%)

What were the highlights of his more recent work (between 2012-2019)?

• Computer hardware (23.92%)
• Operating system (8.61%)
• Computer network (20.10%)

In recent papers he was focusing on the following fields of study:

Robert A. Shearer mostly deals with Computer hardware, Operating system, Computer network, Cache and Parallel computing. The concepts of his Computer hardware study are interwoven with issues in Execution unit, Pixel, Direct memory access and Domain. His Direct memory access research is multidisciplinary, incorporating elements of Preprocessor, Computer vision, Artificial intelligence and Pixel aspect ratio.

His Operating system research integrates issues from Instruction set and State. His research in the fields of Encryption and Network on a chip overlaps with other disciplines such as Power consumption. Robert A. Shearer has included themes like Set and Chip in his Parallel computing study.

Between 2012 and 2019, his most popular works were:

• Instruction set architecture with secure clear instructions for protecting processing unit architected state information (54 citations)
• Processor with hybrid pipeline capable of operating in out-of-order and in-order modes (51 citations)
• Shared receive queue allocation for network on a chip communication (33 citations)

In his most recent research, the most cited papers focused on:

• Operating system
• Central processing unit
• Programming language

His scientific interests lie mostly in Execution unit, Computer hardware, Operating system, Parallel computing and Distributed computing. Robert A. Shearer connects Computer hardware with Register file in his study. His work in Operating system addresses subjects such as Instruction set, which are connected to disciplines such as Context switch, Supervisory program, State and Control unit.

His Parallel computing research is multidisciplinary, relying on both Floating point and Adder. The study incorporates disciplines such as Hardware acceleration, Workload, Hardware thread and Communications protocol in addition to Distributed computing. His study on Workload also encompasses disciplines like

• Data processing system, which have a strong connection to Translation and Data structure,
• Multithreading most often made with reference to Scheduling.