What is he best known for?
The fields of study he is best known for:
- Operating system
- Quantum mechanics
- Programming language
His primary areas of investigation include Distributed computing, Parallel computing, World Wide Web, Cloud computing and Grid.
His study on Distributed computing also encompasses disciplines like
- Set that intertwine with fields like Supercomputer,
- Software that connect with fields like Data-intensive computing, Resource and Data science.
Geoffrey C. Fox has included themes like Programming language, Computation and Fortran in his Parallel computing study.
His Cloud computing study also includes
- Dryad which connect with High performance parallel computing,
- Usability and related Utility computing.
Geoffrey C. Fox mostly deals with Grid computing in his studies of Grid.
The study incorporates disciplines such as Software engineering and Semantic grid in addition to Grid computing.
His most cited work include:
- Grid Computing: Making the Global Infrastructure a Reality (1389 citations)
- Solving Problems on Concurrent Processors (920 citations)
- Twister: a runtime for iterative MapReduce (731 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Distributed computing, World Wide Web, Parallel computing, Web service and Grid.
His biological study deals with issues like Software, which deal with fields such as Supercomputer.
His study brings together the fields of Multimedia and World Wide Web.
His Parallel computing research is multidisciplinary, incorporating perspectives in Computation and Fortran.
Geoffrey C. Fox works in the field of Grid, focusing on Grid computing in particular.
Geoffrey C. Fox regularly ties together related areas like Semantic grid in his Grid computing studies.
He most often published in these fields:
- Distributed computing (16.08%)
- World Wide Web (15.24%)
- Parallel computing (14.61%)
What were the highlights of his more recent work (between 2014-2021)?
- Artificial intelligence (4.70%)
- Big data (4.49%)
- Cloud computing (7.83%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Big data, Cloud computing, Supercomputer and Deep learning.
Geoffrey C. Fox has researched Artificial intelligence in several fields, including Machine learning, Computer vision and Pattern recognition.
The concepts of his Big data study are interwoven with issues in Database, Dataflow, Data analysis, Software and Data science.
His Cloud computing research incorporates elements of Robot, Virtual machine and Distributed computing.
His Supercomputer research is under the purview of Parallel computing.
His biological study spans a wide range of topics, including Recurrent neural network and Enhanced Data Rates for GSM Evolution.
Between 2014 and 2021, his most popular works were:
- Evaluation of Production Serverless Computing Environments (62 citations)
- Status of Serverless Computing and Function-as-a-Service(FaaS) in Industry and Research (57 citations)
- Real-Time, Cloud-Based Object Detection for Unmanned Aerial Vehicles (57 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Quantum mechanics
- Artificial intelligence
Geoffrey C. Fox focuses on Cloud computing, Big data, Artificial intelligence, Machine learning and Distributed computing.
His Cloud computing research is multidisciplinary, incorporating elements of Virtual machine, Supercomputer, InfiniBand, Robot and Stream processing.
The subject of his Supercomputer research is within the realm of Parallel computing.
The Parallel computing study which covers Thread that intersects with Java and Multi-core processor.
His Big data study combines topics in areas such as Data modeling, Software, Dataflow and Data science.
His research in Distributed computing intersects with topics in Shared memory, Grid, Asynchronous communication, Edge computing and Workflow.
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