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D-Index & Metrics

Computer Science

D-Index
77
Citations
32584
World Ranking
1243
National Ranking
660

Overview

Geoffrey C. Fox is affiliated with the University of Virginia in the United States. Their research is situated primarily within the field of Computer Science, with a focus on several key subfields, including Information Systems, Artificial Intelligence, Information Systems and Management, Computer Networks and Communications, and Geophysics.

Their work covers a range of topics related to scientific and computational methods, especially those involving large-scale data and computing systems. Main topics of study include:

  • Scientific Computing and Data Management
  • Cloud Computing and Resource Management
  • Distributed and Parallel Computing Systems
  • Research Data Management Practices
  • Advanced Data Storage Technologies
  • Earthquake Detection and Analysis
  • Seismology and Earthquake Studies

Geoffrey C. Fox has contributed to numerous publications, with recent papers including:

  • Machine learning surrogates for molecular dynamics simulations of soft materials, 2020, Journal of Computational Science
  • Nowcasting Earthquakes: Imaging the Earthquake Cycle in California With Machine Learning, 2021, Earth and Space Science
  • Solving Newton's equations of motion with large timesteps using recurrent neural networks based operators, 2022, Machine Learning Science and Technology
  • Password-based encryption approach for securing sensitive data, 2020, Security and Privacy
  • Deep Tiered Image Segmentation For Detecting Internal Ice Layers in Radar Imagery, 2020, arXiv (Cornell University)

Their frequent co-authors include Chathura Widanage, Niranda Perera, Tony Hey, Gregor von Laszewski, and Supun Kamburugamuve. These collaborations have contributed to a substantial body of research output.

Geoffrey C. Fox's research has appeared regularly in a number of publication venues, notably:

  • arXiv (Cornell University)
  • Concurrency and Computation Practice and Experience
  • Clinical Infection in Practice
  • Journal of Computational Science
  • Earth and Space Science

In addition to articles, Geoffrey C. Fox has published books, including a title from Springer Science+Business Media: Parallel and Distributed Computing, Applications and Technologies (2022).

Best Publications

  • Solving Problems on Concurrent Processors

    G. C. Fox

  • Overview of the Book: Grid Computing – Making the Global Infrastructure a Reality

    Fran Berman;Geoffrey Fox;Tony Hey;Tony Hey

  • Twister: a runtime for iterative MapReduce

    Jaliya Ekanayake;Hui Li;Bingjing Zhang;Thilina Gunarathne

  • Examining the Challenges of Scientific Workflows

    Y. Gil;E. Deelman;M. Ellisman;T. Fahringer

  • The Perfect Club Benchmarks: Effective Performance Evaluation of Supercomputers

    M. Berry;D. Chen;P. Koss;D. Kuck

  • Sourcebook of parallel computing

    Jack Dongarra;Ian Foster;Geoffrey Fox;William Gropp

  • Statistical mechanics and phase transitions in clustering.

    Kenneth Rose;Eitan Gurewitz;Geoffrey C. Fox

  • Distributed and Cloud Computing: From Parallel Processing to the Internet of Things

    Kai Hwang;Jack Dongarra;Geoffrey C. Fox

  • MapReduce for Data Intensive Scientific Analyses

    J. Ekanayake;S. Pallickara;G. Fox

  • A deterministic annealing approach to clustering

    K. Rose;E. Gurewwitz;G. Fox

  • A model for parton showers in QCD

    Geoffrey C. Fox;Stephen Wolfram

  • High Performance Parallel Computing with Clouds and Cloud Technologies

    Jaliya Ekanayake;Geoffrey Fox

  • Matrix algorithms on a hypercube I: Matrix multiplication☆

    Geoffrey C. Fox;Steve W. Otto;Anthony J. G. Hey

  • Vector quantization by deterministic annealing

    K. Rose;E. Gurewitz;G.C. Fox

  • Parallel Computing Works

    Roy D. Williams;Guiseppe C. Messina;Geoffrey C. Fox;Paul C. Messina

  • NaradaBrokering: a distributed middleware framework and architecture for enabling durable peer-to-peer grids

    Shrideep Pallickara;Geoffrey Fox

  • Analysis of Virtualization Technologies for High Performance Computing Environments

    Andrew J. Younge;Robert Henschel;James T. Brown;Gregor von Laszewski

  • A static performance estimator to guide data partitioning decisions

    Vasanth Balasundaram;Geoffrey Fox;Ken Kennedy;Ulrich Kremer

  • MapReduce in the Clouds for Science

    Thilina Gunarathne;Tak-Lon Wu;Judy Qiu;Geoffrey Fox

  • Phase transition in the 2D XY model.

    Rajan Gupta;Jerry DeLapp;George G. Batrouni;Geoffrey C. Fox

  • Proceedings of the 2013 IEEE International Conference on Big Data

    Xiaohua Hu;Tsau Young Lin;Vijay Raghavan;Benjamin Wah

Frequent Co-Authors

Marlon Pierce
Marlon Pierce Indiana University
Alok Choudhary
Alok Choudhary Northwestern University
Sanjay Ranka
Sanjay Ranka University of Florida
Gregor von Laszewski
Gregor von Laszewski University of Virginia
John B. Rundle
John B. Rundle University of California, Davis
Andrea Donnellan
Andrea Donnellan Jet Propulsion Lab
Dennis Gannon
Dennis Gannon Indiana University
Shantenu Jha
Shantenu Jha Rutgers, The State University of New Jersey
David J. Crandall
David J. Crandall Indiana University
John Paden
John Paden University of Kansas

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