2026 John Reid: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	41	8631	8386	522	515	145	11608

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

8631

8386

522

515

145

11608

Overview

John Reid is affiliated with the Rutherford Appleton Laboratory in the United Kingdom. Their work spans multiple areas within computer science, integrating research on parallel computing, hardware architecture, and computer vision.

They have contributed to the development and understanding of parallel computing systems and optimization techniques. Their main topics of work include:

Parallel Computing and Optimization Techniques
Distributed and Parallel Computing Systems
CCD and CMOS Imaging Sensors
Robotic Path Planning Algorithms
Teaching and Learning Programming

John Reid's research has been published primarily in the following venues:

arXiv (Cornell University)
Proceedings of the ACM on Programming Languages

The notable recent papers authored or co-authored by Reid include:

Scaling Instructable Agents Across Many Simulated Worlds, 2024, arXiv (Cornell University)
History of coarrays and SPMD parallelism in Fortran, 2020, Proceedings of the ACM on Programming Languages
Can foundation models actively gather information in interactive environments to test hypotheses?, 2024, arXiv (Cornell University)

Their frequent co-authors are scholars with whom they have collaborated on multiple occasions, including:

Martin Engelcke
Drew A. Hudson
Danilo Jimenez Rezende
Alexander Lerchner
David Reichert

John Reid's research encompasses subfields such as:

Hardware and Architecture
Computer Networks and Communications
Electrical and Electronic Engineering
Computer Vision and Pattern Recognition
Computer Science Applications

Best Publications

Direct methods for sparse matrices

Iain S Duff;Albert M Erisman;John K Reid

2522
Citations
The Multifrontal Solution of Indefinite Sparse Symmetric Linear

I. S. Duff;J. K. Reid

1394
Citations
Co-array Fortran for parallel programming

Robert W. Numrich;John Reid

1022
Citations
Fortran 90/95 explained

Michael Metcalf;John Ker Reid

664
Citations
On the Estimation of Sparse Jacobian Matrices

A. R. Curtis;M. J. D. Powell;J. K. Reid

622
Citations
The Multifrontal Solution of Unsymmetric Sets of Linear Equations

I. S. Duff;J. K. Reid

324
Citations
A practicable steepest-edge simplex algorithm

Donald Goldfarb;John K. Reid

305
Citations
A SPARSITY-EXPLOITING VARIANT OF THE BARTELS-GOLUB DECOMPOSITION FOR LINEAR PROGRAMMING BASES

John K. Reid

285
Citations
An Implementation of Tarjan's Algorithm for the Block Triangularization of a Matrix

I. S. Duff;J. K. Reid

272
Citations
MA27 -- A set of Fortran subroutines for solving sparse symmetric sets of linear equations

Iain S Duff;John K Reid

217
Citations
Fortran 90 Explained

Michael Metcalf;John Reid

212
Citations
On the Automatic Scaling of Matrices for Gaussian Elimination

A. R. Curtis;J. K. Reid

207
Citations
The factorization of sparse symmetric indefinite matrices

I. S. Duff;N. I. M. Gould;J. K. Reid;J. A. Scott

183
Citations
Large Sparse Sets of Linear Equations

J. K. Reid

169
Citations
Modern Fortran Explained

Michael Metcalf;John Reid;Malcolm Cohen

167
Citations
Some Design Features of a Sparse Matrix Code

I. S. Duff;J. K. Reid

158
Citations
Fortran 95/2003 explained

Michael Metcalf;John Ker Reid;Malcolm Cohen

154
Citations
Algorithm 891: A Fortran virtual memory system

John K. Reid;Jennifer A. Scott

149
Citations
The design of MA48: a code for the direct solution of sparse unsymmetric linear systems of equations

I. S. Duff;J. K. Reid

144
Citations
The Use of Conjugate Gradients for Systems of Linear Equations Possessing “Property A”

J. K. Reid

109
Citations
Co-arrays in the next Fortran Standard

Robert W. Numrich;John Reid

99
Citations

Frequent Co-Authors

Iain S. Duff Rutherford Appleton Laboratory

Nicholas I. M. Gould University of Oxford

Fred G. Gustavson Umeå University

John A. Gunnels Nvidia (United States)

Jorge Nocedal Northwestern University

Donald Goldfarb Columbia University

Tony F. Chan University of California, Los Angeles

External Links

Personal website of John Reid Google Scholar page

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