John G. Lewis

2.2k total citations
30 papers, 1.5k citations indexed

About

John G. Lewis is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Hardware and Architecture. According to data from OpenAlex, John G. Lewis has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 7 papers in Numerical Analysis and 6 papers in Hardware and Architecture. Recurrent topics in John G. Lewis's work include Matrix Theory and Algorithms (15 papers), Advanced Optimization Algorithms Research (7 papers) and Parallel Computing and Optimization Techniques (6 papers). John G. Lewis is often cited by papers focused on Matrix Theory and Algorithms (15 papers), Advanced Optimization Algorithms Research (7 papers) and Parallel Computing and Optimization Techniques (6 papers). John G. Lewis collaborates with scholars based in United States, Australia and United Kingdom. John G. Lewis's co-authors include Roger G. Grimes, Iain Duff, Horst D. Simon, Cleve Ashcraft, Barry W. Peyton, Robert A. Geijn, Alex Pothen, Petter E. Bjørstad, Tony F. Chan and Charles E. Leiserson and has published in prestigious journals such as Physics Today, Journal of Computational Physics and Communications of the ACM.

In The Last Decade

John G. Lewis

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John G. Lewis United States 17 875 336 330 303 274 30 1.5k
Roger G. Grimes United States 14 834 1.0× 337 1.0× 303 0.9× 326 1.1× 260 0.9× 28 1.4k
W. L. Miranker United States 17 507 0.6× 316 0.9× 308 0.9× 179 0.6× 260 0.9× 56 1.3k
J. A. Scott United Kingdom 22 867 1.0× 420 1.3× 111 0.3× 169 0.6× 420 1.5× 145 1.8k
Joseph W. H. Liu Canada 25 1.6k 1.8× 437 1.3× 806 2.4× 652 2.2× 470 1.7× 41 2.8k
D. J. Evans United Kingdom 22 929 1.1× 772 2.3× 672 2.0× 288 1.0× 327 1.2× 241 2.2k
Andrew H. Sherman United States 13 361 0.4× 187 0.6× 194 0.6× 119 0.4× 241 0.9× 32 934
P. Dewilde Netherlands 21 695 0.8× 238 0.7× 109 0.3× 55 0.2× 289 1.1× 95 2.3k
Elizabeth Cuthill Sweden 4 376 0.4× 103 0.3× 195 0.6× 174 0.6× 256 0.9× 7 986
K. Stanley United States 7 315 0.4× 98 0.3× 400 1.2× 433 1.4× 309 1.1× 11 1.2k
James McKee United Kingdom 11 463 0.5× 84 0.3× 200 0.6× 175 0.6× 245 0.9× 32 1.2k

Countries citing papers authored by John G. Lewis

Since Specialization
Citations

This map shows the geographic impact of John G. Lewis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John G. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John G. Lewis more than expected).

Fields of papers citing papers by John G. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John G. Lewis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John G. Lewis. The network helps show where John G. Lewis may publish in the future.

Co-authorship network of co-authors of John G. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of John G. Lewis. A scholar is included among the top collaborators of John G. Lewis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John G. Lewis. John G. Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lewis, John G., D. G. Payne, & Robert A. Geijn. (2002). Matrix-vector multiplication and conjugate gradient algorithms on distributed memory computers. 542–550. 12 indexed citations
2.
Ashcraft, Cleve, Roger G. Grimes, & John G. Lewis. (1998). Accurate Symmetric Indefinite Linear Equation Solvers. SIAM Journal on Matrix Analysis and Applications. 20(2). 513–561. 90 indexed citations
3.
Lewis, John G., et al.. (1997). Sparse Multifrontal Rank Revealing QR Factorization. SIAM Journal on Matrix Analysis and Applications. 18(1). 159–180. 19 indexed citations
4.
Lewis, John G.. (1994). Proceedings of the Fifth SIAM Conference on Applied Linear Algebra. Society for Industrial and Applied Mathematics eBooks. 24 indexed citations
5.
Grimes, Roger G., John G. Lewis, & Horst D. Simon. (1994). A Shifted Block Lanczos Algorithm for Solving Sparse Symmetric Generalized Eigenproblems. SIAM Journal on Matrix Analysis and Applications. 15(1). 228–272. 339 indexed citations
6.
Lewis, John G. & Robert A. Geijn. (1993). Distributed memory matrix-vector multiplication and conjugate gradient algorithms. 484–492. 42 indexed citations
7.
Grimes, Roger G., et al.. (1991). Algorithm 692: Model implementation and test package for the Sparse Basic Linear Algebra Subprograms. ACM Transactions on Mathematical Software. 17(2). 264–272. 4 indexed citations
8.
Grimes, Roger G., et al.. (1991). Sparse extensions to the FORTRAN Basic Linear Algebra Subprograms. ACM Transactions on Mathematical Software. 17(2). 253–263. 16 indexed citations
9.
Lewis, John G., Barry W. Peyton, & Alex Pothen. (1989). A Fast Algorithm for Reordering Sparse Matrices for Parallel Factorization. SIAM Journal on Scientific and Statistical Computing. 10(6). 1146–1173. 57 indexed citations
10.
Leiserson, Charles E. & John G. Lewis. (1987). Orderings for Parallel Sparse Symmetric Factorization. 27–31. 23 indexed citations
11.
Erisman, A. M., Roger G. Grimes, John G. Lewis, William G. Poole, & Horst D. Simon. (1987). Evaluation of Orderings for Unsymmetric Sparse Matrices. SIAM Journal on Scientific and Statistical Computing. 8(4). 600–624. 16 indexed citations
12.
Ashcraft, Cleve, Roger G. Grimes, John G. Lewis, et al.. (1987). Progress in Sparse Matrix Methods for Large Linear Systems On Vector Supercomputers. 1(4). 10–30. 106 indexed citations
13.
Lewis, John G., et al.. (1985). Issues relating to extension of the Basic Linear Algebra Subprograms. ACM SIGNUM Newsletter. 20(1). 19–22. 11 indexed citations
14.
Lewis, John G., et al.. (1985). Proposed sparse extensions to the Basic Linear Algebra Subprograms. ACM SIGNUM Newsletter. 20(1). 22–25. 16 indexed citations
15.
Erisman, A. M., Roger G. Grimes, John G. Lewis, & William G. Poole. (1985). A Structurally Stable Modification of Hellerman–Rarick’s ${\text{P}}^4 $ Algorithm for Reordering Unsymmetric Sparse Matrices. SIAM Journal on Numerical Analysis. 22(2). 369–385. 25 indexed citations
16.
Lewis, John G.. (1983). Numerical experiments with SPARSPAK. ACM SIGNUM Newsletter. 18(3). 12–22. 2 indexed citations
17.
Lewis, John G.. (1982). Implementation of the Gibbs-Poole-Stockmeyer and Gibbs-King Algorithms. ACM Transactions on Mathematical Software. 8(2). 180–189. 79 indexed citations
18.
Duff, Iain, et al.. (1982). Sparse matrix test problems. ACM SIGNUM Newsletter. 17(2). 22–22. 46 indexed citations
19.
Lewis, John G. & R.G. Rehm. (1980). The numerical solution of a nonseparable elliptic partial differential equation by preconditioned conjugate gradients. Journal of Research of the National Bureau of Standards. 85(5). 367–367. 19 indexed citations
20.
Chan, Tony F. & John G. Lewis. (1979). Computing standard deviations. Communications of the ACM. 22(9). 526–531. 27 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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