John G. Lewis
- Computational Theory and Mathematics top 0.5%
- Numerical Analysis top 2%
- Computer Networks and Communications top 5%
- Hardware and Architecture top 2%
- Computational Mechanics top 5%
- Co-authors
- Roger G. GrimesIain DuffHorst D. SimonCleve AshcraftBarry W. PeytonRobert A. GeijnAlex PothenPetter E. Bjørstad
- Topics
- Matrix Theory and Algorithms (15 papers)Advanced Optimization Algorithms Research (7 papers)Parallel Computing and Optimization Techniques (6 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
John G. Lewis
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Computational Theory and Mathematics 875
- Numerical Analysis 336
- Computer Networks and Communications 330
- Hardware and Architecture 303
- Computational Mechanics 274
Countries citing papers authored by John G. Lewis
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 90 | |
| 3 | 19 | |
| 4 | Proceedings of the Fifth SIAM Conference on Applied Linear Algebra | 24 |
| 5 | 339 | |
| 6 | 42 | |
| 7 | 16 | |
| 8 | 4 | |
| 9 | Orderings for Parallel Sparse Symmetric Factorization | 23 |
| 10 | 16 | |
| 11 | 106 | |
| 12 | 11 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 46 | |
| 16 | 79 | |
| 17 | 27 | |
| 18 | 11 | |
| 19 | 19 | |
| 20 | 27 |
About John G. Lewis
John G. Lewis is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Hardware and Architecture, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (15 papers), Advanced Optimization Algorithms Research (7 papers) and Parallel Computing and Optimization Techniques (6 papers). The work is most often cited by research in Computational Mathematics (44 citations), Numerical Analysis (336 citations) and Computational Theory and Mathematics (875 citations). John G. Lewis has collaborated with scholars based in United States, Australia and United Kingdom. Frequent 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. Their work appears in journals such as Physics Today, Journal of Computational Physics and Communications of the ACM.
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.