Karl E. Gustafson
- Applied Mathematics top 1%
- Computational Theory and Mathematics top 1%
- Mathematical Physics top 5%
- Algebra and Number Theory top 10%
- Geometry and Topology top 5%
- Co-authors
- Duggirala K. M. RaoJames A. SethianI. ΑντωνίουBrian EatonRobert K. GoodrichKristina M. JohnsonW. G. PritchardP. Freymuth
- Topics
- Matrix Theory and Algorithms (4 papers)Algebraic and Geometric Analysis (4 papers)Neural Networks and Applications (3 papers)
- Journals
- Mathematics of ComputationPhysica A Statistical Mechanics and its ApplicationsChaos Solitons & Fractals
- Partner nations
- United StatesBelgium
In The Last Decade
Karl E. Gustafson
19 papers receiving 639 citations
Peers
Comparison fields: 5 of 66
- Applied Mathematics 399
- Computational Theory and Mathematics 385
- Mathematical Physics 161
- Algebra and Number Theory 109
- Geometry and Topology 92
Countries citing papers authored by Karl E. Gustafson
This map shows the geographic impact of Karl E. Gustafson'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 Karl E. Gustafson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl E. Gustafson more than expected).
Fields of papers citing papers by Karl E. Gustafson
This network shows the impact of papers produced by Karl E. Gustafson. 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 Karl E. Gustafson. The network helps show where Karl E. Gustafson may publish in the future.
Co-authorship network of co-authors of Karl E. Gustafson
This figure shows the co-authorship network connecting the top 25 collaborators of Karl E. Gustafson. A scholar is included among the top collaborators of Karl E. Gustafson 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 Karl E. Gustafson. Karl E. Gustafson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | A COMPUTATIONAL TRIGONOMETRY, AND RELATED CONTRIBUTIONS BY RUSSIANS KANTOROVICH, KREIN, KAPORIN | 3 |
| 7 | Introduction to partial differential equations and Hilbert space methods | 41 |
| 8 | 191 | |
| 9 | 321 | |
| 10 | 11 | |
| 11 | 9 | |
| 12 | 49 | |
| 13 | 7 | |
| 14 | A Second-Order Translation, Rotation and Scale Invariant Neural Network | 3 |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 14 | |
| 18 | 2 | |
| 19 | 15 |
About Karl E. Gustafson
Karl E. Gustafson is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 19 papers that have together received 703 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (4 papers), Algebraic and Geometric Analysis (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Applied Mathematics (399 citations), Computational Theory and Mathematics (385 citations) and Algebra and Number Theory (109 citations). Karl E. Gustafson has collaborated with scholars based in United States and Belgium. Frequent co-authors include Duggirala K. M. Rao, James A. Sethian, I. Αντωνίου, Brian Eaton, Robert K. Goodrich, Kristina M. Johnson, W. G. Pritchard, P. Freymuth, R. R. Leben and William P. Reinhardt. Their work appears in journals such as Mathematics of Computation, Physica A Statistical Mechanics and its Applications and Chaos Solitons & Fractals.
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.