Paul E. Saylor

1.1k citations
31 papers · 620 · h-index 13

Impact in

Papers in

    • Numerical methods for differential equations 9
    • Iterative Methods for Nonlinear Equations 5
    • Advanced Optimization Algorithms Research 5
    • Differential Equations and Numerical Methods 3
    • Matrix Theory and Algorithms 20

Paul E. Saylor

29 papers receiving 510 citations

Peers

Paul E. Saylor
Comparison fields: 5 of 62
  • Numerical Analysis 243
  • Computational Theory and Mathematics 380
  • Computational Mathematics 9
  • Computational Mechanics 253
  • Atomic and Molecular Physics, and Optics 164
Replace Ivar Gustafsson with:
Ivar Gustafsson Sweden
Giorgio Pini Italy
Wei-Pai Tang United States
Gerhard Starke Germany
Loyce M. Adams United States
Michael Eiermann Germany
Tarek P. Mathew United States
Michael Peters Switzerland
G. L. Watson United Kingdom
Hengbin An China
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Citations per field
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Citations per year

Countries citing papers authored by Paul E. Saylor

Since Specialization
Citations

This map shows the geographic impact of Paul E. Saylor'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 Paul E. Saylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul E. Saylor more than expected).

Fields of papers citing papers by Paul E. Saylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul E. Saylor. 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 Paul E. Saylor. The network helps show where Paul E. Saylor may publish in the future.

Co-authors

The 25 scholars most cited alongside Paul E. Saylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul E. Saylor Line = papers co-authored together Paul E. Saylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990203
2 198663
3 198943
4 198935
5 200126
6 198825
7 198824
8 198922
9 199122
10 197421
11 198819
12 197317
13 200114
14 199112
15 200411
16 199210
17 20059
18 20119
19 19858
20 19808

About Paul E. Saylor

Paul E. Saylor is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Applied Mathematics, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 31 papers that have together received 620 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (20 papers), Numerical methods for differential equations (9 papers), Electromagnetic Scattering and Analysis (8 papers), Iterative Methods for Nonlinear Equations (5 papers), Advanced Optimization Algorithms Research (5 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Differential Equations and Numerical Methods (3 papers) and Statistical and numerical algorithms (3 papers). The work is most often cited by research in Numerical Analysis (243 citations), Computational Theory and Mathematics (380 citations), Computational Mathematics (9 citations), Computational Mechanics (253 citations) and Atomic and Molecular Physics, and Optics (164 citations). Paul E. Saylor has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Steven F. Ashby, Thomas A. Manteuffel, Howard C. Elman, Donald D. Joye, Philip D. Meyer, Albert J. Valocchi, Andreas von Manteuffel, Michael Holst, Markus Hegland and Jörg Liesen. Their work appears in journals such as SIAM Journal on Numerical Analysis, BIT Numerical Mathematics, Numerical Algorithms, Industrial & Engineering Chemistry Research and Applied Numerical Mathematics.

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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