Paul E. Saylor

1.1k citations
34 papers · 843 · h-index 15

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

32 papers receiving 725 citations

Peers

Paul E. Saylor
Comparison fields: 5 of 62
  • Numerical Analysis 249
  • Computational Theory and Mathematics 384
  • Computational Mathematics 9
  • Astronomy and Astrophysics 228
  • Computational Mechanics 259
Replace Michel Méhrenberger with:
Michel Méhrenberger France
M.A. Botchev (Bochev) Netherlands
Katharina Kormann Germany
Pascal Omnès France
Charles-Michel Marle France
Yingda Cheng United States
Marvin L. Adams United States
G. F. D. Duff Canada
Mengzhao Qin China
George J. Habetler United States
Paul E. Saylor relative to Michel Méhrenberger France Michel Méhrenberger's profile →
Citations per field
00.5×2×3×4×4.5×
Michel Méhrenberger · 1×
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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990203
2 199877
3 199875
4 199871
5 198663
6 198943
7 198935
8 200126
9 198825
10 198824
11 198922
12 199122
13 197421
14 198819
15 197317
16 200114
17 199112
18 200411
19 199210
20 20059

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 34 papers that have together received 843 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), Pulsars and Gravitational Waves Research (4 papers), Advanced Numerical Methods in Computational Mathematics (4 papers) and Differential Equations and Numerical Methods (3 papers). The work is most often cited by research in Numerical Analysis (249 citations), Computational Theory and Mathematics (384 citations), Computational Mathematics (9 citations), Astronomy and Astrophysics (228 citations) and Computational Mechanics (259 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, Physical Review Letters, Industrial & Engineering Chemistry Research and Numerical Algorithms.

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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