John E. Maxfield

419 citations
17 papers · 298 · h-index 7

Impact in

Papers in

John E. Maxfield

16 papers receiving 236 citations

Peers

John E. Maxfield
Comparison fields: 5 of 77
  • Numerical Analysis 75
  • Computational Theory and Mathematics 147
  • Algebra and Number Theory 30
  • Theoretical Computer Science 7
  • Geometry and Topology 36
Replace Gilbert Helmberg with:
Gilbert Helmberg Austria
Jorma K. Merikoski Finland
G. Mühlbach Germany
Charles Hobby United States
Mau-Hsiang Shih Taiwan
William J. Gilbert Canada
J. H. Wells United States
A. W. Ingleton United Kingdom
Pierre Liardet France
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John E. Maxfield relative to Gilbert Helmberg Austria Gilbert Helmberg's profile →
Citations per field
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Citations per year

Countries citing papers authored by John E. Maxfield

Since Specialization
Citations

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

Fields of papers citing papers by John E. Maxfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside John E. Maxfield, 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 John E. Maxfield Line = papers co-authored together John E. Maxfield links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1962133
2 196042
3 195338
4 195737
5 196014
6 19708
7
Discovering number theory
19727
8 19706
9 19654
10 19523
11 19721
12 19781
13
Abstract Algebra and Solution by Radicals
19711
14 19591
15 19601
16 19551
17 20220

About John E. Maxfield

John E. Maxfield is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Mathematical Physics, Geometry and Topology and Mechanics of Materials, having authored 17 papers that have together received 298 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (2 papers), History and Theory of Mathematics (2 papers), Matrix Theory and Algorithms (2 papers), Mathematics and Applications (2 papers), Iterative Methods for Nonlinear Equations (1 paper), Metallurgy and Material Forming (1 paper), Mechanical Engineering and Vibrations Research (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Numerical Analysis (75 citations), Computational Theory and Mathematics (147 citations), Algebra and Number Theory (30 citations), Theoretical Computer Science (7 citations) and Geometry and Topology (36 citations). John E. Maxfield has collaborated with scholars based in United States and Canada. Frequent co-authors include Henryk Minc, David K. Cheng, M. V. Wilkes, J. C. P. Miller, Karl G. Lark, B. Curnutte, Robert E. Bird and Harry Furstenberg. Their work appears in journals such as Pacific Journal of Mathematics, Proceedings of the Edinburgh Mathematical Society, Flow Turbulence and Combustion, Nature and Journal of Mathematical Analysis and Applications.

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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