John McCabe

516 citations
39 papers · 334 · h-index 10

Impact in

Papers in

John McCabe

33 papers receiving 300 citations

Peers

John McCabe
Comparison fields: 5 of 54
  • Numerical Analysis 114
  • Applied Mathematics 193
  • Modeling and Simulation 84
  • Algebra and Number Theory 39
  • Computational Theory and Mathematics 64
Replace E.K. Ifantis with:
E.K. Ifantis Greece
英典 橋本
Yu‐Qiu Zhao China
Amílcar Branquinho Portugal
Andrew Russell Forsyth
Reinhard Schäfke France
В. Н. Сорокин Russia
Arjun K. Rathie India
A A Gonchar Russia
Simon J. A. Malham United Kingdom
John McCabe relative to E.K. Ifantis Greece E.K. Ifantis's profile →
Citations per field
00.5×1.5×2.5×
E.K. Ifantis · 1×
Citations per year

Countries citing papers authored by John McCabe

Since Specialization
Citations

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

Fields of papers citing papers by John McCabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside John McCabe, 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 McCabe Line = papers co-authored together John McCabe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197648
2 197548
3 197435
4 197332
5 199517
6 199115
7 197414
8 198311
9 198510
10 19969
11 19869
12 19999
13 20158
14 19848
15 19827
16 19796
17 19756
18 19776
19 19835
20 19814

About John McCabe

John McCabe is a scholar working on Applied Mathematics, Numerical Analysis, Computational Theory and Mathematics, Modeling and Simulation and Statistical and Nonlinear Physics, having authored 39 papers that have together received 334 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (19 papers), Iterative Methods for Nonlinear Equations (11 papers), Fractional Differential Equations Solutions (6 papers), Matrix Theory and Algorithms (4 papers), Statistical Distribution Estimation and Applications (4 papers), Mathematical Approximation and Integration (3 papers), Quantum Mechanics and Non-Hermitian Physics (3 papers) and Numerical Methods and Algorithms (3 papers). The work is most often cited by research in Numerical Analysis (114 citations), Applied Mathematics (193 citations), Modeling and Simulation (84 citations), Algebra and Number Theory (39 citations) and Computational Theory and Mathematics (64 citations). John McCabe has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include G. M. Phillips, A. Sri Ranga, A.K. Common, E. W. Cheney, W. A. Light, George M. Phillips, Teresa E. Pérez, Frank Deutsch, Miguel A. Piñar and Dennis Howitt. Their work appears in journals such as Journal of Computational and Applied Mathematics, Mathematics of Computation, Journal of Mathematical Analysis and Applications, Proceedings of the Edinburgh Mathematical Society and Journal of Approximation Theory.

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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