J. A. C. Weideman

4.0k citations
49 papers · 2.7k indexed · 2 hit papers · h-index 22
Topics
Numerical methods for differential equations (18 papers)Nonlinear Waves and Solitons (16 papers)Fractional Differential Equations Solutions (11 papers)

In The Last Decade

J. A. C. Weideman

49 papers receiving 2.5k citations

Hit Papers

A MATLAB differentiation matrix suite200020262008201720002014200400600

Peers

J. A. C. Weideman
Comparison fields: 5 of 106
  • Numerical Analysis 869
  • Computational Mechanics 616
  • Statistical and Nonlinear Physics 570
  • Atomic and Molecular Physics, and Optics 481
  • Applied Mathematics 412
Replace Tobin A. Driscoll with:
Tobin A. Driscoll United States
J. R. Ockendon United Kingdom
D. del-Castillo-Negrete United States
Alexander Ostermann Austria
Ernst Hairer Switzerland
Pingwen Zhang China
Ivan G. Graham United Kingdom
L. M. Delves United Kingdom
Sebastian Reich Germany
Arieh Iserles United Kingdom
J. A. C. Weideman relative to Tobin A. Driscoll United States Tobin A. Driscoll's profile →
Citations per field
00.5×1.5×1.9×
Tobin A. Driscoll · 1×
Citations per year

Countries citing papers authored by J. A. C. Weideman

Since Specialization
Citations

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

Fields of papers citing papers by J. A. C. Weideman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. C. Weideman. 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 J. A. C. Weideman. The network helps show where J. A. C. Weideman may publish in the future.

Co-authorship network of co-authors of J. A. C. Weideman

This figure shows the co-authorship network connecting the top 25 collaborators of J. A. C. Weideman. A scholar is included among the top collaborators of J. A. C. Weideman 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 J. A. C. Weideman. J. A. C. Weideman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 10
3 8
4 3
5 29
6 11
7 13
8 11
9 43
10 22
11 3
12 45
13 48
14 32
15 63
16 21
17 19
18 9
19 280
20 15

About J. A. C. Weideman

J. A. C. Weideman is a scholar working on Numerical Analysis, Modeling and Simulation and Statistical and Nonlinear Physics, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include Numerical methods for differential equations (18 papers), Nonlinear Waves and Solitons (16 papers) and Fractional Differential Equations Solutions (11 papers). The work is most often cited by research in Numerical Analysis (869 citations), Modeling and Simulation (410 citations) and Statistical and Nonlinear Physics (570 citations). J. A. C. Weideman has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Lloyd N. Trefethen, S C Reddy, B. M. Herbst, T. Schmelzer, Bengt Fornberg, A. Cloot, Karel J. in ’t Hout, Kathy Driver, Helmut Prodinger and Carsten Schneider. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.

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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