Stephen Joe

33 papers receiving 1.1k citations

Peers

Stephen Joe
Comparison fields: 5 of 96
  • Numerical Analysis 717
  • Statistics, Probability and Uncertainty 317
  • Applied Mathematics 245
  • Statistics and Probability 111
  • Computational Theory and Mathematics 195
Replace G.W. Wasilkowski with:
G.W. Wasilkowski United States
Klaus Ritter Germany
Anders Lindquist Sweden
Fred J. Hickernell United States
Seymour Haber United States
William J. Morokoff United States
Josef Dick Australia
Henryk Woźniakowski Poland
Frances Y. Kuo Australia
A. V. Balakrishnan United States
Stephen Joe relative to G.W. Wasilkowski United States G.W. Wasilkowski's profile →
Citations per field
00.5×2.9×
G.W. Wasilkowski · 1×
Citations per year

Countries citing papers authored by Stephen Joe

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Joe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Stephen Joe, 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 Stephen Joe Line = papers co-authored together Stephen Joe 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 1994423
2 2003253
3 2008208
4 200283
5 200251
6 198538
7 200228
8 199220
9 199018
10 198515
11 200613
12 198511
13 199310
14 198710
15
First Steps in Numerical Analysis.
19787
16 20037
17 19937
18 19925
19 20215
20 20215

About Stephen Joe

Stephen Joe is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Applied Mathematics, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (21 papers), Mathematical functions and polynomials (10 papers), Digital Image Processing Techniques (6 papers), Electromagnetic Scattering and Analysis (5 papers), Fractional Differential Equations Solutions (5 papers), Matrix Theory and Algorithms (4 papers), Coding theory and cryptography (4 papers) and Numerical Methods and Algorithms (3 papers). The work is most often cited by research in Numerical Analysis (717 citations), Statistics, Probability and Uncertainty (317 citations), Applied Mathematics (245 citations), Statistics and Probability (111 citations) and Computational Theory and Mathematics (195 citations). Stephen Joe has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Frances Y. Kuo, Ian H. Sloan, Ivan G. Graham, Chaitanya Joshi, Muhammad Ejaz, John Turner, J. F. Lyness, Yi Yan, David C. Hunt and J. N. Lyness. Their work appears in journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis, Journal of Computational and Applied Mathematics, IMA Journal of Numerical Analysis and ACM Transactions on Mathematical Software.

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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