Tim N.T. Goodman

443 citations
22 papers · 219 · h-index 8

Impact in

Papers in

Tim N.T. Goodman

20 papers receiving 200 citations

Peers

Tim N.T. Goodman
Comparison fields: 5 of 50
  • Numerical Analysis 42
  • Applied Mathematics 78
  • Computer Graphics and Computer-Aided Design 17
  • Computational Mechanics 96
  • Statistics and Probability 33
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Werner Haußmann Germany
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Citations per field
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Citations per year

Countries citing papers authored by Tim N.T. Goodman

Since Specialization
Citations

This map shows the geographic impact of Tim N.T. Goodman'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 Tim N.T. Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim N.T. Goodman more than expected).

Fields of papers citing papers by Tim N.T. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim N.T. Goodman. 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 Tim N.T. Goodman. The network helps show where Tim N.T. Goodman may publish in the future.

Co-authors

The 11 scholars most cited alongside Tim N.T. Goodman, 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 Tim N.T. Goodman Line = papers co-authored together Tim N.T. Goodman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199751
2 199943
3 200132
4 200318
5 20039
6 20009
7 19998
8 20048
9 20076
10 19956
11
Refinable spline functions and Hermite interpolation
20015
12 20065
13 20064
14 20204
15 20133
16 20082
17 20162
18 19982
19 20121
20 20061

About Tim N.T. Goodman

Tim N.T. Goodman is a scholar working on Computational Mechanics, Applied Mathematics, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Signal Processing, having authored 22 papers that have together received 219 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (13 papers), Mathematical Analysis and Transform Methods (11 papers), Image and Signal Denoising Methods (7 papers), Digital Filter Design and Implementation (4 papers), Advanced Mathematical Modeling in Engineering (3 papers), Mathematical Approximation and Integration (2 papers), Mathematical functions and polynomials (2 papers) and Iterative Methods for Nonlinear Equations (1 paper). The work is most often cited by research in Numerical Analysis (42 citations), Applied Mathematics (78 citations), Computer Graphics and Computer-Aided Design (17 citations), Computational Mechanics (96 citations) and Statistics and Probability (33 citations). Tim N.T. Goodman has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Say Song Goh, Marie‐Laurence Mazure, G. Rodríguez, Charles A. Micchelli, S. Seatzu, Halil Oruç, George M. Phillips, Thomas Yu, S. L. Lee and Jörg Peters. Their work appears in journals such as Journal of Approximation Theory, Applied and Computational Harmonic Analysis, Advances in Computational Mathematics, Constructive Approximation and Proceedings of the Edinburgh Mathematical Society.

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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