I. D. Coope

30 papers receiving 670 citations

Peers

I. D. Coope
Comparison fields: 5 of 103
  • Numerical Analysis 343
  • Computational Theory and Mathematics 312
  • Artificial Intelligence 145
  • Computational Mechanics 113
  • Computer Vision and Pattern Recognition 110
Replace David Juedes with:
David Juedes United States
Erling D. Andersen Denmark
R. Hettich Germany
C. J. Price New Zealand
S.-P. Han United States
Dmitri E. Kvasov Italy
Stefan Ulbrich Germany
Frank E. Curtis United States
Pham Dinh Tao France
I. D. Coope relative to David Juedes United States David Juedes's profile →
Citations per field
00.5×3.1×
David Juedes · 1×
Citations per year

Countries citing papers authored by I. D. Coope

Since Specialization
Citations

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

Fields of papers citing papers by I. D. Coope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. D. Coope. 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 I. D. Coope. The network helps show where I. D. Coope may publish in the future.

Co-authorship network of co-authors of I. D. Coope

This figure shows the co-authorship network connecting the top 25 collaborators of I. D. Coope. A scholar is included among the top collaborators of I. D. Coope 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 I. D. Coope. I. D. Coope 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 4
2 1
3 6
4 7
5
TRACE INEQUALITIES WITH APPLICATIONS TO ORTHOGONAL REGRESSION AND MATRIX NEARNESS PROBLEMS
4
6
A DIRECT SEARCH FRAME-BASED CONJUGATE GRADIENTS METHOD ∗
5
7 6
8 23
9 30
10
A derivative-free frame-based conjugate gradients method
1
11 87
12 43
13 25
14 36
15 4
16
A modified BFGS formula maintaining positive definiteness with Armijo-Goldstein steplengths
3
17 2
18 14
19
Curve fitting with nonlinear spiral splines
0
20 7

About I. D. Coope

I. D. Coope is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 33 papers that have together received 773 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (20 papers), Matrix Theory and Algorithms (7 papers) and Advanced Numerical Analysis Techniques (6 papers). The work is most often cited by research in Numerical Analysis (343 citations), Computational Theory and Mathematics (312 citations) and Computational Mechanics (113 citations). I. D. Coope has collaborated with scholars based in New Zealand, United Kingdom and India. Frequent co-authors include C. J. Price, G. A. Watson, P. R. Graves-Morris, J. E. Dennis, R. Fletcher, M. D. Frías, J. Arrillaga, N.R. Watson and Anthony Butler. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Power Delivery 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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