Chris Paige

721 total citations
9 papers, 503 citations indexed

About

Chris Paige is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Sociology and Political Science. According to data from OpenAlex, Chris Paige has authored 9 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 2 papers in Numerical Analysis and 2 papers in Sociology and Political Science. Recurrent topics in Chris Paige's work include Matrix Theory and Algorithms (4 papers), Statistical and numerical algorithms (2 papers) and Numerical methods for differential equations (2 papers). Chris Paige is often cited by papers focused on Matrix Theory and Algorithms (4 papers), Statistical and numerical algorithms (2 papers) and Numerical methods for differential equations (2 papers). Chris Paige collaborates with scholars based in United States, Canada and Italy. Chris Paige's co-authors include Charles Van Loan, Beresford Ν. Parlett, H.A. van der Vorst, Richard Madsen, Dean Isaacson, Xiao-Wen Chang, Sabine Van Huffel, Chi-Lun Cheng, Nicola Mastronardi and Alexander Kukush and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Automatica.

In The Last Decade

Chris Paige

8 papers receiving 437 citations

Peers

Chris Paige
Comparison fields: 5 of 73
  • Computational Theory and Mathematics 331
  • Numerical Analysis 198
  • Atomic and Molecular Physics, and Optics 118
  • Statistical and Nonlinear Physics 88
  • Computational Mechanics 76
Replace Gregory Ammar with:
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Eugene D. Denman United States
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M. A. Wolfe United Kingdom
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Bruno Iannazzo Italy
Dirk Laurie South Africa
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Gregory Ammar United States View profile →
Citations per field, relative to Chris Paige
Chris Paige · 1×
Citations per year, relative to Chris Paige
Chris Paige · 1×

Countries citing papers authored by Chris Paige

Since Specialization
Citations

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

Fields of papers citing papers by Chris Paige

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Paige

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 1
2 0
3 41
4
Perturbation analysis of some matrix factorizations
18
5 189
6 49
7 147
8
A Hamiltonian-Schur Decomposition
2
9 56

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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