David Day

32 papers receiving 549 citations

Peers

David Day
Comparison fields: 5 of 64
  • Numerical Analysis 177
  • Computational Theory and Mathematics 321
  • Computational Mathematics 10
  • Computational Mechanics 217
  • Hardware and Architecture 56
Replace M. Arioli with:
M. Arioli United Kingdom
Reinhard Nabben Germany
Miroslav Rozložńık Czechia
Artem Napov Belgium
Igor Kaporin Russia
Petter E. Bjørstad Norway
Jacob B. Schroder United States
Cleve Ashcraft United States
Wei-Pai Tang United States
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Citations per field
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Citations per year

Countries citing papers authored by David Day

Since Specialization
Citations

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

Fields of papers citing papers by David Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Day, 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 David Day Line = papers co-authored together David Day 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 200191
2 200077
3 199973
4
A Test Matrix Collection for Non-Hermitian Eigenvalue Problems
199765
5 200245
6 200240
7 200536
8 200932
9 200224
10 200522
11 199721
12 200011
13 200710
14
Semi-duality in the two-sided lanczos algorithm
199310
15 20007
16 19926
17 19955
18 20115
19 20035
20 20045

About David Day

David Day is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Hardware and Architecture, having authored 34 papers that have together received 620 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (14 papers), Numerical methods for differential equations (6 papers), Electromagnetic Scattering and Analysis (4 papers), Numerical Methods and Algorithms (4 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Parallel Computing and Optimization Techniques (4 papers), Electromagnetic Simulation and Numerical Methods (3 papers) and Structural Health Monitoring Techniques (3 papers). The work is most often cited by research in Numerical Analysis (177 citations), Computational Theory and Mathematics (321 citations), Computational Mathematics (10 citations), Computational Mechanics (217 citations) and Hardware and Architecture (56 citations). David Day has collaborated with scholars based in United States, France and Romania. Frequent co-authors include Michael A. Heroux, Manoj Bhardwaj, Zhaojun Bai, Qiang Ye, Jack Dongarra, Charbel Farhat, Michel Lesoinne, Louis A. Romero, Kendall Pierson and Garth Reese. Their work appears in journals such as SIAM Journal on Scientific Computing, SIAM Journal on Matrix Analysis and Applications, Mathematische Nachrichten, SIAM Journal on Numerical Analysis and International Journal for Numerical Methods in Engineering.

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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