David Day

20 papers and 376 indexed citations i.

About

David Day is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Electrical and Electronic Engineering. According to data from OpenAlex, David Day has authored 20 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 7 papers in Numerical Analysis and 4 papers in Electrical and Electronic Engineering. Recurrent topics in David Day’s work include Matrix Theory and Algorithms (8 papers), Numerical methods for differential equations (4 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). David Day is often cited by papers focused on Matrix Theory and Algorithms (8 papers), Numerical methods for differential equations (4 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). David Day collaborates with scholars based in United States, Romania and Canada. David Day's co-authors include Michael A. Heroux, Qiang Ye, Zhaojun Bai, Louis A. Romero, Manoj Bhardwaj, Charbel Farhat, Michel Lesoinne, Kendall Pierson, Daniel J. Rixen and Garth M. Reese and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Mathematics of Computation and International Journal for Numerical Methods in Engineering.

In The Last Decade

Co-authorship network of co-authors of David Day i

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.

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).

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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