David M. Young

10.9k total citations · 4 hit papers
108 papers, 7.3k citations indexed

About

David M. Young is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Applied Mathematics. According to data from OpenAlex, David M. Young has authored 108 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computational Theory and Mathematics, 40 papers in Numerical Analysis and 13 papers in Applied Mathematics. Recurrent topics in David M. Young's work include Matrix Theory and Algorithms (43 papers), Advanced Optimization Algorithms Research (21 papers) and Numerical methods for differential equations (20 papers). David M. Young is often cited by papers focused on Matrix Theory and Algorithms (43 papers), Advanced Optimization Algorithms Research (21 papers) and Numerical methods for differential equations (20 papers). David M. Young collaborates with scholars based in United States, Australia and China. David M. Young's co-authors include J. F. Traub, Olof B. Widlund, David R. Kincaid, Kang C. Jea, Robert T. Gregory, Colin Duffield, Wenzhe Tang, Robert DeLine, Mary Shaw and L. A. Hageman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gut and Communications of the ACM.

In The Last Decade

David M. Young

100 papers receiving 6.2k citations

Hit Papers

Iterative Methods for the Solution of Equations. 1954 2026 1978 2002 1967 1973 1995 1954 500 1000 1.5k

Peers

David M. Young
Comparison fields: 5 of 196
  • Numerical Analysis 2.9k
  • Computational Theory and Mathematics 2.9k
  • Computational Mechanics 1.2k
  • Artificial Intelligence 681
  • Atomic and Molecular Physics, and Optics 667
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Citations per field, relative to David M. Young
David M. Young · 1×
Citations per year, relative to David M. Young
David M. Young · 1×

Countries citing papers authored by David M. Young

Since Specialization
Citations

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

Fields of papers citing papers by David M. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Young

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Young. A scholar is included among the top collaborators of David M. Young 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 David M. Young. David M. Young 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
# Work Indexed citations
1 0
2
Adaptive Game Music: The Evolution and Future of Dynamic Music Systems in Video Games
1
3 11
4
Partial differential equations
2
5
Payment and Pricing Plans: Survey Identifies Most Common Practices.
1
6 6
7 1
8 5
9
The search for “high-level” parallelism for iterative sparse linear system solvers
3
10 11
11 30
12 0
13 222
14
Iterative methods for solving large systems of linear equations
1
15 16
16 7
17 70
18 37
19
Iterative methods for solving partial difference equations of elliptic type breakdown →
508
20 81

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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