David Scott

61 papers receiving 912 citations

Peers

David Scott
Comparison fields: 5 of 99
  • Numerical Analysis 165
  • Computational Theory and Mathematics 420
  • Energy Engineering and Power Technology 62
  • Computational Mathematics 11
  • Statistical and Nonlinear Physics 150
Replace Jianyu Pan with:
Jianyu Pan China
Zhongcheng Wang China
A. Bergen United States
Xiaonan Wu China
B. Mathieu France
Caihua Chen United States
Qiqi Wang United States
Aihui Zhou China
R. C. Desai India
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Citations per field
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Citations per year

Countries citing papers authored by David Scott

Since Specialization
Citations

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

Fields of papers citing papers by David Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside David Scott, 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 Scott Line = papers co-authored together David Scott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979266
2 1986131
3 199360
4 200144
5 200435
6 198233
7 199031
8 197929
9 198728
10 199228
11 198127
12 200223
13 199222
14 200221
15 200219
16 197916
17 200315
18 198815
19 198414
20 199313

About David Scott

David Scott is a scholar working on Computational Theory and Mathematics, Renewable Energy, Sustainability and the Environment, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (15 papers), Electromagnetic Scattering and Analysis (7 papers), Global Energy and Sustainability Research (6 papers), Advanced Optimization Algorithms Research (5 papers), Scientific Research and Discoveries (4 papers), Thermal Radiation and Cooling Technologies (4 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers) and Innovation Diffusion and Forecasting (3 papers). The work is most often cited by research in Numerical Analysis (165 citations), Computational Theory and Mathematics (420 citations), Energy Engineering and Power Technology (62 citations), Computational Mathematics (11 citations) and Statistical and Nonlinear Physics (150 citations). David Scott has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Beresford Ν. Parlett, Ronald B. Morgan, Marc A. Rosen, Sean Wright, J. B. Haddow, W. Häfele, Joseph Brandenburg, Robert C. Ward, S. S. Iyengar and R. Gruber. Their work appears in journals such as International Journal of Hydrogen Energy, Mathematics of Computation, Computer Physics Communications, Linear Algebra and its Applications and Communications of the ACM.

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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