D. E. Amos

68 papers receiving 1.2k citations

Peers

D. E. Amos
Comparison fields: 5 of 95
  • Statistics and Probability 176
  • Applied Mathematics 179
  • Modeling and Simulation 61
  • Numerical Analysis 75
  • Mathematical Physics 109
Replace R. V. Churchill with:
R. V. Churchill United States
Serge Dubuc Canada
Gustav Doetsch Germany
Aldo Tagliani Italy
Ram P. Kanwal United States
H. Schwetlick Germany
Seymour Haber United States
R. M. Redheffer United States
A. V. Balakrishnan
D. E. Amos relative to R. V. Churchill United States R. V. Churchill's profile →
Citations per field
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R. V. Churchill · 1×
Citations per year

Countries citing papers authored by D. E. Amos

Since Specialization
Citations

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

Fields of papers citing papers by D. E. Amos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. E. Amos. 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 D. E. Amos. The network helps show where D. E. Amos may publish in the future.

Co-authors

The 25 scholars most cited alongside D. E. Amos, 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 D. E. Amos Line = papers co-authored together D. E. Amos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986176
2 1974133
3 1963118
4 1991110
5 200839
6 200439
7 200636
8 200832
9 201231
10 198929
11 198026
12 197725
13 201123
14 200223
15 196420
16 199519
17 200819
18 196916
19 201615
20 198315

About D. E. Amos

D. E. Amos is a scholar working on Mechanical Engineering, Mechanics of Materials, Computational Theory and Mathematics, Artificial Intelligence and Statistics and Probability, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Heat Transfer and Optimization (13 papers), Mathematical functions and polynomials (9 papers), Statistical Distribution Estimation and Applications (8 papers), Bayesian Methods and Mixture Models (8 papers), Numerical methods in inverse problems (5 papers), Thermal properties of materials (5 papers), Matrix Theory and Algorithms (4 papers) and Polynomial and algebraic computation (4 papers). The work is most often cited by research in Statistics and Probability (176 citations), Applied Mathematics (179 citations), Modeling and Simulation (61 citations), Numerical Analysis (75 citations) and Mathematical Physics (109 citations). D. E. Amos has collaborated with scholars based in United States, Italy and New Zealand. Frequent co-authors include James V. Beck, V.K. Luk, Filippo de Monte, M. J. Forrestal, A. Haji‐Sheikh, E. S. Pearson, Norman L. Johnson, William G. Bulgren, Robert L. McMasters and F.G. Yost. Their work appears in journals such as ACM Transactions on Mathematical Software, International Journal of Heat and Mass Transfer, Mathematics of Computation, Journal of Applied Mechanics and Biometrika.

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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