D. E. Amos
Impact in
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Applied Mathematics top 5%
- Mathematical functions and polynomials
Papers in
-
- Heat Transfer and Optimization 13
- Co-authors
- James V. Beck (15 shared papers)V.K. Luk (2 shared papers)Filippo de Monte (9 shared papers)M. J. Forrestal (1 shared paper)A. Haji‐Sheikh (7 shared papers)E. S. Pearson (2 shared papers)Norman L. Johnson (1 shared paper)William G. Bulgren (5 shared papers)
- Journals
- ACM Transactions on Mathematical Software (13 papers)International Journal of Heat and Mass Transfer (10 papers)Mathematics of Computation (7 papers)Journal of Applied Mechanics (5 papers)Journal of the American Statistical Association (4 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
D. E. Amos
67 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Statistics and Probability 167
- Applied Mathematics 171
- Modeling and Simulation 60
- Numerical Analysis 69
- Mathematical Physics 107
Countries citing papers authored by D. E. Amos
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
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.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 170 | |
| 2 | 1974 | 127 | |
| 3 | 1963 | 110 | |
| 4 | 1991 | 104 | |
| 5 | 2004 | 38 | |
| 6 | 2008 | 36 | |
| 7 | 2006 | 35 | |
| 8 | 2008 | 32 | |
| 9 | 2012 | 30 | |
| 10 | 1989 | 26 | |
| 11 | 1980 | 25 | |
| 12 | 1977 | 25 | |
| 13 | 2002 | 23 | |
| 14 | 2011 | 22 | |
| 15 | 1964 | 20 | |
| 16 | 2008 | 19 | |
| 17 | 1995 | 18 | |
| 18 | 1969 | 16 | |
| 19 | 1983 | 15 | |
| 20 | 2016 | 14 |
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 70 papers that have together received 1.2k 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), Polynomial and algebraic computation (4 papers) and Matrix Theory and Algorithms (4 papers). The work is most often cited by research in Statistics and Probability (167 citations), Applied Mathematics (171 citations), Modeling and Simulation (60 citations), Numerical Analysis (69 citations) and Mathematical Physics (107 citations). D. E. Amos has collaborated with scholars based in United States, Italy and United Kingdom. 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 Journal of the American Statistical Association.
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.