Fred J. Hickernell
- Numerical Analysis top 0.5%
- Computational Theory and Mathematics top 0.5%
- Statistics, Probability and Uncertainty top 0.2%
- Management Science and Operations Research top 1%
- Computational Mechanics top 2%
- Co-authors
- Rong‐Xian YueY. C. YortsosH. WoźniakowskiMin‐Qian LiuChristiane LemieuxHenryk WoźniakowskiKai‐Tai FangHarald Niederreiter
- Topics
- Mathematical Approximation and Integration (46 papers)Probabilistic and Robust Engineering Design (16 papers)Mathematical functions and polynomials (16 papers)
- Cited by
- Numerical AnalysisStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesHong KongChina
In The Last Decade
Fred J. Hickernell
76 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Numerical Analysis 1.0k
- Computational Theory and Mathematics 653
- Statistics, Probability and Uncertainty 582
- Management Science and Operations Research 510
- Computational Mechanics 359
Countries citing papers authored by Fred J. Hickernell
This map shows the geographic impact of Fred J. Hickernell'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 Fred J. Hickernell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred J. Hickernell more than expected).
Fields of papers citing papers by Fred J. Hickernell
This network shows the impact of papers produced by Fred J. Hickernell. 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 Fred J. Hickernell. The network helps show where Fred J. Hickernell may publish in the future.
Co-authorship network of co-authors of Fred J. Hickernell
This figure shows the co-authorship network connecting the top 25 collaborators of Fred J. Hickernell. A scholar is included among the top collaborators of Fred J. Hickernell 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 Fred J. Hickernell. Fred J. Hickernell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 30 | |
| 5 | OPTIMALITY CRITERIA FOR MULTIRESPONSE LINEAR MODELS BASED ON PREDICTIVE ELLIPSOIDS | 10 |
| 6 | 38 | |
| 7 | 27 | |
| 8 | 1 | |
| 9 | 28 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 40 | |
| 13 | 10 | |
| 14 | 25 | |
| 15 | 28 | |
| 16 | 8 | |
| 17 | 13 | |
| 18 | A generalized discrepancy and quadrature error boundbreakdown → | 489 |
| 19 | 5 | |
| 20 | The Use of Microcomputers in the Teaching of Calculus. | 5 |
About Fred J. Hickernell
Fred J. Hickernell is a scholar working on Numerical Analysis, Applied Mathematics and Statistics, Probability and Uncertainty, having authored 78 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (46 papers), Probabilistic and Robust Engineering Design (16 papers) and Mathematical functions and polynomials (16 papers). The work is most often cited by research in Numerical Analysis (1.0k citations), Statistics, Probability and Uncertainty (582 citations) and Management Science and Operations Research (510 citations). Fred J. Hickernell has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Rong‐Xian Yue, Y. C. Yortsos, H. Woźniakowski, Min‐Qian Liu, Christiane Lemieux, Henryk Woźniakowski, Kai‐Tai Fang, Harald Niederreiter, Xiaoqun Wang and Gregory E. Fasshauer. Their work appears in journals such as Journal of Fluid Mechanics, The Journal of Physical Chemistry 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.