J. G. Hayes
- Computational Mechanics top 10%
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition
- Mechanical Engineering
- Radiation top 10%
- Co-authors
- J HájekE.J. AllenC. W. ClenshawCharles L. BardesA. B. FarnellC R BarberT.B. RyvesM. P. Orlova
- Topics
- Advanced Numerical Analysis Techniques (3 papers)Advanced Sensor Technologies Research (2 papers)Calibration and Measurement Techniques (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignStatistics, Probability and UncertaintyComputational Mechanics
- Journals
- Journal of the Royal Statistical Society Series B (Statistical Methodology)Academic MedicineAmerican Mathematical Monthly
- Partner nations
- United KingdomRussiaUnited States
In The Last Decade
J. G. Hayes
16 papers receiving 402 citations
Peers
Comparison fields: 5 of 107
- Computational Mechanics 104
- Aerospace Engineering 96
- Computer Vision and Pattern Recognition 56
- Mechanical Engineering 47
- Radiation 41
Countries citing papers authored by J. G. Hayes
This map shows the geographic impact of J. G. Hayes'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 J. G. Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. G. Hayes more than expected).
Fields of papers citing papers by J. G. Hayes
This network shows the impact of papers produced by J. G. Hayes. 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 J. G. Hayes. The network helps show where J. G. Hayes may publish in the future.
Co-authorship network of co-authors of J. G. Hayes
This figure shows the co-authorship network connecting the top 25 collaborators of J. G. Hayes. A scholar is included among the top collaborators of J. G. Hayes 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 J. G. Hayes. J. G. Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | 55 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | NAG algorithms for the approximation of functions and data | 12 |
| 6 | Fitting surfaces to data | 6 |
| 7 | 14 | |
| 8 | 74 | |
| 9 | 75 | |
| 10 | 41 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 27 | |
| 14 | 58 | |
| 15 | 9 | |
| 16 | 7 |
About J. G. Hayes
J. G. Hayes is a scholar working on Radiological and Ultrasound Technology, Computational Mechanics and Management of Technology and Innovation, having authored 16 papers that have together received 457 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (3 papers), Advanced Sensor Technologies Research (2 papers) and Calibration and Measurement Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (28 citations), Statistics, Probability and Uncertainty (38 citations) and Computational Mechanics (104 citations). J. G. Hayes has collaborated with scholars based in United Kingdom, Russia and United States. Frequent co-authors include J Hájek, E.J. Allen, C. W. Clenshaw, Charles L. Bardes, A. B. Farnell, C R Barber, T.B. Ryves, M. P. Orlova, L. Fox and Arthur C. Fox. Their work appears in journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), Academic Medicine and American Mathematical Monthly.
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.