David Evans
Impact in
- Numerical Analysis top 5%
- Modeling and Simulation top 2%
Papers in
-
- Superconducting Materials and Applications 67
- Co-authors
- Z. Q. Zhu (10 shared papers)Zhongze Wu (5 shared papers)Luca A. Ramenghi (1 shared paper)Malcolm Levene (1 shared paper)K. R. Raslan (1 shared paper)G. Hartwig (2 shared papers)E Adám (1 shared paper)Hoda M. Malaty (1 shared paper)
- Journals
- IEEE Transactions on Applied Superconductivity (11 papers)Cryogenics (10 papers)IEEE Transactions on Magnetics (4 papers)International Journal of Computer Mathematics (31 papers)Fusion Engineering and Design (3 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
David Evans
202 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 141
- Numerical Analysis 210
- Modeling and Simulation 143
- Control and Systems Engineering 480
- Condensed Matter Physics 208
- Electronic, Optical and Magnetic Materials 297
Countries citing papers authored by David Evans
This map shows the geographic impact of David Evans'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 Evans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Evans more than expected).
Fields of papers citing papers by David Evans
This network shows the impact of papers produced by David Evans. 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 Evans. The network helps show where David Evans may publish in the future.
Co-authors
The 25 scholars most cited alongside David Evans, 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 220 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 155 | |
| 2 | 1999 | 144 | |
| 3 | 2014 | 136 | |
| 4 | 2008 | 93 | |
| 5 | 1982 | 85 | |
| 6 | 2005 | 84 | |
| 7 | 2014 | 83 | |
| 8 | 2014 | 82 | |
| 9 | 2011 | 77 | |
| 10 | 2011 | 63 | |
| 11 | 2008 | 60 | |
| 12 | 1986 | 60 | |
| 13 | 2011 | 59 | |
| 14 | 2008 | 51 | |
| 15 | 1965 | 46 | |
| 16 | 1969 | 42 | |
| 17 | 2011 | 41 | |
| 18 | 1996 | 37 | |
| 19 | 2001 | 37 | |
| 20 | 2014 | 36 |
About David Evans
David Evans is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Aerospace Engineering, Materials Chemistry and Computational Theory and Mathematics, having authored 220 papers that have together received 2.7k indexed citations. Recurring topics across this work include Superconducting Materials and Applications (67 papers), Particle accelerators and beam dynamics (30 papers), Matrix Theory and Algorithms (18 papers), Physics of Superconductivity and Magnetism (16 papers), Fusion materials and technologies (16 papers), Numerical methods for differential equations (15 papers), Differential Equations and Numerical Methods (12 papers) and Spacecraft and Cryogenic Technologies (12 papers). The work is most often cited by research in Numerical Analysis (210 citations), Modeling and Simulation (143 citations), Control and Systems Engineering (480 citations), Condensed Matter Physics (208 citations) and Electronic, Optical and Magnetic Materials (297 citations). David Evans has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Z. Q. Zhu, Zhongze Wu, Luca A. Ramenghi, Malcolm Levene, K. R. Raslan, G. Hartwig, E Adám, Hoda M. Malaty, David Y. Graham and Julian Gunn. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Cryogenics, IEEE Transactions on Magnetics, International Journal of Computer Mathematics and Fusion Engineering and Design.
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.