Steven Dargaville
- Electrical and Electronic Engineering
- Automotive Engineering top 10%
- Computational Mechanics top 10%
- Statistical and Nonlinear Physics top 10%
- Aerospace Engineering
- Co-authors
- Troy FarrellChristopher C. PainA.G. BuchanPaul N. SmithR.P. Smedley‐StevensonF. FangI. M. NavonMatthew D. Piggott
- Topics
- Advanced Numerical Methods in Computational Mathematics (12 papers)Advanced Mathematical Modeling in Engineering (6 papers)Model Reduction and Neural Networks (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of The Electrochemical SocietyJournal of Computational Physics
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Steven Dargaville
19 papers receiving 329 citations
Peers
Comparison fields: 5 of 52
- Electrical and Electronic Engineering 151
- Automotive Engineering 110
- Computational Mechanics 108
- Statistical and Nonlinear Physics 83
- Aerospace Engineering 67
Countries citing papers authored by Steven Dargaville
This map shows the geographic impact of Steven Dargaville'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 Steven Dargaville with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Dargaville more than expected).
Fields of papers citing papers by Steven Dargaville
This network shows the impact of papers produced by Steven Dargaville. 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 Steven Dargaville. The network helps show where Steven Dargaville may publish in the future.
Co-authorship network of co-authors of Steven Dargaville
This figure shows the co-authorship network connecting the top 25 collaborators of Steven Dargaville. A scholar is included among the top collaborators of Steven Dargaville 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 Steven Dargaville. Steven Dargaville is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 18 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 72 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | 15 | |
| 17 | 24 | |
| 18 | 31 | |
| 19 | Predicting active material utilisation in LiFePO4 electrodes using a multi-scale mathematical model | 1 |
| 20 | 94 |
About Steven Dargaville
Steven Dargaville is a scholar working on Computational Mechanics, Mathematical Physics and Statistical and Nonlinear Physics, having authored 22 papers that have together received 333 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (12 papers), Advanced Mathematical Modeling in Engineering (6 papers) and Model Reduction and Neural Networks (5 papers). The work is most often cited by research in Automotive Engineering (110 citations), Statistical and Nonlinear Physics (83 citations) and Computational Mechanics (108 citations). Steven Dargaville has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Troy Farrell, Christopher C. Pain, A.G. Buchan, A.G. Buchan, Paul N. Smith, R.P. Smedley‐Stevenson, F. Fang, I. M. Navon, Matthew D. Piggott and Jiansheng Xiang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Journal of Computational Physics.
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.