Steven J. Cox
- Computational Theory and Mathematics top 1%
- Mathematical Physics top 5%
- Control and Systems Engineering top 5%
- Civil and Structural Engineering top 5%
- Mechanics of Materials top 5%
- Co-authors
- David C. DobsonEnrique ZuazuaMichael L. OvertonJoyce R. McLaughlinFabrizio GabbianiRobert LiptonKaramarie FechoCarlos Castro
- Topics
- Advanced Mathematical Modeling in Engineering (15 papers)Neural dynamics and brain function (14 papers)Numerical methods in inverse problems (10 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Steven J. Cox
65 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 139
- Computational Theory and Mathematics 478
- Mathematical Physics 307
- Control and Systems Engineering 273
- Civil and Structural Engineering 246
- Mechanics of Materials 223
Countries citing papers authored by Steven J. Cox
This map shows the geographic impact of Steven J. Cox'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 J. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven J. Cox more than expected).
Fields of papers citing papers by Steven J. Cox
This network shows the impact of papers produced by Steven J. Cox. 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 J. Cox. The network helps show where Steven J. Cox may publish in the future.
Co-authorship network of co-authors of Steven J. Cox
This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Cox. A scholar is included among the top collaborators of Steven J. Cox 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 J. Cox. Steven J. Cox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 12 | |
| 3 | 43 | |
| 4 | 28 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 28 | |
| 10 | 7 | |
| 11 | 17 | |
| 12 | 36 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 17 | |
| 16 | 13 | |
| 17 | 7 | |
| 18 | 4 | |
| 19 | 9 | |
| 20 | 34 |
About Steven J. Cox
Steven J. Cox is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (15 papers), Neural dynamics and brain function (14 papers) and Numerical methods in inverse problems (10 papers). The work is most often cited by research in Mathematical Physics (307 citations), Computational Theory and Mathematics (478 citations) and Numerical Analysis (122 citations). Steven J. Cox has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David C. Dobson, Enrique Zuazua, Michael L. Overton, Joyce R. McLaughlin, Fabrizio Gabbiani, Robert Lipton, Karamarie Fecho, Carlos Castro, George N. Bennett and Boyce E. Griffith. Their work appears in journals such as Journal of Neuroscience, Bioinformatics 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.