Rupert W. Nash
- Condensed Matter Physics top 5%
- Computational Mechanics top 5%
- Biomedical Engineering
- Molecular Biology
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Michael E. CatesR. AdhikariPeter V. CoveneyMiguel O. BernabéuJames HetheringtonDerek GroenJulien TailleurTimm Krüger
- Topics
- Lattice Boltzmann Simulation Studies (10 papers)Generative Adversarial Networks and Image Synthesis (4 papers)Blood properties and coagulation (3 papers)
- Journals
- Physical Review LettersBiophysical JournalPhysica A Statistical Mechanics and its Applications
- Partner nations
- United KingdomIndiaGermany
In The Last Decade
Rupert W. Nash
13 papers receiving 470 citations
Peers
Comparison fields: 5 of 74
- Condensed Matter Physics 178
- Computational Mechanics 166
- Biomedical Engineering 161
- Molecular Biology 64
- Statistical and Nonlinear Physics 55
Countries citing papers authored by Rupert W. Nash
This map shows the geographic impact of Rupert W. Nash'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 Rupert W. Nash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupert W. Nash more than expected).
Fields of papers citing papers by Rupert W. Nash
This network shows the impact of papers produced by Rupert W. Nash. 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 Rupert W. Nash. The network helps show where Rupert W. Nash may publish in the future.
Co-authorship network of co-authors of Rupert W. Nash
This figure shows the co-authorship network connecting the top 25 collaborators of Rupert W. Nash. A scholar is included among the top collaborators of Rupert W. Nash 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 Rupert W. Nash. Rupert W. Nash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 18 | |
| 3 | 25 | |
| 4 | 61 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 47 | |
| 8 | 76 | |
| 9 | Analysing and Modelling the Performance of the HemeLB Lattice-Boltzmann Simulation Environment | 43 |
| 10 | 44 | |
| 11 | Choice of boundary condition and collision operator for lattice-Boltzmann simulation of moderate Reynolds number flow in complex domains | 2 |
| 12 | 5 | |
| 13 | 105 | |
| 14 | 43 | |
| 15 | 7 |
About Rupert W. Nash
Rupert W. Nash is a scholar working on Computational Mechanics, Condensed Matter Physics and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 477 indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (10 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Blood properties and coagulation (3 papers). The work is most often cited by research in Condensed Matter Physics (178 citations), Computational Mechanics (166 citations) and Statistical and Nonlinear Physics (55 citations). Rupert W. Nash has collaborated with scholars based in United Kingdom, India and Germany. Frequent co-authors include Michael E. Cates, R. Adhikari, Peter V. Coveney, Miguel O. Bernabéu, James Hetherington, Derek Groen, Julien Tailleur, Timm Krüger, Joakim Stenhammar and Davide Marenduzzo. Their work appears in journals such as Physical Review Letters, Biophysical Journal and Physica A Statistical Mechanics and its Applications.
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.