Peter Nash
- Computational Theory and Mathematics top 5%
- Numerical Analysis top 5%
- Management Science and Operations Research top 5%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Co-authors
- Edward AndersonGautam AppaBo SundmanRichard WeberVictor V. KrylovSteven StewartE.P. BowyerGang Zhou
- Topics
- Scheduling and Optimization Algorithms (2 papers)Acoustic Wave Phenomena Research (1 paper)Transportation and Mobility Innovations (1 paper)
- Cited by
- Numerical AnalysisManagement Science and Operations ResearchComputational Theory and Mathematics
- Journals
- The Journal of the Acoustical Society of AmericaJournal of the Royal Statistical Society Series B (Statistical Methodology)Journal of the Operational Research Society
- Partner nations
- United KingdomSouth SudanUnited States
In The Last Decade
Peter Nash
9 papers receiving 399 citations
Peers
Comparison fields: 5 of 73
- Computational Theory and Mathematics 136
- Numerical Analysis 116
- Management Science and Operations Research 106
- Control and Systems Engineering 102
- Mechanical Engineering 53
Countries citing papers authored by Peter Nash
This map shows the geographic impact of Peter 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 Peter Nash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Nash more than expected).
Fields of papers citing papers by Peter Nash
This network shows the impact of papers produced by Peter 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 Peter Nash. The network helps show where Peter Nash may publish in the future.
Co-authorship network of co-authors of Peter Nash
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Nash. A scholar is included among the top collaborators of Peter 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 Peter Nash. Peter 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 | 1 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | Applications of Thermodynamics in the Synthesis and Processing of Materials | 59 |
| 5 | 216 | |
| 6 | Linear programming in infinite-dimensional spaces : theory and applications | 120 |
| 7 | 26 | |
| 8 | 2 | |
| 9 | 7 |
About Peter Nash
Peter Nash is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Transportation, having authored 9 papers that have together received 437 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (2 papers), Acoustic Wave Phenomena Research (1 paper) and Transportation and Mobility Innovations (1 paper). The work is most often cited by research in Numerical Analysis (116 citations), Management Science and Operations Research (106 citations) and Computational Theory and Mathematics (136 citations). Peter Nash has collaborated with scholars based in United Kingdom, South Sudan and United States. Frequent co-authors include Edward Anderson, Gautam Appa, Bo Sundman, Richard Weber, Victor V. Krylov, Steven Stewart, E.P. Bowyer, Gang Zhou and Nicholas J. Jones. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of the Operational Research Society.
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.