Richard P. Dwight
- Computational Mechanics top 0.5%
- Statistical and Nonlinear Physics top 1%
- Aerospace Engineering top 2%
- Statistics, Probability and Uncertainty top 0.5%
- Environmental Engineering top 5%
- Co-authors
- Paola CinnellaJoël BrézillonJacques PeterWouter EdelingH. BijlMikael KaandorpZhonghua HanFulvio Scarano
- Topics
- Computational Fluid Dynamics and Aerodynamics (25 papers)Fluid Dynamics and Turbulent Flows (23 papers)Probabilistic and Robust Engineering Design (20 papers)
- Cited by
- Computational MechanicsStatistics, Probability and UncertaintyStatistical and Nonlinear Physics
- Partner nations
- NetherlandsGermanyFrance
In The Last Decade
Richard P. Dwight
64 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 72
- Computational Mechanics 1.2k
- Statistical and Nonlinear Physics 517
- Aerospace Engineering 472
- Statistics, Probability and Uncertainty 391
- Environmental Engineering 302
Countries citing papers authored by Richard P. Dwight
This map shows the geographic impact of Richard P. Dwight'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 Richard P. Dwight with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard P. Dwight more than expected).
Fields of papers citing papers by Richard P. Dwight
This network shows the impact of papers produced by Richard P. Dwight. 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 Richard P. Dwight. The network helps show where Richard P. Dwight may publish in the future.
Co-authorship network of co-authors of Richard P. Dwight
This figure shows the co-authorship network connecting the top 25 collaborators of Richard P. Dwight. A scholar is included among the top collaborators of Richard P. Dwight 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 Richard P. Dwight. Richard P. Dwight 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 | 2 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | Machine Learning of Algebraic Stress Models using Deterministic Symbolic Regression | 4 |
| 7 | 168 | |
| 8 | 42 | |
| 9 | 10 | |
| 10 | 9 | |
| 11 | 39 | |
| 12 | 13 | |
| 13 | 88 | |
| 14 | Vortex-in-Cell method for time-supersampling of PIV data | 2 |
| 15 | 164 | |
| 16 | 16 | |
| 17 | 27 | |
| 18 | 8 | |
| 19 | 20 | |
| 20 | 101 |
About Richard P. Dwight
Richard P. Dwight is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics and Statistical and Nonlinear Physics, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (25 papers), Fluid Dynamics and Turbulent Flows (23 papers) and Probabilistic and Robust Engineering Design (20 papers). The work is most often cited by research in Computational Mechanics (1.2k citations), Statistics, Probability and Uncertainty (391 citations) and Statistical and Nonlinear Physics (517 citations). Richard P. Dwight has collaborated with scholars based in Netherlands, Germany and France. Frequent co-authors include Paola Cinnella, Joël Brézillon, Jacques Peter, Wouter Edeling, H. Bijl, Mikael Kaandorp, Zhonghua Han, Fulvio Scarano, Andrea Sciacchitano and B.W. van Oudheusden. Their work appears in journals such as Journal of Computational Physics, AIAA Journal and Computers & Geosciences.
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.