Craig Michoski
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 10%
- Nuclear and High Energy Physics
- Numerical Analysis top 10%
- Astronomy and Astrophysics
- Co-authors
- Clint DawsonEthan J. KubatkoJoannes J. WesterinkD. R. HatchMiloš MilosavljevićTodd OliverDamrongsak WirasaetDongyang Kuang
- Topics
- Computational Fluid Dynamics and Aerodynamics (16 papers)Advanced Numerical Methods in Computational Mathematics (13 papers)Magnetic confinement fusion research (6 papers)
- Journals
- Journal of Computational PhysicsComputer Methods in Applied Mechanics and EngineeringNeurocomputing
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Craig Michoski
30 papers receiving 398 citations
Peers
Comparison fields: 5 of 65
- Computational Mechanics 211
- Statistical and Nonlinear Physics 71
- Nuclear and High Energy Physics 70
- Numerical Analysis 45
- Astronomy and Astrophysics 45
Countries citing papers authored by Craig Michoski
This map shows the geographic impact of Craig Michoski'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 Craig Michoski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig Michoski more than expected).
Fields of papers citing papers by Craig Michoski
This network shows the impact of papers produced by Craig Michoski. 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 Craig Michoski. The network helps show where Craig Michoski may publish in the future.
Co-authorship network of co-authors of Craig Michoski
This figure shows the co-authorship network connecting the top 25 collaborators of Craig Michoski. A scholar is included among the top collaborators of Craig Michoski 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 Craig Michoski. Craig Michoski 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 | 4 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 2 | |
| 8 | 70 | |
| 9 | 2 | |
| 10 | 38 | |
| 11 | Quantifying and Propagating Uncertainties to Enhance Real-time Disruption Prediction with Machine Learning | 1 |
| 12 | 9 | |
| 13 | 15 | |
| 14 | 14 | |
| 15 | 14 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 62 | |
| 19 | 11 | |
| 20 | 9 |
About Craig Michoski
Craig Michoski is a scholar working on Computational Mechanics, Numerical Analysis and Nuclear and High Energy Physics, having authored 31 papers that have together received 409 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (16 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Magnetic confinement fusion research (6 papers). The work is most often cited by research in Computational Mechanics (211 citations), Numerical Analysis (45 citations) and Statistical and Nonlinear Physics (71 citations). Craig Michoski has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Clint Dawson, Ethan J. Kubatko, Joannes J. Westerink, D. R. Hatch, Miloš Milosavljević, Todd Oliver, Damrongsak Wirasaet, Dongyang Kuang, John A. Evans and Corey J. Trahan. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Neurocomputing.
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.