Gregory M. Laskowski
- Computational Mechanics top 1%
- Aerospace Engineering top 1%
- Mechanical Engineering top 5%
- Statistical and Nonlinear Physics top 5%
- Environmental Engineering
- Co-authors
- Jason E. DeesDavid G. BogardGustavo A. LedezmaVittorio MichelassiRichard D. SandbergAnil K. TolpadiJack WeatherittZ.J. Wang
- Topics
- Turbomachinery Performance and Optimization (46 papers)Fluid Dynamics and Turbulent Flows (43 papers)Heat Transfer Mechanisms (39 papers)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Gregory M. Laskowski
68 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 58
- Computational Mechanics 863
- Aerospace Engineering 788
- Mechanical Engineering 624
- Statistical and Nonlinear Physics 108
- Environmental Engineering 46
Countries citing papers authored by Gregory M. Laskowski
This map shows the geographic impact of Gregory M. Laskowski'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 Gregory M. Laskowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory M. Laskowski more than expected).
Fields of papers citing papers by Gregory M. Laskowski
This network shows the impact of papers produced by Gregory M. Laskowski. 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 Gregory M. Laskowski. The network helps show where Gregory M. Laskowski may publish in the future.
Co-authorship network of co-authors of Gregory M. Laskowski
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory M. Laskowski. A scholar is included among the top collaborators of Gregory M. Laskowski 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 Gregory M. Laskowski. Gregory M. Laskowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 21 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 75 | |
| 8 | 94 | |
| 9 | 35 | |
| 10 | 17 | |
| 11 | 15 | |
| 12 | 46 | |
| 13 | 5 | |
| 14 | 25 | |
| 15 | 5 | |
| 16 | 16 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 6 |
About Gregory M. Laskowski
Gregory M. Laskowski is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Turbomachinery Performance and Optimization (46 papers), Fluid Dynamics and Turbulent Flows (43 papers) and Heat Transfer Mechanisms (39 papers). The work is most often cited by research in Computational Mechanics (863 citations), Aerospace Engineering (788 citations) and Mechanical Engineering (624 citations). Gregory M. Laskowski has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Jason E. Dees, David G. Bogard, Gustavo A. Ledezma, Vittorio Michelassi, Richard D. Sandberg, Anil K. Tolpadi, Jack Weatheritt, Z.J. Wang, Jayanta Kapat and Rathakrishnan Bhaskaran. Their work appears in journals such as AIAA Journal, Physics of Fluids and International Journal of Heat and Fluid Flow.
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.