Alejandro Güemes
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 5%
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Co-authors
- Stefano DiscettiAndrea IaniroRicardo VinuesaPhilipp SchlatterHossein AzizpourLuca GuastoniCarlos Sanmiguel VilaMarco Raiola
- Topics
- Fluid Dynamics and Turbulent Flows (11 papers)Model Reduction and Neural Networks (7 papers)Fluid Dynamics and Vibration Analysis (4 papers)
In The Last Decade
Alejandro Güemes
13 papers receiving 344 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Computational Mechanics 271
- Statistical and Nonlinear Physics 202
- Aerospace Engineering 99
- Computer Vision and Pattern Recognition 60
- Mechanical Engineering 58
Countries citing papers authored by Alejandro Güemes
This map shows the geographic impact of Alejandro Güemes'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 Alejandro Güemes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Güemes more than expected).
Fields of papers citing papers by Alejandro Güemes
This network shows the impact of papers produced by Alejandro Güemes. 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 Alejandro Güemes. The network helps show where Alejandro Güemes may publish in the future.
Co-authorship network of co-authors of Alejandro Güemes
This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Güemes. A scholar is included among the top collaborators of Alejandro Güemes 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 Alejandro Güemes. Alejandro Güemes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 35 | |
| 7 | Sensing coherent structures from the wall | 102 |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | Convolutional-network models to predict wall-bounded turbulence from wall quantitiesbreakdown → | 144 |
| 12 | 7 | |
| 13 | 38 |
About Alejandro Güemes
Alejandro Güemes is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Environmental Engineering, having authored 13 papers that have together received 363 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (11 papers), Model Reduction and Neural Networks (7 papers) and Fluid Dynamics and Vibration Analysis (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (202 citations), Computational Mechanics (271 citations) and Aerospace Engineering (99 citations). Alejandro Güemes has collaborated with scholars based in Spain, Sweden and Germany. Frequent co-authors include Stefano Discetti, Andrea Ianiro, Ricardo Vinuesa, Philipp Schlatter, Hossein Azizpour, Luca Guastoni, Carlos Sanmiguel Vila, Marco Raiola, Álvaro Moreno Soto and Óscar Flores. Their work appears in journals such as Journal of Fluid Mechanics, Computer Methods in Applied Mechanics and Engineering and Physics of Fluids.
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.