![]() | Up a level |
This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Ali, N., Viggiano, B., Tutkun, M., & Cal, R. B. (2021). Data-driven machine learning for accurate prediction and statistical quantification of two phase flow regimes. Journal of Petroleum Science and Engineering, 202, 108488. External link
Ali, N., Viggiano, B., Tutkun, M., & Cal, R. B. (2021). Forecasting the evolution of chaotic dynamics of two-phase slug flow regime. Journal of Petroleum Science and Engineering, 205, 108904. External link
Ali, N., Viggiano, B., Tutkun, M., & Cal, R. B. (2020). Cluster-based reduced-order descriptions of two phase flows. Chemical Engineering Science, 222, 115660. External link
Barois, T., Viggiano, B., Basset, T., Cal, R. B., Volk, R., Gibert, M., & Bourgoin, M. (2023). Compensation of seeding bias for particle tracking velocimetry in turbulent flows. Physical Review Fluids, 8(7), 074603. External link
Basset, T., Viggiano, B., Barois, T., Gibert, M., Mordant, N., Cal, R. B., Volk, R., & Bourgoin, M. (2022). Entrainment, diffusion and effective compressibility in a self-similar turbulent jet. Journal of Fluid Mechanics, 947, A29 (30 pages). Available
Friedrich, J., Viggiano, B., Bourgoin, M., Cal, R. B., & Chevillard, L. (2022). Single inertial particle statistics in turbulent flows from Lagrangian velocity models. Physical Review Fluids, 7(1), 014303. External link
Hamilton, N., Viggiano, B., Calaf, M., Tutkun, M., & Cal, R. B. (2018). A generalized framework for reduced-order modeling of a wind turbine wake. Wind Energy, 21(6), 373-390. External link
Kadum, H., Rockel, S., Viggiano, B., Dib, T., Hölling, M., Chevillard, L., & Cal, R. B. (2021). Assessing intermittency characteristics via cumulant analysis of floating wind turbines wakes. Journal of Renewable and Sustainable Energy, 13(1), 013302. External link
Smith, S. E., Viggiano, B., Ali, N., Silverman, T. J., Obligado, M., Calaf, M., & Cal, R. B. (2022). Increased panel height enhances cooling for photovoltaic solar farms. Applied Energy, 325, 119819. External link
Scott, R., Viggiano, B., Dib, T., Ali, N., Hölling, M., Peinke, J., & Cal, R. B. (2020). Wind turbine partial wake merging description and quantification. Wind Energy, 23(7), 1610-1618. External link
Viggiano, B., Gish, K., Solovitz, S. A., & Cal, R. B. (2024). Inertial particle clustering due to turbulence in an air jet. International Journal of Multiphase Flow, 174, 104734 (12 pages). Available
Viggiano, B., Basset, T., Solovitz, S., Barois, T., Gibert, M., Mordant, N., Chevillard, L., Volk, R., Bourgoin, M., & Cal, R. B. (2021). Lagrangian diffusion properties of a free shear turbulent jet. Journal of Fluid Mechanics, 918, A25. External link
Viggiano, B., Friedrich, J., Volk, R., Bourgoin, M., Cal, R. B., & Chevillard, L. (2020). Modelling Lagrangian velocity and acceleration in turbulent flows as infinitely differentiable stochastic processes. Journal of Fluid Mechanics, 900, A27. External link
Viggiano, B., Tutkun, M., & Cal, R. B. (2019). Hessian-based topology of two-phase slug flow. International Journal of Multiphase Flow, 119, 84-94. External link
Viggiano, B., Skjæraasen, O., Schümann, H., Tutkun, M., & Cal, R. B. (2018). Characterization of flow dynamics and reduced-order description of experimental two-phase pipe flow. International Journal of Multiphase Flow, 105, 91-101. External link
Viggiano, B., Gion, M. S., Ali, N., Tutkun, M., & Cal, R. B. (2016). Inverse structure functions in the canonical wind turbine array boundary layer. Journal of Renewable and Sustainable Energy, 8(5), 053310. External link