This map shows the geographic impact of Peyman Givi'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 Peyman Givi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peyman Givi more than expected).
This network shows the impact of papers produced by Peyman Givi. 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 Peyman Givi. The network helps show where Peyman Givi may publish in the future.
Co-authorship network of co-authors of Peyman Givi
This figure shows the co-authorship network connecting the top 25 collaborators of Peyman Givi.
A scholar is included among the top collaborators of Peyman Givi 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 Peyman Givi. Peyman Givi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Raissi, Maziar, Hessam Babaee, & Peyman Givi. (2018). Deep Learning of PDF Turbulence Closure. Bulletin of the American Physical Society.2 indexed citations
5.
Givi, Peyman, et al.. (2017). PEVC-FMDF for Large Eddy Simulation of Compressible Turbulent Flows. APS.1 indexed citations
Brazell, Michael, et al.. (2016). DG-FDF solver for large eddy simulation of compressible flows. Bulletin of the American Physical Society.
8.
Givi, Peyman, et al.. (2016). Modeling and simulation of turbulence not at statistical equilibrium. Bulletin of the American Physical Society.1 indexed citations
9.
Givi, Peyman, et al.. (2015). Pressure-Velocity-Scalar Filtered Mass Density Function for Large Eddy Simulation of Compressible Turbulent Flow. Bulletin of the American Physical Society.1 indexed citations
10.
Givi, Peyman, et al.. (2014). A DG-FDF Large Eddy Simulator. Bulletin of the American Physical Society.
Yilmaz, S. Levent, et al.. (2012). Petascale FDF Large Eddy Simulation of Reacting Flows. Bulletin of the American Physical Society.1 indexed citations
Drummond, J. Philip, Paul M. Danehy, Daniel Bivolaru, et al.. (2006). Predicting the Effects of Test Media in Ground-Based Propulsion Testing.6 indexed citations
15.
Givi, Peyman, et al.. (2005). Implementation of the Velocity-Scalar Filtered Mass Density Function for Large Eddy Simulation of Turbulent Reacting Flows. Bulletin of the American Physical Society. 58.1 indexed citations
16.
Givi, Peyman, et al.. (2004). Joint Frequency-Velocity-Scalar Filtered Mass Density Function for Large Eddy Simulation of Turbulent Reacting Flows. APS. 57.2 indexed citations
17.
Drozda, Tomasz G., et al.. (2002). Joint Velocity-Scalar Filtered Density Function for Large Eddy Simulation of Turbulent Flows. APS. 55.1 indexed citations
18.
Gicquel, Laurent, Peyman Givi, Farhad Jaberi, & Stephen B. Pope. (2000). Velocity Filtered Density Function for Large Eddy Simulation of Turbulent Flows. APS Division of Fluid Dynamics Meeting Abstracts. 53.1 indexed citations
19.
Givi, Peyman. (1994). LES, DNS and RANS for the analysis of high-speed turbulent reacting flows. NASA Technical Reports Server (NASA).5 indexed citations
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.