Ewe-Wei Saw

484 total citations
13 papers, 302 citations indexed

About

Ewe-Wei Saw is a scholar working on Computational Mechanics, Ocean Engineering and Earth-Surface Processes. According to data from OpenAlex, Ewe-Wei Saw has authored 13 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 8 papers in Ocean Engineering and 6 papers in Earth-Surface Processes. Recurrent topics in Ewe-Wei Saw's work include Fluid Dynamics and Turbulent Flows (9 papers), Particle Dynamics in Fluid Flows (8 papers) and Aeolian processes and effects (6 papers). Ewe-Wei Saw is often cited by papers focused on Fluid Dynamics and Turbulent Flows (9 papers), Particle Dynamics in Fluid Flows (8 papers) and Aeolian processes and effects (6 papers). Ewe-Wei Saw collaborates with scholars based in France, United States and Germany. Ewe-Wei Saw's co-authors include Raymond A. Shaw, Lance R. Collins, Juan P. L. C. Salazar, F. Daviaud, B. Dubrulle, Eberhard Bodenschatz, Jérémie Bec, Davide Faranda, P. Y. Chuang and W. D. Bachalo and has published in prestigious journals such as Nature Communications, Journal of Fluid Mechanics and Atmospheric chemistry and physics.

In The Last Decade

Ewe-Wei Saw

12 papers receiving 297 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ewe-Wei Saw France 10 166 165 125 92 58 13 302
Ewe Wei Saw United States 6 174 1.0× 245 1.5× 170 1.4× 138 1.5× 70 1.2× 6 381
Aurore Naso France 14 361 2.2× 248 1.5× 93 0.7× 69 0.8× 36 0.6× 34 478
Keigo Matsuda Japan 11 150 0.9× 134 0.8× 86 0.7× 67 0.7× 67 1.2× 33 310
Kelken Chang United States 8 161 1.0× 144 0.9× 131 1.0× 228 2.5× 155 2.7× 17 416
Mathieu Gibert France 12 273 1.6× 105 0.6× 23 0.2× 97 1.1× 27 0.5× 19 364
Artur Palha Netherlands 9 193 1.2× 92 0.6× 63 0.5× 12 0.1× 33 0.6× 21 312
J. C. R. Hunt United Kingdom 3 218 1.3× 120 0.7× 33 0.3× 36 0.4× 35 0.6× 5 298
Erwin P. van der Poel Netherlands 9 408 2.5× 49 0.3× 22 0.2× 195 2.1× 78 1.3× 10 483
F. Belin France 6 194 1.2× 50 0.3× 13 0.1× 112 1.2× 29 0.5× 8 252
Marta Wacławczyk Poland 11 220 1.3× 70 0.4× 11 0.1× 62 0.7× 52 0.9× 39 301

Countries citing papers authored by Ewe-Wei Saw

Since Specialization
Citations

This map shows the geographic impact of Ewe-Wei Saw'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 Ewe-Wei Saw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewe-Wei Saw more than expected).

Fields of papers citing papers by Ewe-Wei Saw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ewe-Wei Saw. 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 Ewe-Wei Saw. The network helps show where Ewe-Wei Saw may publish in the future.

Co-authorship network of co-authors of Ewe-Wei Saw

This figure shows the co-authorship network connecting the top 25 collaborators of Ewe-Wei Saw. A scholar is included among the top collaborators of Ewe-Wei Saw 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 Ewe-Wei Saw. Ewe-Wei Saw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
3.
Saw, Ewe-Wei, et al.. (2022). Intricate relations among particle collision, relative motion and clustering in turbulent clouds: computational observation and theory. Atmospheric chemistry and physics. 22(6). 3779–3788. 4 indexed citations
4.
Faranda, Davide, et al.. (2018). Dissipation, intermittency, and singularities in incompressible turbulent flows. Physical review. E. 97(5). 53101–53101. 14 indexed citations
5.
Saw, Ewe-Wei, F. Daviaud, B. Dubrulle, et al.. (2018). Experimental test of the crossover between the inertial and the dissipative range in a turbulent swirling flow. Physical Review Fluids. 3(2). 18 indexed citations
6.
Saw, Ewe-Wei, et al.. (2018). On the universality of anomalous scaling exponents of structure functions in turbulent flows. Journal of Fluid Mechanics. 837. 657–669. 21 indexed citations
7.
Saw, Ewe-Wei, et al.. (2017). New method for detecting singularities in experimental incompressible flows. LillOA (Université de Lille (University Of Lille)). 10 indexed citations
8.
Saw, Ewe-Wei, et al.. (2016). Experimental characterization of extreme events of inertial dissipation in a turbulent swirling flow. Nature Communications. 7(1). 12466–12466. 42 indexed citations
9.
Saw, Ewe-Wei, et al.. (2015). Turbulence attenuation by large neutrally buoyant particles. Physics of Fluids. 27(6). 20 indexed citations
10.
Saw, Ewe-Wei, Gregory P. Bewley, Eberhard Bodenschatz, Samriddhi Sankar Ray, & Jérémie Bec. (2014). Extreme fluctuations of the relative velocities between droplets in turbulent airflow. Physics of Fluids. 26(11). 28 indexed citations
11.
Saw, Ewe-Wei, Juan P. L. C. Salazar, Lance R. Collins, & Raymond A. Shaw. (2012). Spatial clustering of polydisperse inertial particles in turbulence: I. Comparing simulation with theory. New Journal of Physics. 14(10). 105030–105030. 33 indexed citations
12.
Saw, Ewe-Wei, Raymond A. Shaw, Juan P. L. C. Salazar, & Lance R. Collins. (2012). Spatial clustering of polydisperse inertial particles in turbulence: II. Comparing simulation with experiment. New Journal of Physics. 14(10). 105031–105031. 50 indexed citations
13.
Chuang, P. Y., et al.. (2008). Airborne Phase Doppler Interferometry for Cloud Microphysical Measurements. Aerosol Science and Technology. 42(8). 685–703. 59 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.

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