Andrew D. Bragg

1.1k total citations
52 papers, 697 citations indexed

About

Andrew D. Bragg is a scholar working on Computational Mechanics, Ocean Engineering and Earth-Surface Processes. According to data from OpenAlex, Andrew D. Bragg has authored 52 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Mechanics, 33 papers in Ocean Engineering and 17 papers in Earth-Surface Processes. Recurrent topics in Andrew D. Bragg's work include Particle Dynamics in Fluid Flows (33 papers), Fluid Dynamics and Turbulent Flows (30 papers) and Aeolian processes and effects (16 papers). Andrew D. Bragg is often cited by papers focused on Particle Dynamics in Fluid Flows (33 papers), Fluid Dynamics and Turbulent Flows (30 papers) and Aeolian processes and effects (16 papers). Andrew D. Bragg collaborates with scholars based in United States, Germany and United Kingdom. Andrew D. Bragg's co-authors include Lance R. Collins, Peter J. Ireland, Tian Ma, Dirk Lucas, David Swailes, David H. Richter, Hendrik Hessenkemper, Guiquan Wang, R. Skartlien and Michele Iovieno and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Fluid Mechanics.

In The Last Decade

Andrew D. Bragg

45 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew D. Bragg United States 16 524 507 336 85 74 52 697
Ivana Vinkovic France 13 230 0.4× 285 0.6× 126 0.4× 119 1.4× 17 0.2× 30 464
Martín Obligado France 13 210 0.4× 402 0.8× 115 0.3× 203 2.4× 47 0.6× 49 554
Ármann Gylfason United States 10 297 0.6× 354 0.7× 186 0.6× 104 1.2× 20 0.3× 13 437
Irene Mazzitelli Italy 10 268 0.5× 412 0.8× 55 0.2× 99 1.2× 189 2.6× 13 506
Bernardo Figueroa‐Espinoza Mexico 13 105 0.2× 170 0.3× 88 0.3× 39 0.5× 179 2.4× 32 510
Ho‐Joon Lim United States 11 128 0.2× 177 0.3× 164 0.5× 20 0.2× 94 1.3× 28 480
R. I. Leighton United States 12 124 0.2× 404 0.8× 81 0.2× 107 1.3× 19 0.3× 28 554
Albert Gyr Switzerland 14 86 0.2× 487 1.0× 115 0.3× 68 0.8× 94 1.3× 41 766
Yonguk Ryu South Korea 8 77 0.1× 225 0.4× 218 0.6× 20 0.2× 31 0.4× 30 448
Christian Windt Germany 14 711 1.4× 489 1.0× 354 1.1× 33 0.4× 7 0.1× 62 882

Countries citing papers authored by Andrew D. Bragg

Since Specialization
Citations

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

Fields of papers citing papers by Andrew D. Bragg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew D. Bragg. 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 Andrew D. Bragg. The network helps show where Andrew D. Bragg may publish in the future.

Co-authorship network of co-authors of Andrew D. Bragg

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

All Works

20 of 20 papers shown
1.
Ni, Rui, et al.. (2025). Kolmogorov Scaling in Bubble-Induced Turbulence. Physical Review Letters. 134(24). 244001–244001. 4 indexed citations
2.
Hessenkemper, Hendrik, Andrew D. Bragg, Dirk Lucas, & Tian Ma. (2025). Lagrangian tracking reveals competing influences of clustering and turbulence on the rise velocity of bubble swarms. Proceedings of the National Academy of Sciences. 122(48). e2518309122–e2518309122.
3.
Hessenkemper, Hendrik, et al.. (2025). Taylor dispersion of bubble swarms rising in quiescent liquid. Journal of Fluid Mechanics. 1014. 3 indexed citations
4.
Bragg, Andrew D., et al.. (2024). Heterogeneous Land‐Surface Effects on TKE and Cloud Formation: Statistical Insights From LES Cases. Journal of Geophysical Research Atmospheres. 129(12).
5.
Bragg, Andrew D., et al.. (2024). Investigating the parametric dependence of the impact of two-way coupling on inertial particle settling in turbulence. Journal of Fluid Mechanics. 987. 1 indexed citations
6.
Bragg, Andrew D., et al.. (2024). Detailed characterization of extreme clustering at near-contact scales in isotropic turbulence. Journal of Fluid Mechanics. 982. 1 indexed citations
7.
8.
Fu, Matthew, et al.. (2023). Logarithmic scaling of higher-order temperature moments in the atmospheric surface layer. International Journal of Heat and Fluid Flow. 102. 109162–109162. 1 indexed citations
9.
Zhang, Xiaolong, et al.. (2023). Lagrangian model for passive scalar gradients in turbulence. Journal of Fluid Mechanics. 964. 1 indexed citations
10.
Bragg, Andrew D., et al.. (2023). Asymptotic closure model for inertial particle transport in turbulent boundary layers. Physical Review Fluids. 8(1). 2 indexed citations
11.
Ma, Tian, Hendrik Hessenkemper, Dirk Lucas, & Andrew D. Bragg. (2023). Fate of bubble clusters rising in a quiescent liquid. Journal of Fluid Mechanics. 973. 15 indexed citations
12.
Ma, Tian, Hendrik Hessenkemper, Dirk Lucas, & Andrew D. Bragg. (2023). Effects of surfactants on bubble-induced turbulence. Journal of Fluid Mechanics. 970. 13 indexed citations
13.
Bragg, Andrew D., et al.. (2022). Examining Parameterizations of Potential Temperature Variance Across Varied Landscapes for Use in Earth System Models. Journal of Geophysical Research Atmospheres. 127(8). 4 indexed citations
14.
Ma, Tian, Hendrik Hessenkemper, Dirk Lucas, & Andrew D. Bragg. (2022). An experimental study on the multiscale properties of turbulence in bubble-laden flows. Journal of Fluid Mechanics. 936. 23 indexed citations
15.
Bragg, Andrew D., et al.. (2022). How does two-way coupling modify particle settling and the role of multiscale preferential sweeping?. Journal of Fluid Mechanics. 947. 9 indexed citations
16.
Bragg, Andrew D., et al.. (2021). Semi‐Coupling of a Field‐Scale Resolving Land‐Surface Model and WRF‐LES to Investigate the Influence of Land‐Surface Heterogeneity on Cloud Development. Journal of Advances in Modeling Earth Systems. 13(10). 20 indexed citations
17.
Bragg, Andrew D., et al.. (2021). Hydrodynamic interactions and extreme particle clustering in turbulence. Journal of Fluid Mechanics. 933. 14 indexed citations
18.
Bragg, Andrew D., et al.. (2019). Multiscale preferential sweeping of particles settling in turbulence. Journal of Fluid Mechanics. 871. 244–270. 45 indexed citations
19.
Bonetti, Sara, Andrew D. Bragg, & Amilcare Porporato. (2018). On the theory of drainage area for regular and non-regular points. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 474(2211). 20170693–20170693. 31 indexed citations
20.
Ireland, Peter J., Andrew D. Bragg, & Lance R. Collins. (2016). The effect of Reynolds number on inertial particle dynamics in isotropic turbulence. Part 2. Simulations with gravitational effects. Journal of Fluid Mechanics. 796. 659–711. 86 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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