Y. D. Sobral

740 total citations
34 papers, 587 citations indexed

About

Y. D. Sobral is a scholar working on Computational Mechanics, Biomedical Engineering and Management, Monitoring, Policy and Law. According to data from OpenAlex, Y. D. Sobral has authored 34 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Mechanics, 11 papers in Biomedical Engineering and 8 papers in Management, Monitoring, Policy and Law. Recurrent topics in Y. D. Sobral's work include Granular flow and fluidized beds (22 papers), Characterization and Applications of Magnetic Nanoparticles (10 papers) and Lattice Boltzmann Simulation Studies (9 papers). Y. D. Sobral is often cited by papers focused on Granular flow and fluidized beds (22 papers), Characterization and Applications of Magnetic Nanoparticles (10 papers) and Lattice Boltzmann Simulation Studies (9 papers). Y. D. Sobral collaborates with scholars based in Brazil, Hong Kong and China. Y. D. Sobral's co-authors include C. Y. Kwok, Lü Jing, Gengchao Yang, Yat Fai Leung, Francisco Ricardo Cunha, Taygoara Oliveira, Ricardo Oyarzúa, Gabriel N. Gatica, Ricardo Ruíz-Baier and E. J. Hinch and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Fluid Mechanics.

In The Last Decade

Y. D. Sobral

30 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. D. Sobral Brazil 12 453 226 122 103 88 34 587
Yi Fan United States 17 675 1.5× 395 1.7× 278 2.3× 191 1.9× 45 0.5× 31 803
Ashish V. Orpe India 15 685 1.5× 334 1.5× 251 2.1× 125 1.2× 44 0.5× 22 780
Gengchao Yang Hong Kong 10 299 0.7× 152 0.7× 79 0.6× 48 0.5× 32 0.4× 22 363
R. Forster United Kingdom 9 531 1.2× 111 0.5× 180 1.5× 47 0.5× 60 0.7× 10 636
Fu-Ling Yang Taiwan 10 263 0.6× 109 0.5× 139 1.1× 51 0.5× 52 0.6× 31 342
Gaël Épely-Chauvin Switzerland 9 364 0.8× 193 0.9× 124 1.0× 118 1.1× 60 0.7× 9 535
Fabio Gabrieli Italy 12 215 0.5× 264 1.2× 45 0.4× 204 2.0× 15 0.2× 43 465
Gustavo G. Joseph United States 8 536 1.2× 44 0.2× 365 3.0× 30 0.3× 59 0.7× 10 650
Daisuke Nishiura Japan 12 229 0.5× 76 0.3× 39 0.3× 115 1.1× 8 0.1× 49 424
Mickaël Pailha France 9 276 0.6× 218 1.0× 53 0.4× 83 0.8× 30 0.3× 18 451

Countries citing papers authored by Y. D. Sobral

Since Specialization
Citations

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

Fields of papers citing papers by Y. D. Sobral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. D. Sobral

This figure shows the co-authorship network connecting the top 25 collaborators of Y. D. Sobral. A scholar is included among the top collaborators of Y. D. Sobral 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 Y. D. Sobral. Y. D. Sobral 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.
Caucao, Sergio, et al.. (2025). A posteriori error analysis of mixed finite element methods for a regularized μ ( I ) -rheology model of granular materials. Journal of Computational Physics. 542. 114378–114378.
2.
Wang, Teng, Lü Jing, C. Y. Kwok, et al.. (2025). Basal layer of granular flow down smooth and rough inclines: kinematics, slip laws and rheology. Journal of Fluid Mechanics. 1025.
3.
Cunha, Francisco Ricardo, et al.. (2024). Steady state regimes in lid driven cavity flows of magnetic fluids in the presence of an external magnetic field. Journal of Magnetism and Magnetic Materials. 609. 172411–172411.
4.
Caucao, Sergio, et al.. (2024). Nonlinear twofold saddle point-based mixed finite element methods for a regularized μ(I)-rheology model of granular materials. Journal of Computational Physics. 520. 113462–113462. 2 indexed citations
5.
Sobral, Y. D., et al.. (2024). Analysis of the leapfrog-Verlet method applied to the Kuwabara-Kono force model in discrete element method simulations of granular materials. Advances in Computational Mathematics. 50(4). 1 indexed citations
6.
Yamamoto, Ken, M. Katsura, S. Dorbolo, et al.. (2023). Disordering two-dimensional magnet-particle configurations using bidispersity. The Journal of Chemical Physics. 158(21). 1 indexed citations
7.
Yang, Gengchao, et al.. (2023). Frictional boundary condition for lattice Boltzmann modelling of dense granular flows. Journal of Fluid Mechanics. 973. 3 indexed citations
8.
Cunha, Francisco Ricardo, et al.. (2022). Stability of plane-parallel flow of magnetic fluids under external magnetic fields. Applied Mathematics and Mechanics. 43(2). 295–310. 4 indexed citations
9.
Maia, Liliane A., et al.. (2021). Mini-max algorithm via Pohozaev manifold. Nonlinearity. 34(1). 642–668.
10.
Gatica, Gabriel N., Ricardo Oyarzúa, Ricardo Ruíz-Baier, & Y. D. Sobral. (2021). Banach spaces-based analysis of a fully-mixed finite element method for the steady-state model of fluidized beds. Computers & Mathematics with Applications. 84. 244–276. 18 indexed citations
11.
Jing, Lü, Gengchao Yang, C. Y. Kwok, & Y. D. Sobral. (2019). Flow regimes and dynamic similarity of immersed granular collapse: A CFD-DEM investigation. Powder Technology. 345. 532–543. 60 indexed citations
12.
Yang, Gengchao, Lü Jing, C. Y. Kwok, & Y. D. Sobral. (2019). Pore‐Scale Simulation of Immersed Granular Collapse: Implications to Submarine Landslides. Journal of Geophysical Research Earth Surface. 125(1). 43 indexed citations
13.
Yang, Gengchao, C. Y. Kwok, & Y. D. Sobral. (2018). The effects of bed form roughness on total suspended load via the Lattice Boltzmann Method. Applied Mathematical Modelling. 63. 591–610. 7 indexed citations
14.
Yang, Gengchao, Chung Yee Kwok, & Y. D. Sobral. (2017). The role of fluid viscosity in an immersed granular collapse. SHILAP Revista de lepidopterología. 140. 9037–9037. 3 indexed citations
15.
Jing, Lü, C. Y. Kwok, Yat Fai Leung, & Y. D. Sobral. (2017). Effect of geometric base roughness on size segregation. SHILAP Revista de lepidopterología. 140. 3056–3056. 4 indexed citations
16.
Jing, Lü, C. Y. Kwok, Yat Fai Leung, & Y. D. Sobral. (2016). Characterization of base roughness for granular chute flows. Physical review. E. 94(5). 52901–52901. 43 indexed citations
17.
Jing, Lü, C. Y. Kwok, Yat Fai Leung, & Y. D. Sobral. (2015). Extended CFD–DEM for free‐surface flow with multi‐size granules. International Journal for Numerical and Analytical Methods in Geomechanics. 40(1). 62–79. 139 indexed citations
18.
Cunha, Francisco Ricardo, et al.. (2013). Stabilization of concentration waves in fluidized beds of magnetic particles. Powder Technology. 241. 219–229. 9 indexed citations
19.
Sobral, Y. D. & E. J. Hinch. (2011). Gravitational Overturning in Stratified Particulate Flows. SIAM Journal on Applied Mathematics. 71(6). 2151–2167. 2 indexed citations
20.
Sobral, Y. D., Taygoara Oliveira, & Francisco Ricardo Cunha. (2007). On the unsteady forces during the motion of a sedimenting particle. Powder Technology. 178(2). 129–141. 25 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026