Malú Grave

418 total citations
14 papers, 94 citations indexed

About

Malú Grave is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Malú Grave has authored 14 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Modeling and Simulation, 4 papers in Statistical and Nonlinear Physics and 4 papers in Computational Mechanics. Recurrent topics in Malú Grave's work include COVID-19 epidemiological studies (4 papers), Model Reduction and Neural Networks (4 papers) and Lattice Boltzmann Simulation Studies (3 papers). Malú Grave is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Model Reduction and Neural Networks (4 papers) and Lattice Boltzmann Simulation Studies (3 papers). Malú Grave collaborates with scholars based in Brazil, Italy and United States. Malú Grave's co-authors include Álvaro L. G. A. Coutinho, Alex Viguerie, Alessandro Reali, Roberto F. S. Andrade, Guillermo Lorenzo, José Manuel Mendes, Maria Yuri Ichihara, Pablo Ivan Pereira Ramos, Américo Cunha and Viviane Boaventura and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, BMC Medical Research Methodology and Journal of Biomechanical Engineering.

In The Last Decade

Malú Grave

13 papers receiving 93 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malú Grave Brazil 6 33 25 25 16 9 14 94
Mounirah Areshi Saudi Arabia 10 81 2.5× 88 3.5× 136 5.4× 6 0.4× 10 1.1× 34 295
Stanislav Harizanov Bulgaria 8 55 1.7× 8 0.3× 43 1.7× 5 0.6× 20 181
Talitha Washington United States 7 14 0.4× 11 0.4× 74 3.0× 1 0.1× 55 6.1× 14 133
Justin Dong United States 4 25 0.8× 32 1.3× 1 0.0× 4 0.3× 6 46
Chaobao Huang China 14 44 1.3× 21 0.8× 483 19.3× 6 0.7× 36 527
Sajid Iqbal Pakistan 10 45 1.4× 14 0.6× 103 4.1× 2 0.2× 47 285
Baisheng Yan United States 8 22 0.7× 5 0.2× 5 0.2× 1 0.1× 1 0.1× 38 266
Komla Domelevo France 8 223 6.8× 1 0.0× 7 0.3× 22 1.4× 5 0.6× 21 285
A. H. Mahmood Pakistan 5 56 1.7× 4 0.2× 36 1.4× 15 110
Bhupen Deka India 11 263 8.0× 4 0.2× 8 0.3× 20 2.2× 48 322

Countries citing papers authored by Malú Grave

Since Specialization
Citations

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

Fields of papers citing papers by Malú Grave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malú Grave. 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 Malú Grave. The network helps show where Malú Grave may publish in the future.

Co-authorship network of co-authors of Malú Grave

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

All Works

14 of 14 papers shown
1.
Cerqueira‐Silva, Thiago, Malú Grave, Luiz Landau, et al.. (2025). Combining machine learning and dynamic system techniques to early detection of respiratory outbreaks in routinely collected primary healthcare records. BMC Medical Research Methodology. 25(1). 99–99. 2 indexed citations
2.
Grave, Malú, et al.. (2024). A PINN-based level-set formulation for reconstruction of bubble dynamics. Archive of Applied Mechanics. 94(9). 2667–2682. 3 indexed citations
3.
Grave, Malú, et al.. (2024). An analytical model for injectivity tests in multilayered reservoir with formation crossflow. GEM - International Journal on Geomathematics. 15(1).
4.
Grave, Malú, et al.. (2024). A mass conservative INSIM-FT-3D physics-based data-driven oil-water reservoir simulator. Geoenergy Science and Engineering. 241. 213102–213102. 2 indexed citations
5.
Grave, Malú, et al.. (2023). Enhancing dynamic mode decomposition workflow with in situ visualization and data compression. Engineering With Computers. 40(1). 455–476. 3 indexed citations
6.
Grave, Malú, Eber Dantas, Michel Tosin, et al.. (2022). EPIDEMIC: Epidemiology Educational Code. 5(50). 149–149. 5 indexed citations
7.
Grave, Malú, et al.. (2022). Modeling nonlocal behavior in epidemics via a reaction–diffusion system incorporating population movement along a network. Computer Methods in Applied Mechanics and Engineering. 401. 115541–115541. 10 indexed citations
8.
Boaventura, Viviane, Malú Grave, Thiago Cerqueira‐Silva, et al.. (2022). Syndromic Surveillance Using Structured Telehealth Data: Case Study of the First Wave of COVID-19 in Brazil. JMIR Public Health and Surveillance. 9. e40036–e40036. 1 indexed citations
9.
Viguerie, Alex, et al.. (2022). Data-Driven Simulation of Fisher–Kolmogorov Tumor Growth Models Using Dynamic Mode Decomposition. Journal of Biomechanical Engineering. 144(12). 9 indexed citations
10.
Viguerie, Alex, et al.. (2022). Coupled and uncoupled dynamic mode decomposition in multi-compartmental systems with applications to epidemiological and additive manufacturing problems. Computer Methods in Applied Mechanics and Engineering. 391. 114600–114600. 23 indexed citations
11.
Grave, Malú & Álvaro L. G. A. Coutinho. (2022). Comparing the convected level-set and the Allen–Cahn phase-field methods in AMR/C simulations of two-phase flows. Computers & Fluids. 244. 105569–105569. 9 indexed citations
12.
13.
Grave, Malú, et al.. (2020). A new convected level-set method for gas bubble dynamics. Computers & Fluids. 209. 104667–104667. 22 indexed citations
14.
Grave, Malú, et al.. (2019). Residual-based variational multiscale 2D simulation of sediment transport with morphological changes. Computers & Fluids. 196. 104312–104312. 2 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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