Felipe Pereira

1.3k total citations
66 papers, 887 citations indexed

About

Felipe Pereira is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Environmental Engineering. According to data from OpenAlex, Felipe Pereira has authored 66 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Mechanics, 30 papers in Computational Theory and Mathematics and 24 papers in Environmental Engineering. Recurrent topics in Felipe Pereira's work include Advanced Numerical Methods in Computational Mathematics (35 papers), Advanced Mathematical Modeling in Engineering (30 papers) and Groundwater flow and contamination studies (21 papers). Felipe Pereira is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (35 papers), Advanced Mathematical Modeling in Engineering (30 papers) and Groundwater flow and contamination studies (21 papers). Felipe Pereira collaborates with scholars based in United States, Brazil and Taiwan. Felipe Pereira's co-authors include Jim Douglas, Frederico Furtado, Victor Ginting, Chieh‐Sen Huang, W. Brent Lindquist, James Glimm, Fabrício S. Sousa, Qiang Zhang, Márcio A. Murad and Roberto F. Ausas and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Geophysics.

In The Last Decade

Felipe Pereira

60 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felipe Pereira United States 15 515 335 278 217 171 66 887
Magne S. Espedal Norway 17 490 1.0× 227 0.7× 192 0.7× 152 0.7× 247 1.4× 62 925
Sandra Pieraccini Italy 19 587 1.1× 174 0.5× 373 1.3× 351 1.6× 78 0.5× 44 1.1k
John A. Trangenstein United States 17 735 1.4× 188 0.6× 294 1.1× 147 0.7× 331 1.9× 30 1.3k
Jostein R. Natvig Norway 15 734 1.4× 399 1.2× 197 0.7× 230 1.1× 457 2.7× 37 1.2k
Guanren Huan United States 10 482 0.9× 241 0.7× 219 0.8× 249 1.1× 542 3.2× 17 1.1k
M. F. Wheeler United States 15 640 1.2× 272 0.8× 123 0.4× 238 1.1× 128 0.7× 26 901
S. Scott Collis United States 18 987 1.9× 274 0.8× 139 0.5× 98 0.5× 72 0.4× 40 1.3k
Myron B. Allen United States 18 343 0.7× 107 0.3× 240 0.9× 125 0.6× 190 1.1× 42 834
Stephen L. Lyons United States 13 573 1.1× 167 0.5× 190 0.7× 129 0.6× 208 1.2× 33 815
Victor Ginting United States 19 914 1.8× 748 2.2× 177 0.6× 611 2.8× 129 0.8× 60 1.3k

Countries citing papers authored by Felipe Pereira

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Pereira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe Pereira

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Pereira. A scholar is included among the top collaborators of Felipe Pereira 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 Felipe Pereira. Felipe Pereira 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.
Pereira, Felipe, et al.. (2025). Fast converging parallel offline–online iterative multiscale mixed methods. Journal of Computational and Applied Mathematics. 476. 117123–117123.
2.
Pereira, Felipe, et al.. (2024). Multiscale mixed methods with improved accuracy: The role of oversampling and smoothing. Journal of Computational Physics. 520. 113490–113490. 1 indexed citations
3.
4.
Mamun, Abdullah Al, et al.. (2023). Multiscale sampling for the inverse modeling of partial differential equations. Journal of Computational Physics. 497. 112609–112609.
5.
Pereira, Felipe, et al.. (2020). The multiscale perturbation method for second order elliptic equations. Applied Mathematics and Computation. 387. 125023–125023. 7 indexed citations
6.
Al‐Mamun, Abdullah, et al.. (2020). Contaminant transport forecasting in the subsurface using a Bayesian framework. Applied Mathematics and Computation. 387. 124980–124980. 6 indexed citations
7.
Sousa, Fabrício S., et al.. (2020). Multiscale mixed methods for two-phase flows in high-contrast porous media. Journal of Computational Physics. 409. 109316–109316. 14 indexed citations
8.
Minkoff, Susan E., et al.. (2019). A two-stage Markov chain Monte Carlo method for seismic inversion and uncertainty quantification. Geophysics. 84(6). R1003–R1020. 26 indexed citations
9.
Ausas, Roberto F., et al.. (2018). Interface spaces for the Multiscale Robin Coupled Method in reservoir simulation. Mathematics and Computers in Simulation. 164. 103–119. 14 indexed citations
10.
Ausas, Roberto F., et al.. (2017). The Multiscale Robin Coupled Method for flows in porous media. Journal of Computational Physics. 355. 1–21. 27 indexed citations
11.
12.
Akbarabadi, Morteza, et al.. (2015). A Bayesian framework for the validation of models for subsurface flows: synthetic experiments. Computational Geosciences. 19(6). 1231–1250. 13 indexed citations
13.
Ginting, Victor, et al.. (2014). Multi-physics Markov chain Monte Carlo methods for subsurface flows. Mathematics and Computers in Simulation. 118. 224–238. 7 indexed citations
14.
Ginting, Victor, et al.. (2013). Design and implementation of a multiscale mixed method based on a nonoverlapping domain decomposition procedure. Mathematics and Computers in Simulation. 99. 125–138. 19 indexed citations
15.
Ginting, Victor, et al.. (2012). International Conference on Computational Science, ICCS 2012 Multiple Markov Chains Monte Carlo Approach for Flow Forecasting in Porous Media. 1 indexed citations
16.
Furtado, Frederico, et al.. (2011). Operator Splitting Multiscale Finite Volume Element Method for Two-Phase Flow with Capillary Pressure. Transport in Porous Media. 90(3). 927–947. 12 indexed citations
17.
Furtado, Frederico, et al.. (2008). Scaling Analysis for the Tracer Flow Problem in Self-Similar Permeability Fields. Multiscale Modeling and Simulation. 7(3). 1130–1147. 14 indexed citations
18.
Frı́as, Diego, Márcio A. Murad, & Felipe Pereira. (2003). Stochastic computational modelling of highly heterogeneous poroelastic media with long‐range correlations. International Journal for Numerical and Analytical Methods in Geomechanics. 28(1). 1–32. 29 indexed citations
19.
Douglas, Jim, Diego Frı́as, Nélio Henderson, & Felipe Pereira. (2003). Simulation of Single-Phase Multicomponent Flow Problems in Gas Reservoirs by Eulerian–Lagrangian Techniques. Transport in Porous Media. 50(3). 307–342. 11 indexed citations
20.
Pereira, Felipe, et al.. (1977). Cutaneous leishmaniasis in Alagoas.. Anais Brasileiros de Dermatologia. 52(3). 313–318. 1 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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