André G. Pereira

608 total citations
40 papers, 403 citations indexed

About

André G. Pereira is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, André G. Pereira has authored 40 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 7 papers in Computational Theory and Mathematics. Recurrent topics in André G. Pereira's work include AI-based Problem Solving and Planning (13 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Constraint Satisfaction and Optimization (7 papers). André G. Pereira is often cited by papers focused on AI-based Problem Solving and Planning (13 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Constraint Satisfaction and Optimization (7 papers). André G. Pereira collaborates with scholars based in Brazil, United States and Italy. André G. Pereira's co-authors include David E. Goldberg, Dirk Thierens, Iolanda Leite, Jill Fain Lehman, Alberto Setzer, B. N. Holben, T. F. Eck, I. Slutsker, C. C. Y. Dorea and Marcus Ritt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Artificial Intelligence.

In The Last Decade

André G. Pereira

40 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
André G. Pereira Brazil 10 176 80 72 48 46 40 403
Susumu Shimada Japan 11 113 0.6× 98 1.2× 136 1.9× 8 0.2× 14 0.3× 28 484
Sumam Mary Idicula India 13 279 1.6× 92 1.1× 96 1.3× 11 0.2× 5 0.1× 84 630
Rita Kovordányi Sweden 7 30 0.2× 140 1.8× 183 2.5× 35 0.7× 31 0.7× 24 369
M. Ramalingam India 9 157 0.9× 48 0.6× 42 0.6× 8 0.2× 14 0.3× 41 444
Shaochun Li China 11 90 0.5× 78 1.0× 46 0.6× 6 0.1× 95 2.1× 31 396
Andrew T. Wilson United States 11 157 0.9× 21 0.3× 19 0.3× 18 0.4× 14 0.3× 29 488
Kai H. Chang United States 13 111 0.6× 63 0.8× 32 0.4× 21 0.4× 2 0.0× 56 486
P. Amburn United States 7 83 0.5× 26 0.3× 28 0.4× 23 0.5× 16 0.3× 19 416
Jianhua Zhao China 15 115 0.7× 31 0.4× 13 0.2× 10 0.2× 8 0.2× 70 544
Sharifah Sakinah Syed Ahmad Malaysia 11 89 0.5× 34 0.4× 10 0.1× 37 0.8× 7 0.2× 64 357

Countries citing papers authored by André G. Pereira

Since Specialization
Citations

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

Fields of papers citing papers by André G. Pereira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André G. Pereira

This figure shows the co-authorship network connecting the top 25 collaborators of André G. Pereira. A scholar is included among the top collaborators of André G. 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 André G. Pereira. André G. 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, André G., et al.. (2023). Usando um Algoritmo Genético para diminuir a dimensão de um problema de classificação. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. 1 indexed citations
2.
Pereira, André G., et al.. (2023). A Best-First Search Algorithm for FOND Planning and Heuristic Functions to Optimize Decompressed Solution Size. Proceedings of the International Conference on Automated Planning and Scheduling. 33(1). 277–285. 2 indexed citations
3.
Pereira, Ramon Fraga, et al.. (2022). Iterative Depth-First Search for FOND Planning. IRIS Research product catalog (Sapienza University of Rome). 3 indexed citations
4.
Pereira, André G., et al.. (2022). PEA*+IDA*: An Improved Hybrid Memory-Restricted Algorithm. Proceedings of the AAAI Conference on Artificial Intelligence. 36(9). 10291–10298. 1 indexed citations
5.
Meneguzzi, Felipe, et al.. (2021). An LP-Based Approach for Goal Recognition as Planning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(13). 11939–11946. 8 indexed citations
6.
Pereira, Ramon Fraga, André G. Pereira, & Felipe Meneguzzi. (2021). Landmark-Enhanced Heuristics for Goal Recognition in Incomplete Domain Models. Proceedings of the International Conference on Automated Planning and Scheduling. 29. 329–337. 4 indexed citations
7.
Pereira, André G., Marcus Ritt, & Luciana S. Buriol. (2021). Finding Optimal Solutions to Sokoban Using Instance Dependent Pattern Databases. Proceedings of the International Symposium on Combinatorial Search. 4(1). 141–148. 2 indexed citations
8.
Pereira, André G., et al.. (2018). Convergence analysis of an elitist non-homogeneous genetic algorithm with crossover/mutation probabilities adjusted by a fuzzy controller. UNESP Institutional Repository (São Paulo State University). 19–32. 2 indexed citations
9.
Pereira, André G., et al.. (2018). Analyzing Tie-Breaking Strategies for the A* Algorithm. 4715–4721. 2 indexed citations
10.
Pereira, André G., Robert C. Holte, Jonathan Schaeffer, Luciana S. Buriol, & Marcus Ritt. (2016). Improved heuristic and tie-breaking for optimally solving Sokoban. International Joint Conference on Artificial Intelligence. 662–668. 3 indexed citations
11.
Pereira, André G., Marcus Ritt, & Luciana S. Buriol. (2016). Pull and PushPull are PSPACE-complete. Theoretical Computer Science. 628. 50–61. 4 indexed citations
12.
Leite, Iolanda, et al.. (2016). Semi-situated learning of verbal and nonverbal content for repeated human-robot interaction. 13–20. 15 indexed citations
13.
Pereira, André G., et al.. (2016). Improved Airport Ground Traffic Control with Domain-Dependent Heuristics. 26. 73–78. 1 indexed citations
14.
Pereira, André G., et al.. (2015). Modeling Motivational States for Adaptive Robot Companions.. National Conference on Artificial Intelligence. 77–80. 1 indexed citations
15.
Pereira, André G., Marcus Ritt, & Luciana S. Buriol. (2015). Optimal Sokoban solving using pattern databases with specific domain knowledge. Artificial Intelligence. 227. 52–70. 10 indexed citations
16.
Pereira, André G., Marcus Ritt, & Luciana S. Buriol. (2014). Solving motion planning problems. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 1 indexed citations
17.
Souza, J. R., et al.. (2014). First results of operational ionospheric dynamics prediction for the Brazilian Space Weather program. Advances in Space Research. 54(1). 22–36. 4 indexed citations
18.
Pereira, André G., et al.. (2013). Modeling the Genetic Algorithm by a Nonhomogeneous Markov Chain: Weak and Strong Ergodicity. Theory of Probability and Its Applications. 57(1). 144–151. 8 indexed citations
19.
Pereira, André G., et al.. (2012). Data assimilation using NeuroEvolution of Augmenting Topologies. 1–6. 2 indexed citations
20.
Holben, B. N., Alberto Setzer, T. F. Eck, André G. Pereira, & I. Slutsker. (1996). Effect of dry‐season biomass burning on Amazon basin aerosol concentrations and optical properties, 1992–1994. Journal of Geophysical Research Atmospheres. 101(D14). 19465–19481. 84 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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