André G. Pereira
- Artificial Intelligence top 10%
- AI-based Problem Solving and Planning 13
- Metaheuristic Optimization Algorithms Research 9
- Evolutionary Algorithms and Applications 6
- Logic, Reasoning, and Knowledge 4
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- Advanced Multi-Objective Optimization Algorithms 3
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- Constraint Satisfaction and Optimization 7
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- Advanced Control Systems Design 3
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- Robotic Path Planning Algorithms 3
- Co-authors
- Dirk ThierensDavid E. GoldbergIolanda LeiteJill Fain LehmanAlberto SetzerT. F. EckI. SlutskerB. N. Holben
- Journals
- Journal of Geophysical Research Atmospheres (1 paper)Advances in Space Research (1 paper)Artificial Intelligence (1 paper)
- Partner nations
- BrazilUnited StatesItaly
In The Last Decade
André G. Pereira
40 papers receiving 368 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 176
- Atmospheric Science 72
- Human-Computer Interaction 21
- Global and Planetary Change 80
- Computational Theory and Mathematics 48
Countries citing papers authored by André G. Pereira
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
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
The 25 scholars most cited alongside André G. Pereira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 8 | |
| 7 | 2019 | 7 | |
| 8 | Convergence analysis of an elitist non-homogeneous genetic algorithm with crossover/mutation probabilities adjusted by a fuzzy controller | 2018 | 2 |
| 9 | 2018 | 2 | |
| 10 | Improved heuristic and tie-breaking for optimally solving Sokoban | 2016 | 3 |
| 11 | 2016 | 4 | |
| 12 | 2016 | 15 | |
| 13 | 2016 | 1 | |
| 14 | Modeling Motivational States for Adaptive Robot Companions. | 2015 | 1 |
| 15 | 2015 | 10 | |
| 16 | Solving motion planning problems | 2014 | 1 |
| 17 | 2014 | 4 | |
| 18 | 2013 | 8 | |
| 19 | 2013 | 13 | |
| 20 | 2012 | 2 |
About André G. Pereira
André G. Pereira is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 40 papers that have together received 403 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (13 papers), Metaheuristic Optimization Algorithms Research (9 papers), Constraint Satisfaction and Optimization (7 papers), Evolutionary Algorithms and Applications (6 papers), Logic, Reasoning, and Knowledge (4 papers), Advanced Control Systems Design (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (176 citations), Atmospheric Science (72 citations), Human-Computer Interaction (21 citations), Global and Planetary Change (80 citations) and Computational Theory and Mathematics (48 citations). André G. Pereira has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Dirk Thierens, David E. Goldberg, Iolanda Leite, Jill Fain Lehman, Alberto Setzer, T. F. Eck, I. Slutsker, B. N. Holben, C. C. Y. Dorea and Marcus Ritt. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Advances in Space Research, Artificial Intelligence, Theoretical Computer Science and Numerical Functional Analysis and Optimization.
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.