André M. S. Barreto
-
- Advanced Multi-Objective Optimization Algorithms 5
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics 7
- Evolutionary Algorithms and Applications 4
- Metaheuristic Optimization Algorithms Research 3
-
- Complex Network Analysis Techniques 3
-
- Advanced Bandit Algorithms Research 2
-
- Advanced Control Systems Optimization 2
- Control Systems and Identification 2
- Co-authors
- Hélio J. C. BarbosaIsabella Alvim GuedesMélaine A. KuenemannMaria A. MitevaEduardo KrempserLaurent E. DardenneOlivier SpérandioHeder S. Bernardino
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceStatistical and Nonlinear Physics
In The Last Decade
André M. S. Barreto
18 papers receiving 300 citations
Peers
Comparison fields: 5 of 99
- Computational Theory and Mathematics 131
- Artificial Intelligence 115
- Statistical and Nonlinear Physics 26
- Computer Graphics and Computer-Aided Design 7
- Management Science and Operations Research 18
Countries citing papers authored by André M. S. Barreto
This map shows the geographic impact of André M. S. Barreto'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 M. S. Barreto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André M. S. Barreto more than expected).
Fields of papers citing papers by André M. S. Barreto
This network shows the impact of papers produced by André M. S. Barreto. 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 M. S. Barreto. The network helps show where André M. S. Barreto may publish in the future.
Co-authorship network
The 18 scholars most cited alongside André M. S. Barreto, 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 | 2022 | 4 | |
| 2 | 2021 | 133 | |
| 3 | 2020 | 19 | |
| 4 | 2019 | 10 | |
| 5 | 2018 | 5 | |
| 6 | 2017 | 2 | |
| 7 | 2016 | 15 | |
| 8 | An expectation-maximization algorithm to compute a stochastic factorization from data | 2015 | 1 |
| 9 | 2015 | 3 | |
| 10 | 2014 | 8 | |
| 11 | 2011 | 8 | |
| 12 | 2011 | 4 | |
| 13 | 2010 | 4 | |
| 14 | 2010 | 42 | |
| 15 | 2009 | 1 | |
| 16 | 2006 | 20 | |
| 17 | 2002 | 12 | |
| 18 | 2001 | 25 |
About André M. S. Barreto
André M. S. Barreto is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 18 papers that have together received 316 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (7 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Evolutionary Algorithms and Applications (4 papers), Complex Network Analysis Techniques (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Advanced Control Systems Optimization (2 papers), Control Systems and Identification (2 papers) and Advanced Bandit Algorithms Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (131 citations), Artificial Intelligence (115 citations) and Statistical and Nonlinear Physics (26 citations). André M. S. Barreto has collaborated with scholars based in Brazil, Canada and France. Frequent co-authors include Hélio J. C. Barbosa, Isabella Alvim Guedes, Mélaine A. Kuenemann, Maria A. Miteva, Eduardo Krempser, Laurent E. Dardenne, Olivier Spérandio, Heder S. Bernardino, Artur Ziviani and Matheus R. F. Mendonça. Their work appears in journals such as Neurocomputing, Scientific Reports, IEEE Transactions on Automatic Control, Journal of Artificial Intelligence Research and ACM Computing Surveys.
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.