Péricles Miranda
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
Papers in
-
- Metaheuristic Optimization Algorithms Research 25
- Evolutionary Algorithms and Applications 14
- Machine Learning and Data Classification 13
- Natural Language Processing Techniques 7
- Topic Modeling 7
- Imbalanced Data Classification Techniques 6
-
- Advanced Multi-Objective Optimization Algorithms 15
- Co-authors
- Ricardo B. C. Prudêncio (16 shared papers)Tapas Si (13 shared papers)André C. P. L. F. de Carvalho (4 shared papers)Carmelo J. A. Bastos-Filho (6 shared papers)Carlos Soares (4 shared papers)Rafael Ferreira Mello (22 shared papers)André Nascimento (19 shared papers)Flávia Barros (1 shared paper)
- Journals
- Expert Systems with Applications (9 papers)Artificial Intelligence Review (2 papers)IEEE Access (2 papers)Applied Soft Computing (2 papers)Neurocomputing (1 paper)
- Partner nations
- BrazilIndiaUnited States
In The Last Decade
Péricles Miranda
58 papers receiving 506 citations
Peers
Comparison fields: 5 of 92
- Software 50
- Artificial Intelligence 296
- Computer Science Applications 31
- Computational Theory and Mathematics 90
- Information Systems 72
Countries citing papers authored by Péricles Miranda
This map shows the geographic impact of Péricles Miranda'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 Péricles Miranda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péricles Miranda more than expected).
Fields of papers citing papers by Péricles Miranda
This network shows the impact of papers produced by Péricles Miranda. 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 Péricles Miranda. The network helps show where Péricles Miranda may publish in the future.
Co-authors
The 25 scholars most cited alongside Péricles Miranda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 47 | |
| 2 | 2011 | 45 | |
| 3 | 2017 | 44 | |
| 4 | 2022 | 43 | |
| 5 | 2020 | 30 | |
| 6 | 2017 | 24 | |
| 7 | 2014 | 21 | |
| 8 | 2009 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2015 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2014 | 13 | |
| 13 | 2012 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2008 | 11 | |
| 16 | 2017 | 10 | |
| 17 | 2012 | 10 | |
| 18 | 2013 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2011 | 9 |
About Péricles Miranda
Péricles Miranda is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Molecular Biology, having authored 73 papers that have together received 525 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (25 papers), Advanced Multi-Objective Optimization Algorithms (15 papers), Evolutionary Algorithms and Applications (14 papers), Machine Learning and Data Classification (13 papers), Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers), Imbalanced Data Classification Techniques (6 papers) and Software Engineering Research (5 papers). The work is most often cited by research in Software (50 citations), Artificial Intelligence (296 citations), Computer Science Applications (31 citations), Computational Theory and Mathematics (90 citations) and Information Systems (72 citations). Péricles Miranda has collaborated with scholars based in Brazil, India and United States. Frequent co-authors include Ricardo B. C. Prudêncio, Tapas Si, André C. P. L. F. de Carvalho, Carmelo J. A. Bastos-Filho, Carlos Soares, Rafael Ferreira Mello, André Nascimento, Flávia Barros, Ana Carolina Lorena and Ivan G. Costa. Their work appears in journals such as Expert Systems with Applications, Artificial Intelligence Review, IEEE Access, Applied Soft Computing and Neurocomputing.
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.