Pyramo Costa
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Data Stream Mining Techniques
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- Power Systems Fault Detection
Papers in
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- Neural Networks and Applications 15
- Fuzzy Logic and Control Systems 13
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- Energy Load and Power Forecasting 7
- Power Transformer Diagnostics and Insulation 6
- Co-authors
- Daniel Leite (16 shared papers)Fernando Gomide (17 shared papers)Rosângela Ballini (4 shared papers)Bruno Sielly Jales Costa (1 shared paper)Eduardo Soares (1 shared paper)Marcos Flávio Silveira Vasconcelos D’Ângelo (1 shared paper)Igor Škrjanc (1 shared paper)
- Journals
- IEEE Transactions on Power Delivery (2 papers)Evolving Systems (2 papers)Electric Power Systems Research (1 paper)Applied Soft Computing (1 paper)Neural Networks (1 paper)
- Partner nations
- BrazilUnited StatesSlovenia
In The Last Decade
Pyramo Costa
29 papers receiving 621 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 338
- Control and Systems Engineering 232
- Management Science and Operations Research 86
- Signal Processing 47
- Computational Theory and Mathematics 62
Countries citing papers authored by Pyramo Costa
This map shows the geographic impact of Pyramo Costa'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 Pyramo Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pyramo Costa more than expected).
Fields of papers citing papers by Pyramo Costa
This network shows the impact of papers produced by Pyramo Costa. 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 Pyramo Costa. The network helps show where Pyramo Costa may publish in the future.
Co-authors
The 7 scholars most cited alongside Pyramo Costa, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 108 | |
| 2 | 2012 | 99 | |
| 3 | 2012 | 88 | |
| 4 | 2017 | 70 | |
| 5 | 2010 | 31 | |
| 6 | 2008 | 29 | |
| 7 | 2007 | 25 | |
| 8 | 2011 | 24 | |
| 9 | 2018 | 19 | |
| 10 | 2020 | 16 | |
| 11 | 2009 | 15 | |
| 12 | 2012 | 14 | |
| 13 | 2008 | 13 | |
| 14 | 2009 | 13 | |
| 15 | 2009 | 11 | |
| 16 | 2002 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2007 | 7 | |
| 20 | 2007 | 6 |
About Pyramo Costa
Pyramo Costa is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Computational Theory and Mathematics and Management Science and Operations Research, having authored 29 papers that have together received 642 indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Fuzzy Logic and Control Systems (13 papers), Machine Fault Diagnosis Techniques (7 papers), Rough Sets and Fuzzy Logic (7 papers), Energy Load and Power Forecasting (7 papers), Power Transformer Diagnostics and Insulation (6 papers), Stock Market Forecasting Methods (5 papers) and Power Systems Fault Detection (3 papers). The work is most often cited by research in Artificial Intelligence (338 citations), Control and Systems Engineering (232 citations), Management Science and Operations Research (86 citations), Signal Processing (47 citations) and Computational Theory and Mathematics (62 citations). Pyramo Costa has collaborated with scholars based in Brazil, United States and Slovenia. Frequent co-authors include Daniel Leite, Fernando Gomide, Rosângela Ballini, Bruno Sielly Jales Costa, Eduardo Soares, Marcos Flávio Silveira Vasconcelos D’Ângelo and Igor Škrjanc. Their work appears in journals such as IEEE Transactions on Power Delivery, Evolving Systems, Electric Power Systems Research, Applied Soft Computing and Neural Networks.
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.