Walmir M. Caminhas
- Artificial Intelligence top 1%
- Neural Networks and Applications 29
- Fuzzy Logic and Control Systems 28
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- Fault Detection and Control Systems 26
- Machine Fault Diagnosis Techniques 11
- Information Systems top 2%
- Signal Processing top 5%
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- Artificial Immune Systems Applications 9
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- Structural Health Monitoring Techniques 6
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- Fuzzy Systems and Optimization 6
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- Stock Market Forecasting Methods 4
- Co-authors
- Thiago GuzellaAndré LemosFernando GomideReinaldo M. PalharesB.R. MenezesLane Maria Rabelo BaccariniMarcos Flávio Silveira Vasconcelos D’ÂngeloAlisson Marques da Silva
- Journals
- IEEE Transactions on Industrial Electronics (1 paper)Expert Systems with Applications (7 papers)IEEE Access (2 papers)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Walmir M. Caminhas
78 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 1.0k
- Control and Systems Engineering 646
- Information Systems 296
- Computer Networks and Communications 301
- Signal Processing 115
Countries citing papers authored by Walmir M. Caminhas
This map shows the geographic impact of Walmir M. Caminhas'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 Walmir M. Caminhas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walmir M. Caminhas more than expected).
Fields of papers citing papers by Walmir M. Caminhas
This network shows the impact of papers produced by Walmir M. Caminhas. 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 Walmir M. Caminhas. The network helps show where Walmir M. Caminhas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Walmir M. Caminhas, 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 | 1 | |
| 2 | 2019 | 83 | |
| 3 | 2014 | 20 | |
| 4 | 2014 | 4 | |
| 5 | 2013 | 51 | |
| 6 | 2012 | 29 | |
| 7 | 2010 | 150 | |
| 8 | 2010 | 40 | |
| 9 | 2010 | 2 | |
| 10 | 2010 | 32 | |
| 11 | 2008 | 18 | |
| 12 | 2008 | 16 | |
| 13 | 2008 | 20 | |
| 14 | A New Neurofuzzy Controller Applied to Vector Control of Induction Motors. | 2005 | 1 |
| 15 | 2004 | 1 | |
| 16 | 2002 | 3 | |
| 17 | 2002 | 13 | |
| 18 | 1999 | 32 | |
| 19 | 1999 | 1 | |
| 20 | 1990 | 2 |
About Walmir M. Caminhas
Walmir M. Caminhas is a scholar working on Control and Systems Engineering, Artificial Intelligence and Statistics and Probability, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (29 papers), Fuzzy Logic and Control Systems (28 papers), Fault Detection and Control Systems (26 papers), Machine Fault Diagnosis Techniques (11 papers), Artificial Immune Systems Applications (9 papers), Structural Health Monitoring Techniques (6 papers), Fuzzy Systems and Optimization (6 papers) and Stock Market Forecasting Methods (4 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Control and Systems Engineering (646 citations) and Information Systems (296 citations). Walmir M. Caminhas has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Thiago Guzella, André Lemos, Fernando Gomide, Reinaldo M. Palhares, B.R. Menezes, Lane Maria Rabelo Baccarini, Marcos Flávio Silveira Vasconcelos D’Ângelo, Alisson Marques da Silva, Ricardo H. C. Takahashi and Leandro Nunes de Castro. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.
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.