Joao P. Malere
Joao P. Malere publishes mostly in Control and Systems Engineering, Safety, Risk, Reliability and Quality and Industrial and Manufacturing Engineering, on topics such as Fault Detection and Control Systems, Machine Fault Diagnosis Techniques and Anomaly Detection Techniques and Applications.
- World rank
- #5,581,348 of 7,710,434 ranked researchers
- Rank in Brazil
- #120,617 of 253,246
- Works
- 16
- Citations
- 193
- Citations per work
- 12.1
What does Joao P. Malere research?
Joao P. Malere's work is mostly in Engineering (58%), Computer Science (13%), Decision Sciences (8%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences1171.1%
- Engineering957.9%
- Computer Science213.2%
- Everything else321.0%
- Social Sciences17.9%
- Decision Sciences17.9%
- 1Control and Systems Engineering40% of their works
- 2Safety, Risk, Reliability and Quality10% of their works
- 3Industrial and Manufacturing Engineering8% of their works
- 4Statistics, Probability and Uncertainty8% of their works
- 5Artificial Intelligence8% of their works
- 6Information Systems5% of their works
Research topics
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Anomaly Detection Techniques and Applications
- Reliability and Maintenance Optimization
- Advanced Manufacturing and Logistics Optimization
- Risk and Safety Analysis
- Analytical Chemistry and Sensors
- Software Engineering Techniques and Practices
Which keywords describe Joao P. Malere's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Neural Networks, Fault Detection, Process Monitoring, Empirical Mode Decomposition, Fault Diagnosis and Anomaly Detection.
- Ion-Selective Electrodes
- Agile Software Development
- Order Picking
- Bayesian Networks
- Reliability Engineering
- Anomaly Detection
- Empirical Mode Decomposition
- Fault Detection
- Deep Learning
- Machine Learning
- Neural Networks
- Process Monitoring
- Fault Diagnosis
- Maintenance Optimization
- Unsupervised
- Fault Tree Analysis
- Warehouse Design
- Empirical Studies
- Optical Sensors
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 19 words, with their numbers
- Machine Learning152 topics
- Deep Learning102 topics
- Neural Networks102 topics
- Fault Detection81 topic
- Process Monitoring81 topic
- Empirical Mode Decomposition71 topic
- Fault Diagnosis71 topic
- Anomaly Detection31 topic
- Maintenance Optimization31 topic
- Reliability Engineering31 topic
- Unsupervised31 topic
- Bayesian Networks21 topic
- Fault Tree Analysis21 topic
- Order Picking21 topic
- Warehouse Design21 topic
- Agile Software Development11 topic
- Empirical Studies11 topic
- Ion-Selective Electrodes11 topic
- Optical Sensors11 topic
Where does Joao P. Malere work?
Joao P. Malere's main affiliation in the publication record is Embraer (Brazil), Brazil.
How many publications and citations does Joao P. Malere have?
OpenAlex counts 16 works and 193 citations for Joao P. Malere, an h-index of 5, ranking #5,581,348 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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