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Researcher · Universidade Tecnológica Federal do Paraná · Brazil

Miguel Antônio Sovierzoski

Miguel Antônio Sovierzoski publishes mostly in Cognitive Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as EEG and Brain-Computer Interfaces, ECG Monitoring and Analysis and Anomaly Detection Techniques and Applications.

OpenAlex
World rank
#7,337,911
of 7,710,434 ranked researchers
Rank in Brazil
#231,757
of 253,246
Works
36
Citations
135
Citations per work
3.8
h-index
7
i10-index 4Top 83% in Cognitive Neuroscience
Miguel Antônio Sovierzoski

What does Miguel Antônio Sovierzoski research?

Miguel Antônio Sovierzoski's work is mostly in Computer Science (23%), Neuroscience (12%), Medicine (9%).

Everything else: 18 works · 49.5% of their workPhysical Sciences: 8 works · 23.4% of their workComputer Science: 8 works · 23.4% of their workArtificial Intelligence: 4 works · 9.9% of their workComputer Vision and Pattern Recognition: 3 works · 8.6% of their workSignal Processing: 2 works · 4.9% of their workLife Sciences: 4 works · 12.3% of their workNeuroscience: 4 works · 12.3% of their workCognitive Neuroscience: 4 works · 12.3% of their workHealth Sciences: 3 works · 8.6% of their workMedicine: 3 works · 8.6% of their workCardiology and Cardiovascular Medicine: 3 works · 8.6% of their workSocial Sciences: 2 works · 6.2% of their workSocial Sciences: 2 works · 6.2% of their workEducation: 2 works · 6.2% of their workTHEIR WORKMiguel AntônioSovierzoski36works
Life Sciences12%Physical Sciences23%Health Sciences9%Social Sciences6%

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
  1. Everything else1849.5%
    1. Computer Science823.4%
    1. Neuroscience412.3%
    1. Medicine38.6%
    1. Social Sciences26.2%
  1. 1Cognitive Neuroscience12% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Cardiology and Cardiovascular Medicine9% of their works
  5. 5Education6% of their works
  6. 6Signal Processing5% of their works

Research topics

Which keywords describe Miguel Antônio Sovierzoski's research?

The keywords of their largest research topics: Deep Learning, Brain-Computer Interfaces, EEG Analysis, Wavelet Transform, Arrhythmia Detection, ECG Signal, Neural Networks and Anomaly Detection.

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.

All 19 words, with their numbers
  1. Deep Learning145 topics
  2. Brain-Computer Interfaces81 topic
  3. EEG Analysis81 topic
  4. Wavelet Transform72 topics
  5. Arrhythmia Detection51 topic
  6. ECG Signal51 topic
  7. Neural Networks52 topics
  8. Anomaly Detection31 topic
  9. Eye Tracking31 topic
  10. Gaze Estimation31 topic
  11. Unsupervised31 topic
  12. Backpropagation Learning21 topic
  13. Edge Computing21 topic
  14. Image Denoising21 topic
  15. Internet of Things21 topic
  16. Protein21 topic
  17. Self-Organizing Maps21 topic
  18. Sparse Representations21 topic
  19. Subcellular Localization21 topic

Where does Miguel Antônio Sovierzoski work?

Miguel Antônio Sovierzoski's main affiliation in the publication record is Universidade Tecnológica Federal do Paraná, Brazil.

How many publications and citations does Miguel Antônio Sovierzoski have?

OpenAlex counts 36 works and 135 citations for Miguel Antônio Sovierzoski, an h-index of 7, ranking #7,337,911 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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