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Researcher · Cracow University of Technology · Poland

Paweł Pławiak

Paweł Pławiak publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, on topics such as ECG Monitoring and Analysis, EEG and Brain-Computer Interfaces and Artificial Intelligence in Healthcare.

ORCID 0000-0002-4317-2801 OpenAlex
World rank
#25,863
of 7,710,434 ranked researchers
Rank in Poland
#226
of 100,960
Works
162
Citations
7.2k
Citations per work
44.4
h-index
44
i10-index 101Top 1.5% in Artificial Intelligence
Paweł Pławiak

What does Paweł Pławiak research?

Paweł Pławiak's work is mostly in Computer Science (33%), Medicine (14%), Neuroscience (5%).

Everything else: 77 works · 47.5% of their workPhysical Sciences: 53 works · 32.9% of their workComputer Science: 53 works · 32.9% of their workArtificial Intelligence: 24 works · 15.0% of their workComputer Vision and Pattern Recognition: 21 works · 13.2% of their workComputer Networks and Communications: 8 works · 4.7% of their workHealth Sciences: 23 works · 14.2% of their workMedicine: 23 works · 14.2% of their workCardiology and Cardiovascular Medicine: 15 works · 9.0% of their workRadiology, Nuclear Medicine and Imaging: 8 works · 5.2% of their workLife Sciences: 9 works · 5.4% of their workNeuroscience: 9 works · 5.4% of their workCognitive Neuroscience: 9 works · 5.4% of their workTHEIR WORKPaweł Pławiak162works
Life Sciences5%Physical Sciences33%Health Sciences14%

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 else7747.5%
    1. Computer Science5332.9%
    1. Medicine2314.2%
    1. Neuroscience95.4%
  1. 1Artificial Intelligence15% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Cardiology and Cardiovascular Medicine9% of their works
  4. 4Cognitive Neuroscience5% of their works
  5. 5Radiology, Nuclear Medicine and Imaging5% of their works
  6. 6Computer Networks and Communications5% of their works

Research topics

Which keywords describe Paweł Pławiak's research?

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

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 22 words, with their numbers
  1. Deep Learning685 topics
  2. Classification372 topics
  3. Machine Learning333 topics
  4. Arrhythmia Detection271 topic
  5. ECG Signal271 topic
  6. Convolutional Neural Networks232 topics
  7. Brain-Computer Interfaces221 topic
  8. EEG Analysis221 topic
  9. Medical Imaging222 topics
  10. Transfer Learning222 topics
  11. Big Data Analytics121 topic
  12. COVID-19121 topic
  13. Chest X-Ray121 topic
  14. Healthcare121 topic
  15. Histopathology Images111 topic
  16. Medical Image Analysis111 topic
  17. Brain Tumor101 topic
  18. Chaos101 topic
  19. Image Encryption101 topic
  20. MRI101 topic
  21. Reversible Data Embedding81 topic
  22. Steganography81 topic

Where does Paweł Pławiak work?

Paweł Pławiak's main affiliation in the publication record is Cracow University of Technology, Poland.

How many publications and citations does Paweł Pławiak have?

OpenAlex counts 162 works and 7,189 citations for Paweł Pławiak, an h-index of 44, ranking #25,863 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.

Discussion

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