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Researcher · Institute of Theoretical and Applied Informatics · Poland

Michał Cholewa

Michał Cholewa publishes mostly in Artificial Intelligence, Media Technology and Computer Vision and Pattern Recognition, on topics such as Remote-Sensing Image Classification, Spectroscopy and Chemometric Analyses and Image and Signal Denoising Methods.

ORCID 0000-0001-6549-1590 OpenAlex
World rank
#5,341,504
of 7,710,434 ranked researchers
Rank in Poland
#47,245
of 100,960
Works
52
Citations
244
Citations per work
4.7
h-index
7
i10-index 6Top 65% in Artificial Intelligence
Michał Cholewa

What does Michał Cholewa research?

Michał Cholewa's work is mostly in Computer Science (32%), Engineering (19%), Chemistry (5%).

Physical Sciences: 31 works · 59.0% of their workComputer Science: 17 works · 31.8% of their workArtificial Intelligence: 11 works · 20.2% of their workComputer Vision and Pattern Recognition: 6 works · 11.6% of their workEngineering: 10 works · 18.6% of their workMedia Technology: 8 works · 14.7% of their workBiomedical Engineering: 2 works · 3.9% of their workChemistry: 2 works · 4.7% of their workAnalytical Chemistry: 2 works · 4.7% of their workEnvironmental Science: 2 works · 3.9% of their workEnvironmental Engineering: 2 works · 3.9% of their workEverything else: 21 works · 41.0% of their workTHEIR WORKMichał Cholewa52works
Physical Sciences59%

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. Computer Science1731.8%
    2. Engineering1018.6%
    3. Chemistry24.7%
    4. Environmental Science23.9%
  2. Everything else2141.0%
  1. 1Artificial Intelligence20% of their works
  2. 2Media Technology15% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Analytical Chemistry5% of their works
  5. 5Environmental Engineering4% of their works
  6. 6Biomedical Engineering4% of their works

Research topics

Which keywords describe Michał Cholewa's research?

The keywords of their largest research topics: Deep Learning, Classification, Hyperspectral, Image Analysis, Hyperspectral Imaging, Image Denoising, Multivariate Calibration and Near-Infrared Spectroscopy.

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 Learning314 topics
  2. Classification212 topics
  3. Hyperspectral161 topic
  4. Image Analysis161 topic
  5. Hyperspectral Imaging122 topics
  6. Image Denoising61 topic
  7. Multivariate Calibration61 topic
  8. Near-Infrared Spectroscopy61 topic
  9. Sparse Representations61 topic
  10. Action Recognition51 topic
  11. Hyperparameter Optimization51 topic
  12. Noisy Labels51 topic
  13. Pose Estimation51 topic
  14. Forest Carbon Stocks41 topic
  15. Leak Detection41 topic
  16. Lidar Remote Sensing41 topic
  17. Neural Networks41 topic
  18. Self-Organizing Maps41 topic
  19. Water Distribution Networks41 topic

Where does Michał Cholewa work?

Michał Cholewa's main affiliation in the publication record is Institute of Theoretical and Applied Informatics, Poland.

How many publications and citations does Michał Cholewa have?

OpenAlex counts 52 works and 244 citations for Michał Cholewa, an h-index of 7, ranking #5,341,504 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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