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Researcher · Warsaw University of Technology · Poland

Michał Szczepankiewicz

Michał Szczepankiewicz publishes mostly in Artificial Intelligence, Aerospace Engineering and Electrical and Electronic Engineering, on topics such as Adversarial Robustness in Machine Learning, Radar Systems and Signal Processing and Anomaly Detection Techniques and Applications.

OpenAlex
World rank
#2,845,242
of 7,710,434 ranked researchers
Rank in Poland
#18,081
of 100,960
Works
16
Citations
115
Citations per work
7.2
h-index
5
i10-index 3Top 82% in Artificial Intelligence
Michał Szczepankiewicz

What does Michał Szczepankiewicz research?

Michał Szczepankiewicz's work is mostly in Computer Science (48%), Engineering (41%).

Physical Sciences: 14 works · 89.1% of their workComputer Science: 8 works · 47.8% of their workArtificial Intelligence: 5 works · 32.6% of their workComputer Vision and Pattern Recognition: 2 works · 10.9% of their workSoftware: 1 works · 4.3% of their workEngineering: 7 works · 41.3% of their workAerospace Engineering: 4 works · 26.1% of their workElectrical and Electronic Engineering: 2 works · 10.9% of their workSafety, Risk, Reliability and Quality: 1 works · 4.3% of their workEverything else: 2 works · 10.9% of their workTHEIR WORKMichałSzczepankiewicz16works
Physical Sciences89%

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 Science847.8%
    2. Engineering741.3%
  2. Everything else210.9%
  1. 1Artificial Intelligence33% of their works
  2. 2Aerospace Engineering26% of their works
  3. 3Electrical and Electronic Engineering11% of their works
  4. 4Computer Vision and Pattern Recognition11% of their works
  5. 5Software4% of their works
  6. 6Safety, Risk, Reliability and Quality4% of their works

Research topics

Which keywords describe Michał Szczepankiewicz's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Signal Processing, Adversarial Examples, Robustness, Convolutional Neural Networks, MIMO Radar and Waveform Design.

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 20 words, with their numbers
  1. Deep Learning174 topics
  2. Neural Networks112 topics
  3. Signal Processing82 topics
  4. Adversarial Examples71 topic
  5. Robustness71 topic
  6. Convolutional Neural Networks62 topics
  7. MIMO Radar51 topic
  8. Waveform Design51 topic
  9. Anomaly Detection41 topic
  10. Unsupervised41 topic
  11. Image Recognition31 topic
  12. Micro-Doppler Effect31 topic
  13. Object Detection31 topic
  14. Synthetic Aperture Radar31 topic
  15. Architecture-Based Approach21 topic
  16. Failure Analysis21 topic
  17. Hyperparameter Optimization21 topic
  18. Integrated Circuits21 topic
  19. Noisy Labels21 topic
  20. Software Reliability Modeling21 topic

Where does Michał Szczepankiewicz work?

Michał Szczepankiewicz's main affiliation in the publication record is Warsaw University of Technology, Poland.

How many publications and citations does Michał Szczepankiewicz have?

OpenAlex counts 16 works and 115 citations for Michał Szczepankiewicz, an h-index of 5, ranking #2,845,242 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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