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Researcher · Halmstad University · Sweden

Sławomir Nowaczyk

Sławomir Nowaczyk publishes mostly in Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering, on topics such as Anomaly Detection Techniques and Applications, Fault Detection and Control Systems and Time Series Analysis and Forecasting.

ORCID 0000-0002-7796-5201 OpenAlex
World rank
#1,436,282
of 7,710,434 ranked researchers
Rank in Sweden
#18,544
of 71,437
Works
194
Citations
2k
Citations per work
10.5
h-index
23
i10-index 46Top 9.4% in Artificial Intelligence
Sławomir Nowaczyk

What does Sławomir Nowaczyk research?

Sławomir Nowaczyk's work is mostly in Computer Science (42%), Engineering (15%), Decision Sciences (4%).

Physical Sciences: 109 works · 56.0% of their workComputer Science: 81 works · 41.5% of their workArtificial Intelligence: 65 works · 33.5% of their workSignal Processing: 8 works · 4.3% of their workComputer Vision and Pattern Recognition: 7 works · 3.7% of their workEngineering: 28 works · 14.5% of their workControl and Systems Engineering: 20 works · 10.1% of their workElectrical and Electronic Engineering: 9 works · 4.4% of their workEverything else: 78 works · 40.1% of their workSocial Sciences: 8 works · 3.9% of their workDecision Sciences: 8 works · 3.9% of their workManagement Science and Operations Research: 8 works · 3.9% of their workTHEIR WORKSławomir Nowaczyk194works
Physical Sciences56%Social Sciences4%

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 Science8141.5%
    2. Engineering2814.5%
  2. Everything else7840.1%
    1. Decision Sciences83.9%
  1. 1Artificial Intelligence34% of their works
  2. 2Control and Systems Engineering10% of their works
  3. 3Electrical and Electronic Engineering4% of their works
  4. 4Signal Processing4% of their works
  5. 5Management Science and Operations Research4% of their works
  6. 6Computer Vision and Pattern Recognition4% of their works

Research topics

Which keywords describe Sławomir Nowaczyk's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Time Series, Machine Learning, Anomaly Detection, Unsupervised, Fault Detection and Process Monitoring.

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 20 words, with their numbers
  1. Deep Learning704 topics
  2. Neural Networks523 topics
  3. Time Series462 topics
  4. Machine Learning392 topics
  5. Anomaly Detection281 topic
  6. Unsupervised281 topic
  7. Fault Detection251 topic
  8. Process Monitoring251 topic
  9. Clustering181 topic
  10. Dynamic Time Warping181 topic
  11. Empirical Mode Decomposition141 topic
  12. Fault Diagnosis141 topic
  13. Hyperparameter Optimization121 topic
  14. Noisy Labels121 topic
  15. Agent-Based Modeling101 topic
  16. Backpropagation Learning101 topic
  17. Multi-Agent Systems101 topic
  18. Self-Organizing Maps101 topic
  19. Ontology91 topic
  20. Semantic Web91 topic

Where does Sławomir Nowaczyk work?

Sławomir Nowaczyk's main affiliation in the publication record is Halmstad University, Sweden.

How many publications and citations does Sławomir Nowaczyk have?

OpenAlex counts 194 works and 2,036 citations for Sławomir Nowaczyk, an h-index of 23, ranking #1,436,282 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.

Discussion

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