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Researcher · Częstochowa University of Technology · Poland

Grzegorz Dudek

Grzegorz Dudek publishes mostly in Electrical and Electronic Engineering, Artificial Intelligence and Management Science and Operations Research, on topics such as Energy Load and Power Forecasting, Neural Networks and Applications and Stock Market Forecasting Methods.

ORCID 0000-0002-2285-0327 OpenAlex
World rank
#982,050
of 7,710,434 ranked researchers
Rank in Poland
#6,130
of 100,960
Works
140
Citations
2.4k
Citations per work
17.3
h-index
23
i10-index 42Top 14% in Electrical and Electronic Engineering
Grzegorz Dudek

What does Grzegorz Dudek research?

Grzegorz Dudek's work is mostly in Engineering (29%), Computer Science (26%), Decision Sciences (18%).

Physical Sciences: 81 works · 58.2% of their workEngineering: 41 works · 29.1% of their workElectrical and Electronic Engineering: 38 works · 26.9% of their workSafety, Risk, Reliability and Quality: 3 works · 2.2% of their workComputer Science: 37 works · 26.1% of their workArtificial Intelligence: 30 works · 21.2% of their workComputer Vision and Pattern Recognition: 7 works · 4.9% of their workEnergy: 4 works · 3.0% of their workRenewable Energy, Sustainability and the Environment: 4 works · 3.0% of their workEverything else: 33 works · 23.8% of their workSocial Sciences: 25 works · 18.0% of their workDecision Sciences: 25 works · 18.0% of their workManagement Science and Operations Research: 25 works · 18.0% of their workTHEIR WORKGrzegorz Dudek140works
Physical Sciences58%Social Sciences18%

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. Engineering4129.1%
    2. Computer Science3726.1%
    3. Energy43.0%
  2. Everything else3323.8%
    1. Decision Sciences2518.0%
  1. 1Electrical and Electronic Engineering27% of their works
  2. 2Artificial Intelligence21% of their works
  3. 3Management Science and Operations Research18% of their works
  4. 4Computer Vision and Pattern Recognition5% of their works
  5. 5Renewable Energy, Sustainability and the Environment3% of their works
  6. 6Safety, Risk, Reliability and Quality2% of their works

Research topics

Which keywords describe Grzegorz Dudek's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Electricity Price Forecasting, Load Forecasting, Backpropagation Learning, Self-Organizing Maps, Stock Market Prediction and Time Series Forecasting.

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 18 words, with their numbers
  1. Neural Networks1815 topics
  2. Deep Learning1624 topics
  3. Electricity Price Forecasting741 topic
  4. Load Forecasting741 topic
  5. Backpropagation Learning381 topic
  6. Self-Organizing Maps381 topic
  7. Stock Market Prediction361 topic
  8. Time Series Forecasting361 topic
  9. Forecasting191 topic
  10. Time Series191 topic
  11. Grey System Theory181 topic
  12. Time Series Prediction181 topic
  13. Extreme Learning Machine141 topic
  14. Feedforward Networks141 topic
  15. Image Denoising141 topic
  16. Sparse Representations141 topic
  17. Economic Dispatch131 topic
  18. Unit Commitment131 topic

Where does Grzegorz Dudek work?

Grzegorz Dudek's main affiliation in the publication record is Częstochowa University of Technology, Poland.

How many publications and citations does Grzegorz Dudek have?

OpenAlex counts 140 works and 2,424 citations for Grzegorz Dudek, an h-index of 23, ranking #982,050 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.

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