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Researcher · University of Waterloo · Canada

Daniel Dylewsky

Daniel Dylewsky publishes mostly in Global and Planetary Change, Statistical and Nonlinear Physics and Artificial Intelligence, on topics such as Ecosystem dynamics and resilience, Model Reduction and Neural Networks and Complex Systems and Time Series Analysis.

ORCID 0000-0003-4904-1391 OpenAlex
World rank
#2,439,473
of 7,710,434 ranked researchers
Rank in Canada
#79,999
of 183,316
Works
21
Citations
299
Citations per work
14.2
h-index
7
i10-index 7Top 79% in Global and Planetary Change
Daniel Dylewsky

What does Daniel Dylewsky research?

Daniel Dylewsky's work is mostly in Environmental Science (24%), Physics and Astronomy (16%), Computer Science (10%).

Physical Sciences: 12 works · 59.2% of their workEnvironmental Science: 5 works · 24.5% of their workGlobal and Planetary Change: 4 works · 18.4% of their workEnvironmental Engineering: 1 works · 6.1% of their workPhysics and Astronomy: 3 works · 16.3% of their workStatistical and Nonlinear Physics: 3 works · 16.3% of their workComputer Science: 2 works · 10.2% of their workArtificial Intelligence: 2 works · 10.2% of their workEngineering: 2 works · 8.2% of their workElectrical and Electronic Engineering: 2 works · 8.2% of their workEverything else: 6 works · 30.6% of their workSocial Sciences: 2 works · 10.2% of their workEconomics, Econometrics and Finance: 2 works · 10.2% of their workEconomics and Econometrics: 2 works · 10.2% of their workTHEIR WORKDaniel Dylewsky21works
Physical Sciences59%Social Sciences10%

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. Environmental Science524.5%
    2. Physics and Astronomy316.3%
    3. Computer Science210.2%
    4. Engineering28.2%
  2. Everything else630.6%
    1. Economics, Econometrics and Finance210.2%
  1. 1Global and Planetary Change18% of their works
  2. 2Statistical and Nonlinear Physics16% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Economics and Econometrics10% of their works
  5. 5Electrical and Electronic Engineering8% of their works
  6. 6Environmental Engineering6% of their works

Research topics

Which keywords describe Daniel Dylewsky's research?

The keywords of their largest research topics: Deep Learning, Early-warning Signals, Regime Shifts, Model Reduction, Partial Differential Equations, Econophysics, Multifractal Analysis and Electricity Price 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.

All 17 words, with their numbers
  1. Deep Learning102 topics
  2. Early-warning Signals91 topic
  3. Regime Shifts91 topic
  4. Model Reduction71 topic
  5. Partial Differential Equations71 topic
  6. Econophysics51 topic
  7. Multifractal Analysis51 topic
  8. Electricity Price Forecasting31 topic
  9. Emergy Analysis31 topic
  10. Load Forecasting31 topic
  11. Urban Metabolism31 topic
  12. Climate Change21 topic
  13. Flow Control21 topic
  14. Human Health21 topic
  15. Invasive Species21 topic
  16. Island Ecosystems21 topic
  17. Vortex-Induced Vibrations21 topic

Where does Daniel Dylewsky work?

Daniel Dylewsky's main affiliation in the publication record is University of Waterloo, Canada.

How many publications and citations does Daniel Dylewsky have?

OpenAlex counts 21 works and 299 citations for Daniel Dylewsky, an h-index of 7, ranking #2,439,473 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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