Question 1

What does Daniel Dylewsky research?

Accepted Answer

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.

Question 2

Which keywords describe Daniel Dylewsky's research?

Accepted Answer

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.

Question 3

Where does Daniel Dylewsky work?

Accepted Answer

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

Question 4

How many publications and citations does Daniel Dylewsky have?

Accepted Answer

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.

Question 5

Is Daniel Dylewsky's h-index high?

Accepted Answer

An h-index of 7 is at or above that of 28% of the 61,006 ranked researchers whose main subfield is Global and Planetary Change, which is in the top 79%.