Question 1

What does Daniel Kudenko⋆ research?

Accepted Answer

Daniel Kudenko⋆ publishes mostly in Artificial Intelligence, Computer Networks and Communications and Information Systems, on topics such as Reinforcement Learning in Robotics, Evolutionary Algorithms and Applications and Artificial Intelligence in Games.

Question 2

Which keywords describe Daniel Kudenko⋆'s research?

Accepted Answer

The keywords of their largest research topics: Multi-Agent Systems, Deep Learning, Reinforcement Learning, Evolutionary Algorithms, Genetic Programming, Machine Learning, Monte Carlo Tree Search and Procedural Content Generation.

Question 3

Where does Daniel Kudenko⋆ work?

Accepted Answer

Daniel Kudenko⋆'s main affiliation in the publication record is University of York, United Kingdom.

Question 4

How many publications and citations does Daniel Kudenko⋆ have?

Accepted Answer

OpenAlex counts 230 works and 3,295 citations for Daniel Kudenko⋆, an h-index of 32, ranking #455,272 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Daniel Kudenko⋆'s h-index high?

Accepted Answer

An h-index of 32 is at or above that of 96% of the 146,054 ranked researchers whose main subfield is Artificial Intelligence, which is in the top 4%.