Daan Wierstra

35 papers and 22.0k indexed citations i.

About

Daan Wierstra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Daan Wierstra has authored 35 papers receiving a total of 22.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Daan Wierstra’s work include Reinforcement Learning in Robotics (10 papers), Evolutionary Algorithms and Applications (9 papers) and Neural Networks and Applications (6 papers). Daan Wierstra is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Evolutionary Algorithms and Applications (9 papers) and Neural Networks and Applications (6 papers). Daan Wierstra collaborates with scholars based in Switzerland, United States and United Kingdom. Daan Wierstra's co-authors include Jürgen Schmidhuber, Danilo Jimenez Rezende, Tom Schaul, Faustino Gomez and Yi Sun and has published in prestigious journals such as Nature, Neural Computation and Journal of Machine Learning Research.

In The Last Decade

Fields of papers citing papers by Daan Wierstra

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Daan Wierstra. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daan Wierstra may publish in the future.

Countries citing papers authored by Daan Wierstra

Since Specialization
Citations

This map shows the geographic impact of Daan Wierstra's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daan Wierstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daan Wierstra more than expected).

Rankless by CCL
2025