Daan Wierstra

28 papers and 18.1k 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 28 papers receiving a total of 18.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Daan Wierstra’s work include Reinforcement Learning in Robotics (10 papers), Evolutionary Algorithms and Applications (7 papers) and Neural Networks and Applications (5 papers). Daan Wierstra is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Evolutionary Algorithms and Applications (7 papers) and Neural Networks and Applications (5 papers). Daan Wierstra collaborates with scholars based in Switzerland, United States and United Kingdom. Daan Wierstra's co-authors include David Silver, Koray Kavukcuoglu, Alex Graves, Demis Hassabis, Charles Beattie, Andrei A. Rusu, Shane Legg, Ioannis Antonoglou, Joel Veness and Volodymyr Mnih and has published in prestigious journals such as Nature, Neural Computation and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Daan Wierstra

This figure shows the co-authorship network connecting the top 25 collaborators of Daan Wierstra. A scholar is included among the top collaborators of Daan Wierstra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daan Wierstra. Daan Wierstra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Daan Wierstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daan Wierstra. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daan Wierstra. 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 uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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