Danijar Hafner

About

Danijar Hafner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Danijar Hafner has authored 14 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Danijar Hafner’s work include Domain Adaptation and Few-Shot Learning (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Multimodal Machine Learning Applications (3 papers). Danijar Hafner is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Multimodal Machine Learning Applications (3 papers). Danijar Hafner collaborates with scholars based in United States, Germany and United Kingdom. Danijar Hafner's co-authors include Vincent Vanhoucke, Tingnan Zhang, Atıl Işçen, Jie Tan, Yunfei Bai, Erwin Coumans, Steven Bohez, Timothy Lillicrap, James Davidson and Honglak Lee and has published in prestigious journals such as Nature, Neural Computation and AI Communications.

In The Last Decade

Co-authorship network of co-authors of Danijar Hafner i

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Fields of papers citing papers by Danijar Hafner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danijar Hafner. 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 Danijar Hafner. The network helps show where Danijar Hafner may publish in the future.

Countries citing papers authored by Danijar Hafner

Since Specialization

Citations

This map shows the geographic impact of Danijar Hafner'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 Danijar Hafner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danijar Hafner 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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