Frederik Ebert

About

Frederik Ebert is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Frederik Ebert has authored 3 papers receiving a total of 13 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Frederik Ebert’s work include Reinforcement Learning in Robotics (2 papers), Multimodal Machine Learning Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Frederik Ebert is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Multimodal Machine Learning Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Frederik Ebert collaborates with scholars based in United States. Frederik Ebert's co-authors include Alex X. Lee, Sudeep Dasari, Sergey Levine, Chelsea Finn, Dinesh Jayaraman, Karl Pertsch, Stephen Tian, Suraj Nair and Benjamin Eysenbach and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Frederik Ebert

This figure shows the co-authorship network connecting the top 25 collaborators of Frederik Ebert. A scholar is included among the top collaborators of Frederik Ebert 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 Frederik Ebert. Frederik Ebert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Frederik Ebert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Frederik Ebert

Since Specialization

Citations

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