Benjamin Eysenbach

About

Benjamin Eysenbach is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Benjamin Eysenbach has authored 11 papers receiving a total of 137 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 1 paper in Cognitive Neuroscience. Recurrent topics in Benjamin Eysenbach’s work include Reinforcement Learning in Robotics (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (3 papers). Benjamin Eysenbach is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (3 papers). Benjamin Eysenbach collaborates with scholars based in United States and Canada. Benjamin Eysenbach's co-authors include Sergey Levine, Kenney Ng, Walter F. Stewart, Bum Chul Kwon, Adam Perer, Ruslan Salakhutdinov, Chelsea Finn, Abhishek Gupta, Jacob Varley and Karol Hausman and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Benjamin Eysenbach i

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Fields of papers citing papers by Benjamin Eysenbach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benjamin Eysenbach

Since Specialization

Citations

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