Luisa Zintgraf

About

Luisa Zintgraf is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Luisa Zintgraf has authored 7 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Luisa Zintgraf’s work include Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Reinforcement Learning in Robotics (2 papers). Luisa Zintgraf is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Reinforcement Learning in Robotics (2 papers). Luisa Zintgraf collaborates with scholars based in United Kingdom, The Netherlands and United States. Luisa Zintgraf's co-authors include Taco Cohen, Max Welling, Tameem Adel, Diederik M. Roijers, Matthew D Macfarlane, Timothy Verstraeten, Ann Nowé, Marcello Restelli, Peter Vamplew and Fredrik Heintz and has published in prestigious journals such as BMC Bioinformatics, Journal of Machine Learning Research and Autonomous Agents and Multi-Agent Systems.

In The Last Decade

Co-authorship network of co-authors of Luisa Zintgraf i

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Fields of papers citing papers by Luisa Zintgraf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Luisa Zintgraf

Since Specialization

Citations

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