Jackie Kay

About

Jackie Kay is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jackie Kay has authored 8 papers receiving a total of 39 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Cognitive Neuroscience and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jackie Kay’s work include Reinforcement Learning in Robotics (2 papers), Robot Manipulation and Learning (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Jackie Kay is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Robot Manipulation and Learning (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Jackie Kay collaborates with scholars based in United Kingdom and United States. Jackie Kay's co-authors include Francesco Nori, Yusuf Aytar, Thomas Lampe, Konstantinos Bousmalis, Kevin R. McKee, Daniel J. Mankowitz, Mel Vecerík, Raia Hadsell, Lourdes Agapito and Yuanyuan Shi and has published in prestigious journals such as Feminist Review, Wasafiri and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Jackie Kay i

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Fields of papers citing papers by Jackie Kay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jackie Kay

Since Specialization

Citations

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