Kyriacos Shiarlis

About

Kyriacos Shiarlis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Kyriacos Shiarlis has authored 7 papers receiving a total of 68 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 Biomedical Engineering. Recurrent topics in Kyriacos Shiarlis’s work include Reinforcement Learning in Robotics (5 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Multimodal Machine Learning Applications (2 papers). Kyriacos Shiarlis is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Multimodal Machine Learning Applications (2 papers). Kyriacos Shiarlis collaborates with scholars based in United Kingdom, The Netherlands and United States. Kyriacos Shiarlis's co-authors include Shimon Whiteson, Maximilian Igl, Frans A. Oliehoek, Xi Chen, Vitaly Kurin, João P. P. Gomes, Markus Wulfmeier, Alex Kuefler, Mark Palatucci and Dae Woo Kim and has published in prestigious journals such as Journal of Machine Learning Research, Oxford University Research Archive (ORA) (University of Oxford) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Kyriacos Shiarlis i

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Fields of papers citing papers by Kyriacos Shiarlis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kyriacos Shiarlis

Since Specialization

Citations

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