Audrūnas Gruslys

12 papers and 1.1k indexed citations i.

About

Audrūnas Gruslys is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Audrūnas Gruslys has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Audrūnas Gruslys’s work include Reinforcement Learning in Robotics (7 papers), Evolutionary Algorithms and Applications (3 papers) and Sports Analytics and Performance (2 papers). Audrūnas Gruslys is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Evolutionary Algorithms and Applications (3 papers) and Sports Analytics and Performance (2 papers). Audrūnas Gruslys collaborates with scholars based in United Kingdom, United States and Germany. Audrūnas Gruslys's co-authors include Marc Lanctot, Joel Z. Leibo, Tom Schaul, John Agapiou, Matej Vecerík, Gabriel Dulac-Arnold, Olivier Pietquin, Ian Osband, Todd Hester and Bilal Piot and has published in prestigious journals such as Nature Communications, Physical Review A and Cerebral Cortex.

In The Last Decade

Co-authorship network of co-authors of Audrūnas Gruslys i

Fields of papers citing papers by Audrūnas Gruslys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Audrūnas Gruslys

Since Specialization
Citations

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