Šarūnas Raudys

33 papers and 1.5k indexed citations i.

About

Šarūnas Raudys is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Šarūnas Raudys has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Šarūnas Raudys’s work include Neural Networks and Applications (20 papers), Face and Expression Recognition (17 papers) and Blind Source Separation Techniques (6 papers). Šarūnas Raudys is often cited by papers focused on Neural Networks and Applications (20 papers), Face and Expression Recognition (17 papers) and Blind Source Separation Techniques (6 papers). Šarūnas Raudys collaborates with scholars based in Lithuania, The Netherlands and United States. Šarūnas Raudys's co-authors include Anil K. Jain, Robert P. W. Duin, Dean M. Young, Françoise Fogelman Soulié, Patrick Gallinari, Marina Skurichina, Bülent Sankur, Yasemin P. Kahya, Aušra Saudargienė and Walter Schmidt and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Šarūnas Raudys i

Fields of papers citing papers by Šarūnas Raudys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Šarūnas Raudys

Since Specialization
Citations

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