Marija Bačauskienė

63 papers and 1.5k indexed citations i.

About

Marija Bačauskienė is a scholar working on Artificial Intelligence, Signal Processing and Physiology. According to data from OpenAlex, Marija Bačauskienė has authored 63 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 18 papers in Signal Processing and 16 papers in Physiology. Recurrent topics in Marija Bačauskienė’s work include Speech Recognition and Synthesis (16 papers), Music and Audio Processing (16 papers) and Voice and Speech Disorders (16 papers). Marija Bačauskienė is often cited by papers focused on Speech Recognition and Synthesis (16 papers), Music and Audio Processing (16 papers) and Voice and Speech Disorders (16 papers). Marija Bačauskienė collaborates with scholars based in Lithuania, Sweden and United States. Marija Bačauskienė's co-authors include Antanas Verikas, Adas Gelžinis, Evaldas Vaičiukynas, Virgilijus Uloza, Kerstin Malmqvist, Arūnas Lipnickas, Irina Olenina, Sergej Olenin, Rūta Pribuišienė and Viktoras Šaferis and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Marija Bačauskienė i

Fields of papers citing papers by Marija Bačauskienė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marija Bačauskienė

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025