Minija Tamošiūnaitė

46 papers and 599 indexed citations i.

About

Minija Tamošiūnaitė is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Minija Tamošiūnaitė has authored 46 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Cognitive Neuroscience and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Minija Tamošiūnaitė’s work include Robot Manipulation and Learning (15 papers), Human Pose and Action Recognition (8 papers) and Multimodal Machine Learning Applications (7 papers). Minija Tamošiūnaitė is often cited by papers focused on Robot Manipulation and Learning (15 papers), Human Pose and Action Recognition (8 papers) and Multimodal Machine Learning Applications (7 papers). Minija Tamošiūnaitė collaborates with scholars based in Germany, Lithuania and United Kingdom. Minija Tamošiūnaitė's co-authors include Florentin Wörgötter, Tomas Kulvičius, Paul A. Dudchenko, James A. Ainge, Aleš Ude, Eren Erdal Aksoy, KeJun Ning, Florentin Wörgötter, Bojan Nemec and Justus Piater and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Minija Tamošiūnaitė i

Fields of papers citing papers by Minija Tamošiūnaitė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Minija Tamošiūnaitė

Since Specialization
Citations

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