Jurgita Kapočiūtė-Dzikienė

About

Jurgita Kapočiūtė-Dzikienė is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Jurgita Kapočiūtė-Dzikienė has authored 28 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 5 papers in Materials Chemistry. Recurrent topics in Jurgita Kapočiūtė-Dzikienė’s work include Topic Modeling (15 papers), Natural Language Processing Techniques (13 papers) and Sentiment Analysis and Opinion Mining (7 papers). Jurgita Kapočiūtė-Dzikienė is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (13 papers) and Sentiment Analysis and Opinion Mining (7 papers). Jurgita Kapočiūtė-Dzikienė collaborates with scholars based in Lithuania, Latvia and Germany. Jurgita Kapočiūtė-Dzikienė's co-authors include Robertas Damaševičius, Marcin Woźniak, Tomas Krilavičius, Algimantas Venčkauskas, Mantas Lukoševičius, Ka Lok Man, Walter Daelemans, Christian Napoli, Sheng Guan and Minija Tamošiūnaitė and has published in prestigious journals such as Molecules, The International Journal of Robotics Research and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Jurgita Kapočiūtė-Dzikienė i

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Fields of papers citing papers by Jurgita Kapočiūtė-Dzikienė

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jurgita Kapočiūtė-Dzikienė. 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 Jurgita Kapočiūtė-Dzikienė. The network helps show where Jurgita Kapočiūtė-Dzikienė may publish in the future.

Countries citing papers authored by Jurgita Kapočiūtė-Dzikienė

Since Specialization

Citations

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