Ksenia Shkaruta

About

Ksenia Shkaruta is a scholar working on Artificial Intelligence, Industrial relations and Aerospace Engineering. According to data from OpenAlex, Ksenia Shkaruta has authored 2 papers receiving a total of 7 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 0 papers in Industrial relations and 0 papers in Aerospace Engineering. Recurrent topics in Ksenia Shkaruta’s work include Topic Modeling (2 papers), Text Readability and Simplification (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). Ksenia Shkaruta is often cited by papers focused on Topic Modeling (2 papers), Text Readability and Simplification (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). Ksenia Shkaruta collaborates with scholars based in United States and Canada. Ksenia Shkaruta's co-authors include Jekaterina Novikova, Aparna Balagopalan and Frank Rudzicz and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Ksenia Shkaruta i

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Fields of papers citing papers by Ksenia Shkaruta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ksenia Shkaruta

Since Specialization

Citations

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