Ekaterina Shutova

53 papers and 1.1k indexed citations i.

About

Ekaterina Shutova is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ekaterina Shutova has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 26 papers in Experimental and Cognitive Psychology and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ekaterina Shutova’s work include Natural Language Processing Techniques (30 papers), Language, Metaphor, and Cognition (26 papers) and Topic Modeling (25 papers). Ekaterina Shutova is often cited by papers focused on Natural Language Processing Techniques (30 papers), Language, Metaphor, and Cognition (26 papers) and Topic Modeling (25 papers). Ekaterina Shutova collaborates with scholars based in United Kingdom, The Netherlands and United States. Ekaterina Shutova's co-authors include Anna Korhonen, Simone Teufel, Douwe Kiela, Lin Sun, Jean Maillard, Helen Yannakoudakis, Pushkar Mishra, Marek Rei, Guofu Li and John A. Barnden and has published in prestigious journals such as PLoS ONE, Computational Linguistics and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Ekaterina Shutova i

Fields of papers citing papers by Ekaterina Shutova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ekaterina Shutova

Since Specialization
Citations

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