Anna Nedoluzhko

8 papers and 49 indexed citations i.

About

Anna Nedoluzhko is a scholar working on Artificial Intelligence, Language and Linguistics and Literature and Literary Theory. According to data from OpenAlex, Anna Nedoluzhko has authored 8 papers receiving a total of 49 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Language and Linguistics and 1 paper in Literature and Literary Theory. Recurrent topics in Anna Nedoluzhko’s work include Natural Language Processing Techniques (7 papers), Topic Modeling (5 papers) and Authorship Attribution and Profiling (3 papers). Anna Nedoluzhko is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (5 papers) and Authorship Attribution and Profiling (3 papers). Anna Nedoluzhko collaborates with scholars based in Czechia, United States and Belgium. Anna Nedoluzhko's co-authors include Michal Novák, Jiří Mírovský, Zdeněk Žabokrtský, Ludivine Crible, Eva Hajičová, Silvie Cinková, Petr Pajas and Jaroslava Hlaváčová and has published in prestigious journals such as Journal of Pragmatics, Language Resources and Evaluation and Meeting of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Anna Nedoluzhko i

Fields of papers citing papers by Anna Nedoluzhko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anna Nedoluzhko

Since Specialization
Citations

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