Maria Eskevich

20 papers and 98 indexed citations i.

About

Maria Eskevich is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Maria Eskevich has authored 20 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Maria Eskevich’s work include Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Speech and dialogue systems (7 papers). Maria Eskevich is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Speech and dialogue systems (7 papers). Maria Eskevich collaborates with scholars based in Ireland, The Netherlands and United Kingdom. Maria Eskevich's co-authors include Gareth J. F. Jones, Roeland Ordelman, Ann Clifton, Ben Carterette, Hamed Bonab, Jussi Karlgren, Martha Larson, Sravana Reddy, Yongze Yu and Aasish Pappu and has published in prestigious journals such as Language Resources and Evaluation, Computer Speech & Language and IEEE Multimedia.

In The Last Decade

Co-authorship network of co-authors of Maria Eskevich i

Fields of papers citing papers by Maria Eskevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Eskevich

Since Specialization
Citations

This map shows the geographic impact of Maria Eskevich'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 Maria Eskevich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Eskevich 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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2025