Olga Majewska

14 papers and 185 indexed citations i.

About

Olga Majewska is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Olga Majewska has authored 14 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Olga Majewska’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers) and Biomedical Text Mining and Ontologies (3 papers). Olga Majewska is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers) and Biomedical Text Mining and Ontologies (3 papers). Olga Majewska collaborates with scholars based in United Kingdom, United States and Germany. Olga Majewska's co-authors include Anna Korhonen, Ivan Vulić, Edoardo Maria Ponti, Goran Glavašš, Qianchu Liu, Iryna Gurevych, Anne Lauscher, Leonardo F. R. Ribeiro, Simon Baker and Thierry Poibeau and has published in prestigious journals such as Journal of Artificial Intelligence Research, Computational Linguistics and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Olga Majewska i

Fields of papers citing papers by Olga Majewska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Olga Majewska

Since Specialization
Citations

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