Galia Angelova

25 papers and 888 indexed citations i.

About

Galia Angelova is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Galia Angelova has authored 25 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Molecular Biology and 5 papers in Information Systems. Recurrent topics in Galia Angelova’s work include Biomedical Text Mining and Ontologies (8 papers), Natural Language Processing Techniques (7 papers) and Topic Modeling (5 papers). Galia Angelova is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), Natural Language Processing Techniques (7 papers) and Topic Modeling (5 papers). Galia Angelova collaborates with scholars based in Bulgaria, United States and Australia. Galia Angelova's co-authors include Gennady Agre, Darina Dicheva, Christo Dichev, Svetla Boytcheva, Ruslan Mitkov, Nicolas Nicolov, Ivelina Nikolova, Preslav Nakov, Momchil Hardalov and Jaime Carbonell and has published in prestigious journals such as PLoS ONE, Lecture notes in computer science and Educational Technology & Society.

In The Last Decade

Co-authorship network of co-authors of Galia Angelova i

Fields of papers citing papers by Galia Angelova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Galia Angelova

Since Specialization
Citations

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