Guergana Savova

109 papers and 4.4k indexed citations i.

About

Guergana Savova is a scholar working on Molecular Biology, Artificial Intelligence and Neurology. According to data from OpenAlex, Guergana Savova has authored 109 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 55 papers in Artificial Intelligence and 19 papers in Neurology. Recurrent topics in Guergana Savova’s work include Biomedical Text Mining and Ontologies (57 papers), Topic Modeling (42 papers) and Natural Language Processing Techniques (28 papers). Guergana Savova is often cited by papers focused on Biomedical Text Mining and Ontologies (57 papers), Topic Modeling (42 papers) and Natural Language Processing Techniques (28 papers). Guergana Savova collaborates with scholars based in United States, China and The Netherlands. Guergana Savova's co-authors include Stéphane M. Meystre, John F. Hurdle, Vivian S. Gainer, Christopher G. Chute, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Tianxi Cai, Shawn N. Murphy and Elizabeth W. Karlson and has published in prestigious journals such as Gastroenterology, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Guergana Savova i

Fields of papers citing papers by Guergana Savova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guergana Savova

Since Specialization
Citations

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