Lyudmila Shagina

10 papers and 672 indexed citations i.

About

Lyudmila Shagina is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Lyudmila Shagina has authored 10 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Molecular Biology and 3 papers in Health Information Management. Recurrent topics in Lyudmila Shagina’s work include Biomedical Text Mining and Ontologies (8 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (3 papers). Lyudmila Shagina is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (3 papers). Lyudmila Shagina collaborates with scholars based in United States. Lyudmila Shagina's co-authors include George Hripcsak, Carol Friedman, Yves A. Lussier, C Friedman, Hongliang Liu, Elaine Larson, Janet Haas, Charles Knirsch, Hongfang Liu and Stephen B. Johnson and has published in prestigious journals such as Bioinformatics, Journal of the American Medical Informatics Association and Journal of Biomedical Informatics.

In The Last Decade

Co-authorship network of co-authors of Lyudmila Shagina i

Fields of papers citing papers by Lyudmila Shagina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lyudmila Shagina

Since Specialization
Citations

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