Maria Kvist

22 papers and 393 indexed citations i.

About

Maria Kvist is a scholar working on Artificial Intelligence, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Maria Kvist has authored 22 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Molecular Biology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Maria Kvist’s work include Biomedical Text Mining and Ontologies (16 papers), Natural Language Processing Techniques (11 papers) and Topic Modeling (9 papers). Maria Kvist is often cited by papers focused on Biomedical Text Mining and Ontologies (16 papers), Natural Language Processing Techniques (11 papers) and Topic Modeling (9 papers). Maria Kvist collaborates with scholars based in Sweden, United States and Denmark. Maria Kvist's co-authors include Hercules Dalianis, Maria Skeppstedt, Sumithra Velupillai, Aron Henriksson, Gunnar Nilsson, Danielle L. Mowery, Brett R. South, Mike Conway, Wendy W. Chapman and Brian E. Chapman and has published in prestigious journals such as Journal of Biomedical Informatics, Vox Sanguinis and Artificial Intelligence in Medicine.

In The Last Decade

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

Fields of papers citing papers by Maria Kvist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Kvist

Since Specialization
Citations

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