Maria Skeppstedt

26 papers and 322 indexed citations i.

About

Maria Skeppstedt is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Maria Skeppstedt has authored 26 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 13 papers in Molecular Biology and 3 papers in Health Information Management. Recurrent topics in Maria Skeppstedt’s work include Natural Language Processing Techniques (18 papers), Topic Modeling (16 papers) and Biomedical Text Mining and Ontologies (13 papers). Maria Skeppstedt is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (16 papers) and Biomedical Text Mining and Ontologies (13 papers). Maria Skeppstedt collaborates with scholars based in Sweden, Norway and Japan. Maria Skeppstedt's co-authors include Maria Kvist, Hercules Dalianis, Gunnar Nilsson, Aron Henriksson, Vidas Daudaravičius, Hans Moen, Sumithra Velupillai, Andreas Kerren, Danielle L. Mowery and Wendy W. Chapman and has published in prestigious journals such as Journal of Biomedical Informatics, Artificial Intelligence in Medicine and BMC Medical Informatics and Decision Making.

In The Last Decade

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

Fields of papers citing papers by Maria Skeppstedt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Skeppstedt

Since Specialization
Citations

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