Linda Andersson

11 papers and 757 indexed citations i.

About

Linda Andersson is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Linda Andersson has authored 11 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Molecular Biology and 4 papers in Information Systems. Recurrent topics in Linda Andersson’s work include Biomedical Text Mining and Ontologies (6 papers), Topic Modeling (6 papers) and Web Data Mining and Analysis (4 papers). Linda Andersson is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Topic Modeling (6 papers) and Web Data Mining and Analysis (4 papers). Linda Andersson collaborates with scholars based in Austria, United States and Germany. Linda Andersson's co-authors include Richard Wolfenden, Paul M. Cullis, Christopher Southgate, Fábio Crestani, Allan Hanbury, Tobias Fink, Jon Brassey, Florina Piroi, Ralf Krestel and Michael Andersson and has published in prestigious journals such as Biochemistry, Language Resources and Evaluation and World Patent Information.

In The Last Decade

Co-authorship network of co-authors of Linda Andersson i

Fields of papers citing papers by Linda Andersson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Linda Andersson

Since Specialization
Citations

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