Suzan Verberne

82 papers and 559 indexed citations i.

About

Suzan Verberne is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Suzan Verberne has authored 82 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 25 papers in Information Systems and 11 papers in Molecular Biology. Recurrent topics in Suzan Verberne’s work include Topic Modeling (35 papers), Natural Language Processing Techniques (27 papers) and Advanced Text Analysis Techniques (18 papers). Suzan Verberne is often cited by papers focused on Topic Modeling (35 papers), Natural Language Processing Techniques (27 papers) and Advanced Text Analysis Techniques (18 papers). Suzan Verberne collaborates with scholars based in The Netherlands, United Kingdom and United States. Suzan Verberne's co-authors include Lou Boves, Wessel Kraaij, Maya Sappelli, Nelleke Oostdijk, P.A.J.M. Coppen, Eva D’Hondt, Antal van den Bosch, Karsten Lambers, Anne Dirkson and C. H. A. Koster and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Suzan Verberne i

Fields of papers citing papers by Suzan Verberne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suzan Verberne

Since Specialization
Citations

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