Wim De Smet

15 papers and 258 indexed citations i.

About

Wim De Smet is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems and Management. According to data from OpenAlex, Wim De Smet has authored 15 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Information Systems and Management. Recurrent topics in Wim De Smet’s work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Advanced Text Analysis Techniques (4 papers). Wim De Smet is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Advanced Text Analysis Techniques (4 papers). Wim De Smet collaborates with scholars based in Belgium, China and Denmark. Wim De Smet's co-authors include Marie‐Francine Moens, Ivan Vulić, Jie Tang, Peter Dawyndt, Bernard De Baets, Paul de Vos, T. Briers, Guido Verhoeven, Ludo Deboel and Hugo Vanderstichele and has published in prestigious journals such as Endocrinology, BMC Bioinformatics and Systematic and Applied Microbiology.

In The Last Decade

Co-authorship network of co-authors of Wim De Smet i

Fields of papers citing papers by Wim De Smet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wim De Smet. 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 Wim De Smet. The network helps show where Wim De Smet may publish in the future.

Countries citing papers authored by Wim De Smet

Since Specialization
Citations

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