Tinne De Laet

70 papers and 1.1k indexed citations i.

About

Tinne De Laet is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Tinne De Laet has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 16 papers in Artificial Intelligence and 14 papers in Computer Science Applications. Recurrent topics in Tinne De Laet’s work include Online Learning and Analytics (14 papers), Robot Manipulation and Learning (14 papers) and E-Learning and Knowledge Management (8 papers). Tinne De Laet is often cited by papers focused on Online Learning and Analytics (14 papers), Robot Manipulation and Learning (14 papers) and E-Learning and Knowledge Management (8 papers). Tinne De Laet collaborates with scholars based in Belgium, Ecuador and Chile. Tinne De Laet's co-authors include Joris De Schutter, Herman Bruyninckx, Katrien Verbert, Ilse Jonkers, Friedl De Groote, Ruben Smits, Kaat Desloovere, Erwin Aertbeliën, Kasper Claes and Carolien Van Soom and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Biomechanics.

In The Last Decade

Co-authorship network of co-authors of Tinne De Laet i

Fields of papers citing papers by Tinne De Laet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tinne De Laet

Since Specialization
Citations

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