Bart L. R. De Moor

About

Bart L. R. De Moor is a scholar working on Artificial Intelligence, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, Bart L. R. De Moor has authored 17 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 4 papers in Molecular Biology. Recurrent topics in Bart L. R. De Moor’s work include Control Systems and Identification (6 papers), Neural Networks and Applications (5 papers) and Gene expression and cancer classification (4 papers). Bart L. R. De Moor is often cited by papers focused on Control Systems and Identification (6 papers), Neural Networks and Applications (5 papers) and Gene expression and cancer classification (4 papers). Bart L. R. De Moor collaborates with scholars based in Belgium and United States. Bart L. R. De Moor's co-authors include Johan A. K. Suykens, Joos Vandewalle, Gene H. Golub, Nathalie Pochet, Frank De Smet, Marc Moonen, Oscar Barrero, J. Chandrasekar, Dennis S. Bernstein and A. J. Ridley and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Signal Processing and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Bart L. R. De Moor i

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Fields of papers citing papers by Bart L. R. De Moor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bart L. R. De Moor. 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 Bart L. R. De Moor. The network helps show where Bart L. R. De Moor may publish in the future.

Countries citing papers authored by Bart L. R. De Moor

Since Specialization

Citations

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