Georges De Moor

38 papers and 794 indexed citations i.

About

Georges De Moor is a scholar working on Health Information Management, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Georges De Moor has authored 38 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Health Information Management, 14 papers in Molecular Biology and 13 papers in Artificial Intelligence. Recurrent topics in Georges De Moor’s work include Electronic Health Records Systems (15 papers), Biomedical Text Mining and Ontologies (14 papers) and Semantic Web and Ontologies (7 papers). Georges De Moor is often cited by papers focused on Electronic Health Records Systems (15 papers), Biomedical Text Mining and Ontologies (14 papers) and Semantic Web and Ontologies (7 papers). Georges De Moor collaborates with scholars based in Belgium, United Kingdom and Sweden. Georges De Moor's co-authors include Pascal Coorevits, Mats Sundgren, Danielle Dupont, Andreas Schmidt, Brecht Claerhout, Christel Daniel, Martin Dugas, Dipak Kalra, Werner Ceusters and D. Kalra and has published in prestigious journals such as Critical Care, Clinica Chimica Acta and Journal of Internal Medicine.

In The Last Decade

Co-authorship network of co-authors of Georges De Moor i

Fields of papers citing papers by Georges De Moor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Georges De Moor

Since Specialization
Citations

This map shows the geographic impact of Georges 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 Georges 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 Georges 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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