Georges De Moor

1.6k total citations
51 papers, 927 citations indexed

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 51 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Health Information Management, 18 papers in Molecular Biology and 18 papers in Artificial Intelligence. Recurrent topics in Georges De Moor's work include Electronic Health Records Systems (19 papers), Biomedical Text Mining and Ontologies (18 papers) and Semantic Web and Ontologies (9 papers). Georges De Moor is often cited by papers focused on Electronic Health Records Systems (19 papers), Biomedical Text Mining and Ontologies (18 papers) and Semantic Web and Ontologies (9 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, Werner Ceusters, Brecht Claerhout, Martin Dugas, Christel Daniel, D. Kalra and Dipak Kalra and has published in prestigious journals such as Critical Care, Clinica Chimica Acta and Journal of Internal Medicine.

In The Last Decade

Georges De Moor

49 papers receiving 863 citations

Peers

Georges De Moor
Comparison fields: 5 of 108
  • Health Information Management 309
  • Artificial Intelligence 279
  • Molecular Biology 248
  • Public Health, Environmental and Occupational Health 208
  • General Health Professions 104
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Citations per field, relative to Georges De Moor
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Citations per year, relative to Georges De Moor
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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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Georges De Moor. A scholar is included among the top collaborators of Georges De Moor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Georges De Moor. Georges De Moor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 7
3
Case report from the EHR4CR project—A European survey on electronic health records systems for clinical research
7
4 29
5 15
6
Introducing Realist Ontology for the Representation of Adverse Events
12
7 26
8 39
9 41
10
Towards global consensus and cooperation in health informatics and telematics standardisation
2
11 19
12 3
13 1
14
The distinction between linguistic and conceptual semantics in medical terminology and its implication for NLP-based knowledge acquisition
2
15
Beveiligingsaspecten met betrekking tot elektronische medische gegevens
1
16
Arguments en faveur de la reconnaissance de la valeur juridique de la signature électronique
2
17
Automated extraction of neurological procedure expressions from full text reports: the MULTI-TALE experience
1
18
Co-operative health information networks "CHIN"
1
19 2
20 1

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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