Robert Baud

85 papers receiving 981 citations

Peers

Robert Baud
Comparison fields: 5 of 102
  • Health Information Management 212
  • Anatomy 41
  • Artificial Intelligence 764
  • Issues, ethics and legal aspects 20
  • Language and Linguistics 122
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W. A. Nowlan United Kingdom
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Countries citing papers authored by Robert Baud

Since Specialization
Citations

This map shows the geographic impact of Robert Baud'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 Robert Baud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Baud more than expected).

Fields of papers citing papers by Robert Baud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Baud. 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 Robert Baud. The network helps show where Robert Baud may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert Baud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Baud Line = papers co-authored together Robert Baud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199273
2
Medical document anonymization with a semantic lexicon.
200071
3 200357
4 199844
5 200041
6 200035
7 199934
8 199834
9
Word segmentation processing: a way to exponentially extend medical dictionaries.
199531
10 200430
11 200326
12 200225
13
VUMeF: extending the French involvement in the UMLS Metathesaurus.
200324
14 200522
15 200021
16 199521
17
Automatic extraction of linguistic knowledge from an international classification.
199821
18
Modelling for natural language understanding.
199319
19 199818
20 200018

About Robert Baud

Robert Baud is a scholar working on Anatomy, Health Information Management, Artificial Intelligence, Language and Linguistics and Molecular Biology, having authored 89 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (64 papers), Natural Language Processing Techniques (39 papers), Semantic Web and Ontologies (25 papers), Topic Modeling (22 papers), linguistics and terminology studies (18 papers), Electronic Health Records Systems (11 papers), Medical and Biological Sciences (11 papers) and Medical Coding and Health Information (5 papers). The work is most often cited by research in Health Information Management (212 citations), Anatomy (41 citations), Artificial Intelligence (764 citations), Issues, ethics and legal aspects (20 citations) and Language and Linguistics (122 citations). Robert Baud has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Christian Lovis, A M Rassinoux, Patrick Ruch, J R Scherrer, Antoine Geissbühler, Pierrette Bouillon, Pierre-André Michel, Fiammetta Namer, Jean-Raoul Scherrer and Béatrice Trombert‐Paviot. Their work appears in journals such as International Journal of Medical Informatics, Methods of Information in Medicine, Artificial Intelligence in Medicine, Clinical Anatomy and Journal of the American Medical Informatics Association.

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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