Robert Baud

106 papers receiving 1.2k citations

Peers

Robert Baud
Comparison fields: 5 of 95
  • Health Information Management 182
  • Anatomy 35
  • Artificial Intelligence 817
  • Medical Terminology 3
  • Issues, ethics and legal aspects 12
Replace W. A. Nowlan with:
W. A. Nowlan United Kingdom
Stefan Schulz Germany
Naomi Sager United States
Aurélie Névéol France
Jacques Bouaud France
Philip V. Ogren United States
Jean Charlet France
François-Michel Lang United States
P. Le Beux France
James Masanz United States
Robert Baud relative to W. A. Nowlan United Kingdom W. A. Nowlan's profile →
Citations per field
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Citations per year

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 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199291
2
Medical document anonymization with a semantic lexicon.
200078
3 200367
4 199849
5 200047
6 200041
7 199840
8 199938
9
Word segmentation processing: a way to exponentially extend medical dictionaries.
199536
10 200430
11 200230
12 200328
13 199526
14
VUMeF: extending the French involvement in the UMLS Metathesaurus.
200326
15 200325
16 200524
17 200024
18
Automatic extraction of linguistic knowledge from an international classification.
199823
19 200120
20 200020

About Robert Baud

Robert Baud is a scholar working on Molecular Biology, Artificial Intelligence, Health Information Management, Language and Linguistics and Anatomy, having authored 109 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (65 papers), Natural Language Processing Techniques (40 papers), Topic Modeling (29 papers), Semantic Web and Ontologies (25 papers), Electronic Health Records Systems (15 papers), linguistics and terminology studies (14 papers), Medical and Biological Sciences (10 papers) and Medical Coding and Health Information (5 papers). The work is most often cited by research in Health Information Management (182 citations), Anatomy (35 citations), Artificial Intelligence (817 citations), Medical Terminology (3 citations) and Issues, ethics and legal aspects (12 citations). Robert Baud has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include A M Rassinoux, Christian Lovis, Patrick Ruch, J R Scherrer, Antoine Geissbühler, Pierrette Bouillon, Jean-Raoul Scherrer, Pierre-André Michel, Fiammetta Namer and Béatrice Trombert‐Paviot. Their work appears in journals such as International Journal of Medical Informatics, Methods of Information in Medicine, Journal of the American Medical Informatics Association, Artificial Intelligence in Medicine and Clinical Anatomy.

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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