A M Rassinoux

651 total citations
37 papers, 428 citations indexed

About

A M Rassinoux is a scholar working on Molecular Biology, Artificial Intelligence and Language and Linguistics. According to data from OpenAlex, A M Rassinoux has authored 37 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 31 papers in Artificial Intelligence and 8 papers in Language and Linguistics. Recurrent topics in A M Rassinoux's work include Biomedical Text Mining and Ontologies (31 papers), Natural Language Processing Techniques (17 papers) and Semantic Web and Ontologies (15 papers). A M Rassinoux is often cited by papers focused on Biomedical Text Mining and Ontologies (31 papers), Natural Language Processing Techniques (17 papers) and Semantic Web and Ontologies (15 papers). A M Rassinoux collaborates with scholars based in Switzerland, United States and France. A M Rassinoux's co-authors include Robert Baud, J R Scherrer, Christian Lovis, Patrick Ruch, Pierrette Bouillon, Pierre-André Michel, Antoine Geissbühler, Paul Michel, Béatrice Trombert‐Paviot and Jean-Raoul Scherrer and has published in prestigious journals such as International Journal of Medical Informatics, Artificial Intelligence in Medicine and Methods of Information in Medicine.

In The Last Decade

A M Rassinoux

35 papers receiving 394 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A M Rassinoux Switzerland 12 340 307 89 40 29 37 428
Stefan Schulz Germany 13 475 1.4× 400 1.3× 72 0.8× 41 1.0× 48 1.7× 66 595
A Rector United Kingdom 11 304 0.9× 342 1.1× 197 2.2× 45 1.1× 29 1.0× 16 513
Jean Charlet France 11 241 0.7× 230 0.7× 60 0.7× 23 0.6× 26 0.9× 77 408
R.A. Rocha United States 9 256 0.8× 315 1.0× 168 1.9× 19 0.5× 35 1.2× 17 432
C. G. Chute United States 14 324 1.0× 420 1.4× 175 2.0× 53 1.3× 27 0.9× 22 561
W D Solomon United Kingdom 8 368 1.1× 364 1.2× 91 1.0× 59 1.5× 16 0.6× 14 480
Naomi Sager United States 14 602 1.8× 369 1.2× 100 1.1× 44 1.1× 21 0.7× 42 760
David D. Sherertz United States 11 343 1.0× 398 1.3× 137 1.5× 41 1.0× 27 0.9× 39 497
N E Olson United States 11 202 0.6× 288 0.9× 121 1.4× 29 0.7× 16 0.6× 29 343
J E Rogers United Kingdom 9 184 0.5× 202 0.7× 42 0.5× 36 0.9× 12 0.4× 11 280

Countries citing papers authored by A M Rassinoux

Since Specialization
Citations

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

Fields of papers citing papers by A M Rassinoux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A M Rassinoux. 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 A M Rassinoux. The network helps show where A M Rassinoux may publish in the future.

Co-authorship network of co-authors of A M Rassinoux

This figure shows the co-authorship network connecting the top 25 collaborators of A M Rassinoux. A scholar is included among the top collaborators of A M Rassinoux 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 A M Rassinoux. A M Rassinoux 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
1.
Rassinoux, A M, et al.. (2012). Knowledge Representation and Management: Towards Patient Health Self-management. Yearbook of Medical Informatics. 21(1). 126–129. 1 indexed citations
2.
Rassinoux, A M, et al.. (2011). Knowledge Representation and Management: Benefits and Challenges of the Semantic Web for the Fields of KRM and NLP. Yearbook of Medical Informatics. 20(1). 121–124. 1 indexed citations
3.
Rassinoux, A M, et al.. (2010). Knowledge Representation and Management. Yearbook of Medical Informatics. 19(1). 64–67. 3 indexed citations
4.
Rassinoux, A M, et al.. (2010). Knowledge representation and management: transforming textual information into useful knowledge.. PubMed. 64–7.
5.
Rassinoux, A M, et al.. (2009). Knowledge Representation and Management: Towards Interoperable Medical Terminologies. Yearbook of Medical Informatics. 18(1). 99–102. 1 indexed citations
6.
Rassinoux, A M, et al.. (2008). Decision Support, Knowledge Representation and Management: Structuring Knowledge for Better Access. Yearbook of Medical Informatics. 17(1). 80–82. 6 indexed citations
7.
Rassinoux, A M, et al.. (2007). Coupling ontology driven semantic representation with multilingual natural language generation for tuning international terminologies.. PubMed. 129(Pt 1). 555–9. 2 indexed citations
8.
Rassinoux, A M, Christian Lovis, Robert Baud, & Antoine Geissbühler. (2003). xml as standard for communicating in a document-based electronic patient record: a 3 years experiment. International Journal of Medical Informatics. 70(2-3). 109–115. 10 indexed citations
9.
Ruch, Patrick, et al.. (2001). Looking back or looking all around: comparing two spell checking strategies for documents edition in an electronic patient record.. PubMed. 568–72. 9 indexed citations
10.
Lovis, Christian, et al.. (2001). Conceptual search in electronic patient record.. PubMed. 84(Pt 1). 156–60. 4 indexed citations
11.
Ruch, Patrick, Robert Baud, Antoine Geissbühler, & A M Rassinoux. (2001). Comparing General and Medical Texts for Information Retrieval Based on Natural Language Processing: An Inquiry into Lexical Disambiguation. Studies in health technology and informatics. 84(Pt 1). 261–5. 13 indexed citations
12.
Ruch, Patrick, et al.. (2000). Tagging medical texts: a rule-based experiment.. PubMed. 77. 448–55. 1 indexed citations
13.
Trombert‐Paviot, Béatrice, et al.. (2000). GALEN: a third generation terminology tool to support a multipurpose national coding system for surgical procedures. International Journal of Medical Informatics. 58-59. 71–85. 35 indexed citations
14.
Rassinoux, A M, et al.. (1999). Model-based semantic dictionaries for medical language understanding.. PubMed. 122–6. 1 indexed citations
15.
Rassinoux, A M, et al.. (1998). Tuning Up Conceptual Graph Representation for Multilingual Natural Language Processing in Medicine (Research Note). 390–400. 2 indexed citations
16.
Lovis, Christian, Robert Baud, A M Rassinoux, Pierre-André Michel, & J R Scherrer. (1998). Medical dictionaries for patient encoding systems: a methodology. Artificial Intelligence in Medicine. 14(1-2). 201–214. 34 indexed citations
17.
Baud, Robert, et al.. (1997). Validation of Concept Representation Using Natural Language Generation. Europe PMC (PubMed Central). 841–841. 13 indexed citations
18.
Baud, Robert, A M Rassinoux, Christian Lovis, et al.. (1995). Representing Clinical Narratives Using Conceptual Graphs. Methods of Information in Medicine. 34(01/02). 176–186. 21 indexed citations
19.
Baud, Robert, Christian Lovis, A M Rassinoux, et al.. (1995). Toward a medical linguistic knowledge base.. PubMed. 8 Pt 1. 13–7. 2 indexed citations
20.
Baud, Robert, A M Rassinoux, & J R Scherrer. (1992). Natural Language Processing and Semantical Representation of Medical Texts. Methods of Information in Medicine. 31(2). 117–125. 73 indexed citations

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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