Pierre Zweigenbaum

4.9k citations
165 papers · 2.5k indexed · h-index 24

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Semantic Web and Ontologies
    • Advanced Text Analysis Techniques
    • Machine Learning in Healthcare
    • Text Readability and Simplification

Papers in

    • Natural Language Processing Techniques 115
    • Topic Modeling 77
    • Semantic Web and Ontologies 38
    • Text Readability and Simplification 17
    • Speech and dialogue systems 7
    • Advanced Text Analysis Techniques 7
    • linguistics and terminology studies 22

Pierre Zweigenbaum

161 papers receiving 2.3k citations

Peers

Pierre Zweigenbaum
Comparison fields: 5 of 128
  • Artificial Intelligence 2.0k
  • Health Informatics 65
  • Health Information Management 159
  • Molecular Biology 1.4k
  • Language and Linguistics 166
Replace Stefan Schulz with:
Stefan Schulz Germany
Philip V. Ogren United States
Alan R. Aronson United States
Thomas C. Rindflesch United States
Anna Rumshisky United States
Guergana Savova United States
Hercules Dalianis Sweden
D. A. B. Lindberg United States
Aurélie Névéol France
James Masanz United States
Pierre Zweigenbaum relative to Stefan Schulz Germany Stefan Schulz's profile →
Citations per field
00.5×1.5×1.9×
Stefan Schulz · 1×
Citations per year

Countries citing papers authored by Pierre Zweigenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Zweigenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pierre Zweigenbaum, 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 Pierre Zweigenbaum Line = papers co-authored together Pierre Zweigenbaum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20175
2
Translational Morphosyntax: Distribution of Negation in Clinical Records and Biomedical Journal Articles.
20176
3
Adverse Reaction Identification Driven by Semantic Information.
20171
4
Transfer-Based Learning-to-Rank Assessment of Medical Term Technicality
20164
5
A Dataset for ICD-10 Coding of Death Certificates: Creation and Usage
20164
6
MEANS : une approche sémantique pour la recherche de réponses aux questions médicales
20142
7
LIMSI @ 2014 Clinical Decision Support Track
20141
8
Language Resources for French in the Biomedical Domain
201412
9
Multilingual Named-Entity Recognition from Parallel Corpora.
20131
10
An Overview of Terminological Resources available for French bioNLP.
20131
11
A Supervised Abbreviation Resolution System for Medical Text
20136
12
Analyse et transformation des questions médicales en requêtes SPARQL
20121
13
Structured and Extended Named Entity Evaluation in Automatic Speech Transcriptions
20116
14
Identifying Paraphrases between Technical and Lay Corpora.
20103
15
Aligning lay and specialized passages in comparable medical corpora.
20082
16
Construction of a dictionary of laboratory tests mapped to LOINC at AP-HP.
20082
17
A Study of the Adequacy of User and Indexing Vocabularies in Natural Language Queries to a MeSH-indexed Health Gateway
20021
18
Automatic acquisition of domain-specific morphological resources from thesauri
20008
19
Extending an existing specialized semantic lexicon
19987
20
Extracting implicit information from free text technical reports.
19912

About Pierre Zweigenbaum

Pierre Zweigenbaum is a scholar working on Artificial Intelligence, Language and Linguistics, Health Information Management, Molecular Biology and Health Informatics, having authored 165 papers that have together received 2.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (115 papers), Biomedical Text Mining and Ontologies (111 papers), Topic Modeling (77 papers), Semantic Web and Ontologies (38 papers), linguistics and terminology studies (22 papers), Text Readability and Simplification (17 papers), Speech and dialogue systems (7 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Health Informatics (65 citations), Health Information Management (159 citations), Molecular Biology (1.4k citations) and Language and Linguistics (166 citations). Pierre Zweigenbaum has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Asma Ben Abacha, Cyril Grouin, Louise Deléger, Natalia Grabar, Dina Demner‐Fushman, Hong Yu, K. B. Cohen, Aurélie Névéol, Hercules Dalianis and Guergana Savova. Their work appears in journals such as Language Resources and Evaluation, Yearbook of Medical Informatics, International Journal of Medical Informatics, Journal of Biomedical Informatics 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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