Louise Deléger

1.7k total citations
46 papers, 844 citations indexed

About

Louise Deléger is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, Louise Deléger has authored 46 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 34 papers in Molecular Biology and 5 papers in Language and Linguistics. Recurrent topics in Louise Deléger's work include Biomedical Text Mining and Ontologies (33 papers), Natural Language Processing Techniques (27 papers) and Topic Modeling (21 papers). Louise Deléger is often cited by papers focused on Biomedical Text Mining and Ontologies (33 papers), Natural Language Processing Techniques (27 papers) and Topic Modeling (21 papers). Louise Deléger collaborates with scholars based in France, United States and Sweden. Louise Deléger's co-authors include Pierre Zweigenbaum, Imre Solti, Todd Lingren, Megan Kaiser, Laura Stoutenborough, Cyril Grouin, Qi Li, Haijun Zhai, Yizhao Ni and Keith Marsolo and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Journal of Medical Internet Research.

In The Last Decade

Louise Deléger

45 papers receiving 811 citations

Peers

Louise Deléger
Comparison fields: 5 of 112
  • Artificial Intelligence 521
  • Molecular Biology 429
  • Health Information Management 113
  • Public Health, Environmental and Occupational Health 67
  • Management Science and Operations Research 46
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Citations per field, relative to Louise Deléger
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Citations per year, relative to Louise Deléger
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Countries citing papers authored by Louise Deléger

Since Specialization
Citations

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

Fields of papers citing papers by Louise Deléger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Louise Deléger

This figure shows the co-authorship network connecting the top 25 collaborators of Louise Deléger. A scholar is included among the top collaborators of Louise Deléger 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 Louise Deléger. Louise Deléger 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 0
2 2
3 5
4 9
5 4
6 19
7
Annotation of specialized corpora using a comprehensive entity and relation scheme
8
8
Automatic Content Extraction for Designing a French Clinical Corpus.
1
9 23
10 38
11
A Supervised Abbreviation Resolution System for Medical Text
6
12 26
13
A Supervised Named-Entity Extraction System for Medical Text.
15
14 59
15 52
16
Extracting Lay Paraphrases of Specialized Expressions from Monolingual Comparable Medical Corpora.
9
17
Identifying Paraphrases between Technical and Lay Corpora.
3
18 39
19
Aligning lay and specialized passages in comparable medical corpora.
2
20 10

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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