Marie Candito

1.2k total citations
14 papers, 147 citations indexed

About

Marie Candito is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Marie Candito has authored 14 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Language and Linguistics. Recurrent topics in Marie Candito's work include Natural Language Processing Techniques (14 papers), Topic Modeling (10 papers) and Text Readability and Simplification (6 papers). Marie Candito is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (10 papers) and Text Readability and Simplification (6 papers). Marie Candito collaborates with scholars based in France, Ireland and Germany. Marie Candito's co-authors include Djamé Seddah, Jennifer Foster, Ines Rehbein, Sandra Kuebler, Reut Tsarfaty, Lamia Tounsi, Yannick Versley, Yoav Goldberg, Grzegorz Chrupała and Josef van Genabith and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and Journal of Logic and Computation.

In The Last Decade

Marie Candito

14 papers receiving 129 citations

Peers

Marie Candito
Comparison fields: 5 of 18
  • Artificial Intelligence 140
  • Computer Vision and Pattern Recognition 13
  • Molecular Biology 9
  • Information Systems 9
  • Language and Linguistics 7
Replace Ioannis P. Klapaftis with:
Ioannis P. Klapaftis United Kingdom
Wolfgang Seeker Germany
Miryam de Lhoneux Sweden
Hugo Hernault Japan
Detlef Prescher Germany
Daniela Gerz United Kingdom
Clara I. Cabezas United States
Aurélien Max France
Shiva Taslimipoor United Kingdom
Irina Matveeva United States
Ioannis P. Klapaftis United Kingdom View profile →
Citations per field, relative to Marie Candito
Marie Candito · 1×
Citations per year, relative to Marie Candito
Marie Candito · 1×

Countries citing papers authored by Marie Candito

Since Specialization
Citations

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

Fields of papers citing papers by Marie Candito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Candito

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Candito. A scholar is included among the top collaborators of Marie Candito 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 Marie Candito. Marie Candito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 1
2 15
3 3
4
Proceedings of the 17th International Workshop on Treebanks and Linguistic Theories (TLT 2018), December 13–14, 2018, Oslo University, Norway
1
5 8
6 2
7
Ubiquitous Usage of a Broad Coverage French Corpus: Processing the Est Republicain corpus
2
8
Le corpus Sequoia : annotation syntaxique et exploitation pour l'adaptation d'analyseur par pont lexical (The Sequoia Corpus : Syntactic Annotation and Use for a Parser Lexical Domain Adaptation Method) [in French]
3
9
Lemmatization and Lexicalized Statistical Parsing of Morphologically-Rich Languages: the Case of French
11
10
Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither
67
11
Parsing Word Clusters
16
12
Lemmatization and Statistical Lexicalized Parsing of Morphologically-Rich Languages
4
13 6
14 8

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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