Cédrick Fairon

1.2k citations
74 papers · 903 · h-index 15

Impact in

    • Natural Language Processing Techniques
    • Text Readability and Simplification
    • Machine Learning in Healthcare
    • Topic Modeling
    • Sentiment Analysis and Opinion Mining
    • Digital Communication and Language

Papers in

Cédrick Fairon

67 papers receiving 806 citations

Peers

Cédrick Fairon
Comparison fields: 5 of 32
  • Artificial Intelligence 407
  • Human-Computer Interaction 45
  • Toxicology 20
  • Linguistics and Language 18
  • General Social Sciences 7
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Citations per field
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Citations per year

Countries citing papers authored by Cédrick Fairon

Since Specialization
Citations

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

Fields of papers citing papers by Cédrick Fairon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
At Last Parsing Is Now Operational
2006135
2
An “AI readability ” formula for French as a foreign language
201386
3
A Hybrid Rule/Model-Based Finite-State Framework for Normalizing SMS Messages
201079
4 201279
5 201653
6 200629
7
Machine learning and features selection for semi-automatic ICD-9-CM encoding
201026
8 201426
9
SMS Communication: A Linguistic Approach
201426
10 201626
11 201522
12
Une approche hybride traduction/correction pour la normalisation des SMS
201021
13
Coherence and Cohesion for the Assessment of Text Readability
201320
14 201319
15
Le Poids des mots. Actes des 7es Journées internationales d’Analyse Statistique des Données Textuelles (JADT 2004)
200417
16
Le poids des mots
200415
17 201314
18
Extraction of Semantic Relations between Concepts with KNN Algorithms on Wikipedia
201212
19
Verbum ex machina. Actes de la 13e conférence sur le traitement automatique des langues naturelles.
200611
20 201711

About Cédrick Fairon

Cédrick Fairon is a scholar working on Artificial Intelligence, Human-Computer Interaction, Developmental and Educational Psychology, Language and Linguistics and General Social Sciences, having authored 74 papers that have together received 903 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (22 papers), Digital Communication and Language (10 papers), Text Readability and Simplification (6 papers), Second Language Acquisition and Learning (5 papers), Sentiment Analysis and Opinion Mining (3 papers), Lexicography and Language Studies (1 paper), Computational and Text Analysis Methods (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Artificial Intelligence (407 citations), Human-Computer Interaction (45 citations), Toxicology (20 citations), Linguistics and Language (18 citations) and General Social Sciences (7 citations). Cédrick Fairon has collaborated with scholars based in Belgium, France and United Kingdom. Frequent co-authors include Thomas François, Louise‐Amélie Cougnon, Sophie Roekhaut, Patrick Watrin, Piet Mertens, Gertjan van Noord, Nigam Haresh Shah, Paea LePendu, Srinivasan V. Iyer and Alexander Panchenko. Their work appears in journals such as Language Resources and Evaluation, Language & Communication, Journal of Biomedical Semantics, Journal of French Language Studies and Lecture notes in computer science.

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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