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Christian Leclère

Christian Leclère publishes mostly in Philosophy, Linguistics and Language and Artificial Intelligence, on topics such as Linguistics and Discourse Analysis, French Language Learning Methods and Natural Language Processing Techniques.

World rank
#714,307
of 1,633,909 ranked researchers
Rank in France
#44,064
of 96,116
Works
15
Citations
9
Citations per work
0.6

What does Christian Leclère research?

Philosophy: 42.9%Linguistics and Language: 28.6%Artificial Intelligence: 14.3%Language and Linguistics: 14.3%43%top field
Philosophy42.9%Linguistics and Language28.6%Artificial Intelligence14.3%Language and Linguistics14.3%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Philosophy43% of their works
  2. 2Linguistics and Language29% of their works
  3. 3Artificial Intelligence14% of their works
  4. 4Language and Linguistics14% of their works

Research topics

Which keywords describe Christian Leclère's research?

The keywords of their largest research topics: Argumentation, Discourse Analysis, Language Education, Multilingualism, Language Teaching, Linguistic Historiography, Neural Machine Translation and Statistical Machine Translation.

Size is their works in the topics tagged with each word, from their 4 largest topics. Each links to the topic it comes from most.

All 8 words, with their numbers
  1. Argumentation31 topic
  2. Discourse Analysis31 topic
  3. Language Education21 topic
  4. Multilingualism21 topic
  5. Language Teaching11 topic
  6. Linguistic Historiography11 topic
  7. Neural Machine Translation11 topic
  8. Statistical Machine Translation11 topic

Where does Christian Leclère work?

Christian Leclère's main affiliation in the publication record is Laboratoire d'Informatique Gaspard-Monge, France.

How many publications and citations does Christian Leclère have?

Science Explorer counts 15 works and 9 citations for Christian Leclère, ranking #714,307 of 1,633,909 researchers worldwide on the composite score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.