Isabelle Dautriche

1.6k citations
34 papers · 708 indexed · 1 hit paper · h-index 14
Topics
Language Development and Disorders (17 papers)Child and Animal Learning Development (15 papers)Reading and Literacy Development (12 papers)

In The Last Decade

Isabelle Dautriche

30 papers receiving 688 citations

Hit Papers

How Efficiency Shapes Human Language2019202620212023201950100150200250

Peers

Isabelle Dautriche
Comparison fields: 5 of 52
  • Developmental and Educational Psychology 333
  • Artificial Intelligence 225
  • Experimental and Cognitive Psychology 200
  • Cognitive Neuroscience 178
  • Cultural Studies 176
Replace Melody Dye with:
Melody Dye United States
Toben H. Mintz United States
Chigusa Kurumada United States
Ljiljana Progovac United States
Vered Vaknin‐Nusbaum Israel
Limor Raviv Netherlands
Todd M. Bailey United Kingdom
Christine Cuskley United Kingdom
Lyle Jenkins Austria
Dave Kleinschmidt United States
Isabelle Dautriche relative to Melody Dye United States Melody Dye's profile →
Citations per field
00.5×8.8×
Melody Dye · 1×
Citations per year

Countries citing papers authored by Isabelle Dautriche

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Dautriche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Dautriche

This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle Dautriche. A scholar is included among the top collaborators of Isabelle Dautriche 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 Isabelle Dautriche. Isabelle Dautriche 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
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 1
6 2
7 0
8 1
9 7
10 6
11 8
12 1
13 4
14 37
15 31
16 6
17 32
18 46
19
Unsupervised Word Segmentation in Context
4
20 26

About Isabelle Dautriche

Isabelle Dautriche is a scholar working on Developmental and Educational Psychology, Cultural Studies and Developmental Biology, having authored 34 papers that have together received 708 indexed citations. Recurring topics across this work include Language Development and Disorders (17 papers), Child and Animal Learning Development (15 papers) and Reading and Literacy Development (12 papers). The work is most often cited by research in Developmental and Educational Psychology (333 citations), Cultural Studies (176 citations) and Experimental and Cognitive Psychology (200 citations). Isabelle Dautriche has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Anne Christophe, Edward Gibson, Kyle Mahowald, Steven T. Piantadosi, Leon Bergen, Richard Futrell, Roger Lévy, Emmanuel Chemla, Alex de Carvalho and Daniel Swingley. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Child Development.

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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