Emmanuel Chemla

3.5k citations
93 papers · 1.8k · h-index 27

Impact in

Papers in

Emmanuel Chemla

87 papers receiving 1.7k citations

Peers

Emmanuel Chemla
Comparison fields: 5 of 66
  • Developmental Biology 222
  • Language and Linguistics 767
  • Experimental and Cognitive Psychology 538
  • Developmental and Educational Psychology 535
  • General Decision Sciences 48
Replace Philippe Schlenker with:
Philippe Schlenker France
Jennifer Culbertson United Kingdom
Mutsumi Imai Japan
Inbal Arnon Israel
James R. Hurford United Kingdom
D. Robert Ladd United Kingdom
Jordan Zlatev Sweden
Mónica Tamariz United Kingdom
Leon Bergen United States
Amy Perfors Australia
Emmanuel Chemla relative to Philippe Schlenker France Philippe Schlenker's profile →
Citations per field
00.5×6.9×
Philippe Schlenker · 1×
Citations per year

Countries citing papers authored by Emmanuel Chemla

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Chemla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011100
2 200998
3 200965
4 201564
5 201463
6 200762
7 201359
8 200958
9 201358
10 201657
11 201457
12 201453
13 201153
14 201652
15 201641
16 201241
17 201537
18 201434
19 201933
20 201433

About Emmanuel Chemla

Emmanuel Chemla is a scholar working on Language and Linguistics, Cognitive Neuroscience, Developmental and Educational Psychology, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (26 papers), Neurobiology of Language and Bilingualism (20 papers), Language, Metaphor, and Cognition (18 papers), Animal Vocal Communication and Behavior (17 papers), Language and cultural evolution (16 papers), Natural Language Processing Techniques (16 papers), Child and Animal Learning Development (15 papers) and Language, Discourse, Communication Strategies (11 papers). The work is most often cited by research in Developmental Biology (222 citations), Language and Linguistics (767 citations), Experimental and Cognitive Psychology (538 citations), Developmental and Educational Psychology (535 citations) and General Decision Sciences (48 citations). Emmanuel Chemla has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Philippe Schlenker, Benjamin Spector, Lewis Bott, Paul Marty, Raj Singh, Klaus Zuberbühler, Isabelle Dautriche, Lyn Tieu, Nat Hansen and Kate Arnold. Their work appears in journals such as Linguistics and Philosophy, Journal of Semantics, Natural Language Semantics, Linguistic Inquiry and PLoS ONE.

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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