Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Is numerical comparison digital? Analogical and symbolic effects in two-digit number comparison.
Countries citing papers authored by Emmanuel Dupoux
Since
Specialization
Citations
This map shows the geographic impact of Emmanuel Dupoux'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 Dupoux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Dupoux more than expected).
This network shows the impact of papers produced by Emmanuel Dupoux. 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 Dupoux. The network helps show where Emmanuel Dupoux may publish in the future.
Co-authorship network of co-authors of Emmanuel Dupoux
This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Dupoux.
A scholar is included among the top collaborators of Emmanuel Dupoux 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 Emmanuel Dupoux. Emmanuel Dupoux is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dunbar, Ewan, et al.. (2021). The Interspeech Zero Resource Speech Challenge 2021: Spoken language modelling.. arXiv (Cornell University).1 indexed citations
Fourtassi, Abdellah & Emmanuel Dupoux. (2019). Phoneme learning is influenced by the taxonomic similarity of the semantic referents.. Cognitive Science. 323–329.1 indexed citations
Synnaeve, Gabriel & Emmanuel Dupoux. (2015). Weakly Supervised Multi-Embeddings Learning of Acoustic Models.. International Conference on Learning Representations.1 indexed citations
16.
Ludusan, Bogdan & Emmanuel Dupoux. (2015). A multilingual study on intensity as a cue for marking prosodic boundaries.. ICPhS.2 indexed citations
17.
Dunbar, Ewan, Gabriel Synnaeve, & Emmanuel Dupoux. (2015). Quantitative methods for comparing featural representations.. ICPhS.5 indexed citations
18.
Synnaeve, Gabriel, Isabelle Dautriche, Benjamin Börschinger, Mark Johnson, & Emmanuel Dupoux. (2014). Unsupervised Word Segmentation in Context. International Conference on Computational Linguistics. 2326–2334.4 indexed citations
Dupoux, Emmanuel. (2001). Language, brain, and cognitive development : essays in honor of Jacques Mehler. MIT Press eBooks.245 indexed citations
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.