Elisabeth Dévière

899 citations
3 papers · 693 · 1 hit paper · h-index 2

Impact in

Papers in

Elisabeth Dévière

2 papers receiving 597 citations

Elisabeth Dévière's Hit Papers

Analyzing linguistic data: a practical introduction to statistics using R 2009 · 689 citations
6890+5+11Years since publication200400600

Peers

Elisabeth Dévière
Comparison fields: 5 of 62
  • Experimental and Cognitive Psychology 204
  • Linguistics and Language 64
  • Language and Linguistics 156
  • Developmental and Educational Psychology 142
  • Cognitive Neuroscience 159
Replace Eve Danziger with:
Eve Danziger United States
Leon Bergen United States
Roberto R. Heredia United States
Mitsuhiko Ota United Kingdom
Jacolien van Rij Netherlands
Francesco Vespignani Italy
Florencia Reali Colombia
Isabelle Dautriche France
Paula Rubio‐Fernández Norway
Christophe Coupé France
Elisabeth Dévière relative to Eve Danziger United States Eve Danziger's profile →
Citations per field
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Eve Danziger · 1×
Citations per year

Countries citing papers authored by Elisabeth Dévière

Since Specialization
Citations

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

Fields of papers citing papers by Elisabeth Dévière

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Elisabeth Dévière, 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 Elisabeth Dévière Line = papers co-authored together Elisabeth Dévière links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Analyzing linguistic data: a practical introduction to statistics using R
Hit paper breakdown →
2009689
2 20224
3 20180

About Elisabeth Dévière

Elisabeth Dévière is a scholar working on General Social Sciences, Statistics and Probability, Computational Theory and Mathematics, History and Artificial Intelligence, having authored 3 papers that have together received 693 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (1 paper), Computational and Text Analysis Methods (1 paper), Statistical Methods and Applications (1 paper), Computational Drug Discovery Methods (1 paper), Data Analysis with R (1 paper) and History of Medicine Studies (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (204 citations), Linguistics and Language (64 citations), Language and Linguistics (156 citations), Developmental and Educational Psychology (142 citations) and Cognitive Neuroscience (159 citations). Elisabeth Dévière has collaborated with scholars based in Belgium, Netherlands and United Kingdom. Frequent co-authors include Richard A. Currie, Marjolein Wildwater, Monique van der Voet, Cyrille A. M. Krul, Marvin N. Steijaert, Marc Teunis, Vera van Noort, Raymond H. H. Pieters and Martijn Rooseboom. Their work appears in journals such as Bioinformatics, Journal of Applied Statistics and Lirias.

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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