Aymeric Daval-Markussen

620 total citations
10 papers, 131 citations indexed

About

Aymeric Daval-Markussen is a scholar working on Linguistics and Language, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, Aymeric Daval-Markussen has authored 10 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Linguistics and Language, 4 papers in Language and Linguistics and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Aymeric Daval-Markussen's work include Linguistic Variation and Morphology (7 papers), Syntax, Semantics, Linguistic Variation (4 papers) and Language and cultural evolution (3 papers). Aymeric Daval-Markussen is often cited by papers focused on Linguistic Variation and Morphology (7 papers), Syntax, Semantics, Linguistic Variation (4 papers) and Language and cultural evolution (3 papers). Aymeric Daval-Markussen collaborates with scholars based in Denmark, Iran and Australia. Aymeric Daval-Markussen's co-authors include Peter Bakker, Ingo Plag, Mikael Parkvall, Hartmut Haberland, Joshua Nash and Carsten Levisen and has published in prestigious journals such as English World-Wide A Journal of Varieties of English, Journal of Pidgin and Creole Languages and Studies in African Linguistics.

In The Last Decade

Aymeric Daval-Markussen

9 papers receiving 116 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aymeric Daval-Markussen Denmark 5 110 80 39 19 7 10 131
Rik van Gijn Netherlands 7 62 0.6× 78 1.0× 35 0.9× 37 1.9× 5 0.7× 32 129
Ross Clark New Zealand 7 98 0.9× 88 1.1× 20 0.5× 44 2.3× 8 1.1× 15 159
Hugo Schuchardt 6 88 0.8× 92 1.1× 31 0.8× 42 2.2× 8 1.1× 12 145
Thiago Costa Chacon Brazil 7 45 0.4× 60 0.8× 52 1.3× 21 1.1× 2 0.3× 18 126
Carl Rubino 6 54 0.5× 79 1.0× 14 0.4× 42 2.2× 8 1.1× 13 128
Ioanna Sitaridou United Kingdom 9 69 0.6× 130 1.6× 11 0.3× 28 1.5× 7 1.0× 23 154
Valentin Vydrin France 5 49 0.4× 73 0.9× 13 0.3× 30 1.6× 7 1.0× 39 98
Stephen A. Marlett United States 8 102 0.9× 140 1.8× 15 0.4× 64 3.4× 5 0.7× 60 188
Brigitte L. M. Bauer United States 7 62 0.6× 153 1.9× 16 0.4× 45 2.4× 6 0.9× 24 176
Susanne Mühleisen Germany 8 90 0.8× 95 1.2× 17 0.4× 9 0.5× 27 3.9× 23 160

Countries citing papers authored by Aymeric Daval-Markussen

Since Specialization
Citations

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

Fields of papers citing papers by Aymeric Daval-Markussen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aymeric Daval-Markussen. 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 Aymeric Daval-Markussen. The network helps show where Aymeric Daval-Markussen may publish in the future.

Co-authorship network of co-authors of Aymeric Daval-Markussen

This figure shows the co-authorship network connecting the top 25 collaborators of Aymeric Daval-Markussen. A scholar is included among the top collaborators of Aymeric Daval-Markussen 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 Aymeric Daval-Markussen. Aymeric Daval-Markussen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Nash, Joshua, et al.. (2020). On languages on islands. Acta Linguistica Hafniensia. 52(1). 81–116. 5 indexed citations
2.
Daval-Markussen, Aymeric & Peter Bakker. (2017). Creole typology II: typological features of creoles: from early proposals to phylogenetic approaches and comparisons with non-creoles. 103–140. 1 indexed citations
3.
Daval-Markussen, Aymeric, et al.. (2016). A phylogenetic analysis of stable structural features in West African languages. Studies in African Linguistics. 62–94. 1 indexed citations
4.
Bakker, Peter & Aymeric Daval-Markussen. (2013). Romani identity in Romani language teaching materials:visual and linguistic aspects. 2 indexed citations
5.
Daval-Markussen, Aymeric. (2013). First steps towards a typological profile of creoles. Acta Linguistica Hafniensia. 45(2). 274–295. 16 indexed citations
6.
Bakker, Peter & Aymeric Daval-Markussen. (2013). Creole studies in the 21st century: A brief presentation of the special issue on creole languages. Acta Linguistica Hafniensia. 45(2). 141–150. 2 indexed citations
7.
Daval-Markussen, Aymeric. (2013). Review of Chaudenson (2010): La genèse des créoles de l’Océan Indien. Journal of Pidgin and Creole Languages. 28(2). 446–449.
8.
Daval-Markussen, Aymeric & Peter Bakker. (2012). Explorations in creole research with phylogenetic tools. Conference of the European Chapter of the Association for Computational Linguistics. 89–97. 5 indexed citations
9.
Bakker, Peter, Aymeric Daval-Markussen, Mikael Parkvall, & Ingo Plag. (2011). Creoles are typologically distinct from non-creoles. Journal of Pidgin and Creole Languages. 26(1). 5–42. 85 indexed citations
10.
Daval-Markussen, Aymeric & Peter Bakker. (2011). A phylogenetic networks approach to the classification of English-based Atlantic creoles. English World-Wide A Journal of Varieties of English. 32(2). 115–146. 14 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.

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