Michaël Peyrot

1.8k total citations
22 papers, 57 citations indexed

About

Michaël Peyrot is a scholar working on Language and Linguistics, Anthropology and Archeology. According to data from OpenAlex, Michaël Peyrot has authored 22 papers receiving a total of 57 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Language and Linguistics, 9 papers in Anthropology and 9 papers in Archeology. Recurrent topics in Michaël Peyrot's work include Linguistics and Cultural Studies (22 papers), Linguistics and language evolution (22 papers) and Eurasian Exchange Networks (9 papers). Michaël Peyrot is often cited by papers focused on Linguistics and Cultural Studies (22 papers), Linguistics and language evolution (22 papers) and Eurasian Exchange Networks (9 papers). Michaël Peyrot collaborates with scholars based in Netherlands, Germany and Austria. Michaël Peyrot's co-authors include Jens Wilkens, Gojko Barjamovic and Guus Kroonen and has published in prestigious journals such as Diachronica, Bulletin of the School of Oriental and African Studies and Indo-Iranian Journal.

In The Last Decade

Michaël Peyrot

15 papers receiving 40 citations

Peers

Michaël Peyrot
Comparison fields: 5 of 16
  • Language and Linguistics 49
  • Archeology 23
  • Anthropology 19
  • Sociology and Political Science 3
  • Religious studies 3
Replace Olga Tribulato with:
Olga Tribulato Italy
Britta Irslinger Germany
Wouter Henkelman Ukraine
Mary R. Bachvarova United States
Hans G. Mukarovsky
Basil L. Gildersleeve
Joan Ferrer i Jané Spain
T. A. Heslop United Kingdom
Elisabeth Okasha Ireland
R.J. van der Spek Ukraine
Olga Tribulato Italy View profile →
Citations per field, relative to Michaël Peyrot
Michaël Peyrot · 1×
Citations per year, relative to Michaël Peyrot
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Countries citing papers authored by Michaël Peyrot

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Peyrot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaël Peyrot

This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Peyrot. A scholar is included among the top collaborators of Michaël Peyrot 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 Michaël Peyrot. Michaël Peyrot 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
# Work Indexed citations
1 0
2 2
3 0
4 1
5
Tocharian B etswe ‘mule’ and Eastern East Iranian
2
6 2
7
Tocharian agricultural terminology: Between inheritance and language contact
1
8 4
9 0
10
Tocharian: An Indo-European language from China
1
11 2
12 1
13 3
14 1
15 3
16
The Tocharian Subjunctive: A Study in Syntax and Verbal Stem Formation
12
17 9
18
Proto-Tocharian Syntax and the Status of Tocharian A
0
19 9
20 2

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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