Jan Don

404 citations
21 papers · 102 · h-index 6

Impact in

Papers in

Jan Don

18 papers receiving 88 citations

Peers

Jan Don
Comparison fields: 5 of 26
  • Language and Linguistics 84
  • Linguistics and Language 32
  • Experimental and Cognitive Psychology 34
  • Artificial Intelligence 39
  • Philosophy 12
Replace Giorgio Francesco Arcodia with:
Giorgio Francesco Arcodia Italy
Daniel Wedgwood United Kingdom
Denisa Lenertová Germany
Verner Egerland Sweden
Augustin Speyer Germany
Regina Pustet Germany
Gabriela Matos Portugal
D. Kolliakou United Kingdom
Petra M. Vogel France
Ana R. Luís Portugal
Jan Don relative to Giorgio Francesco Arcodia Italy Giorgio Francesco Arcodia's profile →
Citations per field
00.5×1.6×
Giorgio Francesco Arcodia · 1×
Citations per year

Countries citing papers authored by Jan Don

Since Specialization
Citations

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

Fields of papers citing papers by Jan Don

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Jan Don, 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 Jan Don Line = papers co-authored together Jan Don links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201722
2 200421
3
On conversion, relisting and zero-derivation
200510
4 20119
5 20107
6 20145
7 20095
8 20084
9 20063
10 20083
11 20183
12 19872
13
A syntagmatic analysis of 'paradigmatic' morphology
20142
14 20152
15 20221
16 20061
17 20151
18 20031
19 20140
20 20170

About Jan Don

Jan Don is a scholar working on Language and Linguistics, Artificial Intelligence, Linguistics and Language, Experimental and Cognitive Psychology and Gender Studies, having authored 21 papers that have together received 102 indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (13 papers), Natural Language Processing Techniques (8 papers), Linguistic Variation and Morphology (5 papers), Gender Studies in Language (3 papers), Speech and dialogue systems (2 papers), Language, Metaphor, and Cognition (2 papers), Language and cultural evolution (2 papers) and Linguistic research and analysis (2 papers). The work is most often cited by research in Language and Linguistics (84 citations), Linguistics and Language (32 citations), Experimental and Cognitive Psychology (34 citations), Artificial Intelligence (39 citations) and Philosophy (12 citations). Jan Don has collaborated with scholars based in Netherlands, Norway and Germany. Frequent co-authors include Suzanne Aalberse, Elma Blom, Umberto Ansaldo, Petra Sleeman, Roland Pfau and Marijke De Belder. Their work appears in journals such as Morphology, Linguistics in the Netherlands, Studies in Language, Journal of Linguistics and Linguistics.

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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