Éva Dékány

554 citations
19 papers · 76 · h-index 5

Impact in

Papers in

Éva Dékány

17 papers receiving 64 citations

Peers

Éva Dékány
Comparison fields: 5 of 23
  • Language and Linguistics 56
  • Linguistics and Language 13
  • Health Informatics 2
  • Geography, Planning and Development 8
  • Philosophy 9
Replace Ana R. Luís with:
Ana R. Luís Portugal
Urpo Nikanne Finland
Kristin Melum Eide Norway
Ulla Fix Germany
Giorgio Graffi Italy
Suzi Lima Brazil
Markus Bieswanger Germany
Matthew M. Reeve China
Michel Bréal France
Hardarik Blühdorn Germany
Éva Dékány relative to Ana R. Luís Portugal Ana R. Luís's profile →
Citations per field
00.5×
Ana R. Luís · 1×
Citations per year

Countries citing papers authored by Éva Dékány

Since Specialization
Citations

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

Fields of papers citing papers by Éva Dékány

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Éva Dékány, 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 Éva Dékány Line = papers co-authored together Éva Dékány links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201817
2 201910
3 20097
4 20156
5 20175
6
Adpositions and Case: Alternative Realisation and Concord
20194
7 20084
8 20214
9 20183
10 20203
11 20203
12 20193
13 20182
14 20231
15 20151
16
The English cleft-construction: It-clefts
20101
17 20141
18 20201
19 20230

About Éva Dékány

Éva Dékány is a scholar working on Language and Linguistics, Artificial Intelligence, Linguistics and Language, Geography, Planning and Development and Education, having authored 19 papers that have together received 76 indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (13 papers), Natural Language Processing Techniques (8 papers), Linguistic Variation and Morphology (7 papers), Hungarian Social, Economic and Educational Studies (4 papers), Lexicography and Language Studies (2 papers), Higher Education Learning Practices (2 papers), Artificial Intelligence in Healthcare and Education (1 paper) and Writing and Handwriting Education (1 paper). The work is most often cited by research in Language and Linguistics (56 citations), Linguistics and Language (13 citations), Health Informatics (2 citations), Geography, Planning and Development (8 citations) and Philosophy (9 citations). Éva Dékány has collaborated with scholars based in Hungary, Norway and United Kingdom. Frequent co-authors include Marcel den Dikken, Donát Alpár, Gergely Toldi, Enikő Kubinyi, G. G. Barnaföldi, Eszter Neumann, Zoltán Micskei, Andrea Toldy, Á. Kóspál and Szabolcs Béni. Their work appears in journals such as Natural Language & Linguistic Theory, Syntax, Folia Linguistica, Lingua and Glossa a journal of general 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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