Ewa Dąbrowska

4.2k citations
64 papers · 1.7k · h-index 22

Impact in

Papers in

Ewa Dąbrowska

60 papers receiving 1.5k citations

Peers

Ewa Dąbrowska
Comparison fields: 5 of 67
  • Language and Linguistics 839
  • Developmental and Educational Psychology 956
  • Linguistics and Language 260
  • Experimental and Cognitive Psychology 383
  • Cognitive Neuroscience 500
Replace Holger Diessel with:
Holger Diessel Germany
Suzanne Flynn United States
Bonnie D. Schwartz United States
Jürgen M. Meisel Germany
Roger Hawkins United Kingdom
Adriana Belletti Italy
Roumyana Slabakova United States
Alan Juffs United States
Barbara Lust United States
Yasuhiro Shirai United States
Ewa Dąbrowska relative to Holger Diessel Germany Holger Diessel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ewa Dąbrowska

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Dąbrowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Ewa Dąbrowska, 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 Ewa Dąbrowska Line = papers co-authored together Ewa Dąbrowska links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012170
2 2005130
3 2006118
4 201098
5 200884
6 201079
7 201876
8 201563
9 201660
10 200658
11 200456
12 200455
13 200148
14 201444
15 200944
16 201843
17 200838
18 200838
19 201233
20 201628

About Ewa Dąbrowska

Ewa Dąbrowska is a scholar working on Developmental and Educational Psychology, Language and Linguistics, Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Language Development and Disorders (31 papers), Reading and Literacy Development (24 papers), Neurobiology of Language and Bilingualism (22 papers), Second Language Acquisition and Learning (15 papers), Syntax, Semantics, Linguistic Variation (14 papers), EFL/ESL Teaching and Learning (12 papers), Natural Language Processing Techniques (7 papers) and Language, Metaphor, and Cognition (6 papers). The work is most often cited by research in Language and Linguistics (839 citations), Developmental and Educational Psychology (956 citations), Linguistics and Language (260 citations), Experimental and Cognitive Psychology (383 citations) and Cognitive Neuroscience (500 citations). Ewa Dąbrowska has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include James A. Street, Elena Lieven, Marcin Szczerbiński, Dagmar Divjak, Caroline F. Rowland, Anna Theakston, Miquel Llompart, Antti Arppe, Michael Tomasello and Sible Andringa. Their work appears in journals such as Cognitive Linguistics, Frontiers in Psychology, Journal of Child Language, Linguistics and Linguistic Approaches to Bilingualism.

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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