Bożena Pająk

15 papers receiving 269 citations

Peers

Bożena Pająk
Comparison fields: 5 of 52
  • Experimental and Cognitive Psychology 103
  • Developmental and Educational Psychology 101
  • Molecular Biology 70
  • Linguistics and Language 51
  • Language and Linguistics 50
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Grace E. Oh United States
Vito Pirrelli Italy
Caterina Donati Italy
N.H.J. Oostdijk Netherlands
Steven Moran Switzerland
Christian Ebert Germany
Annemarie Verkerk Germany
Paul Widmer Switzerland
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Jaklin Kornfilt United States
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Countries citing papers authored by Bożena Pająk

Since Specialization
Citations

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

Fields of papers citing papers by Bożena Pająk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bożena Pająk

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 5
2 19
3 18
4 37
5
Analogical Processes in Language Learning.
44
6 26
7
Learning biases for phonological interactions
1
8
A model of generalization in distributional learning of phonetic categories
8
9
Non-Intervocalic Geminates: Typology, Acoustics, Perceptibility
7
10
Can native-language perceptual bias facilitate learning words in a new language?
2
11
Phonological generalization from distributional evidence
8
12 86
13 8
14
Perceptual Advantage from Generalized Linguistic Knowledge
5
15 15

About Bożena Pająk

Bożena Pająk is a scholar working on Linguistics and Language, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 15 papers that have together received 289 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (9 papers), Language Development and Disorders (8 papers) and Linguistic Variation and Morphology (4 papers). The work is most often cited by research in Linguistics and Language (51 citations), Developmental and Educational Psychology (101 citations) and Experimental and Cognitive Psychology (103 citations). Bożena Pająk has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Roger Lévy, Adele Ε. Goldberg, T. Florian Jaeger, Dave Kleinschmidt, Micah B. Goldwater, Dedre Gentner, Alex B. Fine, Sarah C. Creel, Luke Plonsky and Xiangying Jiang. Their work appears in journals such as Cancer Research, Journal of Experimental Psychology Learning Memory and Cognition and Cognitive Science.

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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