Jennifer Cabrelli

1.2k total citations
27 papers, 441 citations indexed

About

Jennifer Cabrelli is a scholar working on Experimental and Cognitive Psychology, Language and Linguistics and Developmental and Educational Psychology. According to data from OpenAlex, Jennifer Cabrelli has authored 27 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Experimental and Cognitive Psychology, 18 papers in Language and Linguistics and 14 papers in Developmental and Educational Psychology. Recurrent topics in Jennifer Cabrelli's work include Phonetics and Phonology Research (16 papers), Language Development and Disorders (11 papers) and Syntax, Semantics, Linguistic Variation (9 papers). Jennifer Cabrelli is often cited by papers focused on Phonetics and Phonology Research (16 papers), Language Development and Disorders (11 papers) and Syntax, Semantics, Linguistic Variation (9 papers). Jennifer Cabrelli collaborates with scholars based in United States, United Kingdom and Norway. Jennifer Cabrelli's co-authors include Jason Rothman, Suzanne Flynn, Magdalena Wrembel, Michael Iverson, Roumyana Slabakova, John Archibald, Eloi Puig‐Mayenco, Tanja Kupisch, Melissa G. Moyer and Christina Lindqvist and has published in prestigious journals such as Frontiers in Psychology, Applied Linguistics and Studies in Second Language Acquisition.

In The Last Decade

Jennifer Cabrelli

26 papers receiving 385 citations

Peers

Jennifer Cabrelli
Comparison fields: 5 of 28
  • Developmental and Educational Psychology 244
  • Language and Linguistics 229
  • Experimental and Cognitive Psychology 209
  • Linguistics and Language 181
  • Cognitive Neuroscience 127
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Citations per field, relative to Jennifer Cabrelli
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Citations per year, relative to Jennifer Cabrelli
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Countries citing papers authored by Jennifer Cabrelli

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Cabrelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Cabrelli

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Cabrelli. A scholar is included among the top collaborators of Jennifer Cabrelli 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 Jennifer Cabrelli. Jennifer Cabrelli 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 6
2 2
3 10
4 13
5 3
6 0
7 2
8 6
9 3
10 13
11 1
12 12
13 18
14 5
15 4
16 32
17 30
18 13
19 71
20 127

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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