Jonathan Brennan

2.1k citations
42 papers · 1.0k · h-index 17

Impact in

Papers in

Jonathan Brennan

37 papers receiving 961 citations

Peers

Jonathan Brennan
Comparison fields: 5 of 62
  • Cognitive Neuroscience 852
  • Developmental and Educational Psychology 420
  • Experimental and Cognitive Psychology 184
  • Language and Linguistics 102
  • Social Psychology 151
Replace Jutta L. Mueller with:
Jutta L. Mueller Germany
Erdmut Pfeifer Germany
Barbara J. Luka United States
Katherine A. DeLong United States
Kristof Strijkers France
Julia Uddén Netherlands
Chantal Pacteau France
Lea A. Hald Netherlands
Maud Boyer France
Cyrus Shaoul Canada
Jonathan Brennan relative to Jutta L. Mueller Germany Jutta L. Mueller's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jonathan Brennan

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Brennan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Brennan, 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 Jonathan Brennan Line = papers co-authored together Jonathan Brennan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010158
2 2016118
3 201289
4 200867
5 201964
6 201655
7 201647
8 202138
9 201837
10 201033
11 202032
12 201031
13 201930
14 202221
15 202220
16 201420
17 201718
18 202316
19
Mixed race literature
200215
20 201514

About Jonathan Brennan

Jonathan Brennan is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Artificial Intelligence, Experimental and Cognitive Psychology and Language and Linguistics, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (24 papers), Reading and Literacy Development (16 papers), Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers), EEG and Brain-Computer Interfaces (7 papers), Language Development and Disorders (6 papers), Language, Metaphor, and Cognition (5 papers) and Functional Brain Connectivity Studies (5 papers). The work is most often cited by research in Cognitive Neuroscience (852 citations), Developmental and Educational Psychology (420 citations), Experimental and Cognitive Psychology (184 citations), Language and Linguistics (102 citations) and Social Psychology (151 citations). Jonathan Brennan has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Liina Pylkkänen, John Hale, Uri Hasson, Rafael Malach, Yuval Nir, David J. Heeger, Edward P. Stabler, Andrea E. Martin, Christophe Pallier and Wen‐Ming Luh. Their work appears in journals such as Brain and Language, Language Cognition and Neuroscience, Neuropsychologia, Scientific Data 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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