Jeffrey Coney

704 total citations
33 papers, 572 citations indexed

About

Jeffrey Coney is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Statistics and Probability. According to data from OpenAlex, Jeffrey Coney has authored 33 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 16 papers in Developmental and Educational Psychology and 8 papers in Statistics and Probability. Recurrent topics in Jeffrey Coney's work include Neurobiology of Language and Bilingualism (15 papers), Reading and Literacy Development (12 papers) and Hemispheric Asymmetry in Neuroscience (10 papers). Jeffrey Coney is often cited by papers focused on Neurobiology of Language and Bilingualism (15 papers), Reading and Literacy Development (12 papers) and Hemispheric Asymmetry in Neuroscience (10 papers). Jeffrey Coney collaborates with scholars based in Australia. Jeffrey Coney's co-authors include Bethanie Gouldthorp, Marjorie A. Collins, Andrea Lange, Christine Bruce and John Fitzgerald and has published in prestigious journals such as Neuropsychologia, Cognition & Emotion and Brain and Language.

In The Last Decade

Jeffrey Coney

33 papers receiving 536 citations

Peers

Jeffrey Coney
Comparison fields: 5 of 53
  • Cognitive Neuroscience 455
  • Developmental and Educational Psychology 229
  • Experimental and Cognitive Psychology 149
  • Statistics and Probability 78
  • Social Psychology 65
Replace José Morais with:
José Morais Belgium
Giordana Grossi United States
Sid Kouider France
Janet I. Vousden United Kingdom
Sini Maury Finland
Carla J. Posnansky United States
Anne Gates Australia
Ruiming Wang China
Motonobu Itoh Japan
Renate Zangl United States
José Morais Belgium View profile →
Citations per field, relative to Jeffrey Coney
Jeffrey Coney · 1×
Citations per year, relative to Jeffrey Coney
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Countries citing papers authored by Jeffrey Coney

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Coney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Coney

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Coney. A scholar is included among the top collaborators of Jeffrey Coney 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 Jeffrey Coney. Jeffrey Coney 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 20
3 4
4 11
5 1
6 11
7 6
8 14
9 9
10 9
11 37
12 32
13 6
14 3
15 17
16 15
17 12
18 8
19 5
20 1

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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