John Macnamara

3.6k citations
67 papers · 2.5k · h-index 18

Impact in

Papers in

John Macnamara

57 papers receiving 2.0k citations

Peers

John Macnamara
Comparison fields: 5 of 92
  • Developmental and Educational Psychology 1.3k
  • Linguistics and Language 407
  • Language and Linguistics 920
  • Experimental and Cognitive Psychology 666
  • Cognitive Neuroscience 518
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Citations per field
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Citations per year

Countries citing papers authored by John Macnamara

Since Specialization
Citations

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

Fields of papers citing papers by John Macnamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside John Macnamara, 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 John Macnamara Line = papers co-authored together John Macnamara links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971365
2 1972358
3 1978313
4 1974278
5 1967203
6 1971202
7 197685
8 196875
9 196764
10 196752
11 197345
12 196742
13 196941
14 197640
15 197229
16 197022
17 199021
18 197818
19
The Cognitive Strategies of Language Learning.
197116
20 198914

About John Macnamara

John Macnamara is a scholar working on Language and Linguistics, Developmental and Educational Psychology, Linguistics and Language, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 67 papers that have together received 2.5k indexed citations. Recurring topics across this work include Child and Animal Learning Development (6 papers), Lexicography and Language Studies (5 papers), Reading and Literacy Development (5 papers), Language Development and Disorders (5 papers), Natural Language Processing Techniques (5 papers), Academic and Historical Perspectives in Psychology (4 papers), Syntax, Semantics, Linguistic Variation (4 papers) and Social Representations and Identity (4 papers). The work is most often cited by research in Developmental and Educational Psychology (1.3k citations), Linguistics and Language (407 citations), Language and Linguistics (920 citations), Experimental and Cognitive Psychology (666 citations) and Cognitive Neuroscience (518 citations). John Macnamara has collaborated with scholars based in Canada, Ireland and United Kingdom. Frequent co-authors include Ann M. Peters, Nancy R. Katz, Chester L. Olson, Wallace E. Lambert, Thomas Kellaghan, Gonzalo Escobar Reyes, James Cummins, Brian D. Doan, Erica Baker and Raymond Mougeon. Their work appears in journals such as Child Development, Modern Language Journal, Journal for the Theory of Social Behaviour, Journal of Social Issues and Canadian Psychology/Psychologie canadienne.

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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