Pamela Munro

81 total papers · 2.3k total citations
43 papers, 1.1k citations indexed

About

Pamela Munro is a scholar working on Language and Linguistics, Linguistics and Language and Experimental and Cognitive Psychology. According to data from OpenAlex, Pamela Munro has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Language and Linguistics, 14 papers in Linguistics and Language and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Pamela Munro's work include Linguistic Variation and Morphology (14 papers), Syntax, Semantics, Linguistic Variation (9 papers) and Spanish Linguistics and Language Studies (8 papers). Pamela Munro is often cited by papers focused on Linguistic Variation and Morphology (14 papers), Syntax, Semantics, Linguistic Variation (9 papers) and Spanish Linguistics and Language Studies (8 papers). Pamela Munro collaborates with scholars based in United States. Pamela Munro's co-authors include Charles N. Li, Ronald W. Langacker, Lynn Gordon, John Haiman, Matthew Gordon, Margaret Langdon, Peter Benson, Peter Ladefoged, Leanne Hinton and Stuart Robinson and has published in prestigious journals such as Language, Studies in Language and Journal of the International Phonetic Association.

In The Last Decade

Pamela Munro

39 papers receiving 767 citations

Hit Papers

Subject and Topic 1979 2026 1994 2010 1979 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pamela Munro 839 391 368 259 169 43 1.1k
Ernst Pulgram 885 1.1× 658 1.7× 339 0.9× 183 0.7× 160 0.9× 65 1.4k
Bernd Kortmann 906 1.1× 624 1.6× 386 1.0× 262 1.0× 125 0.7× 51 1.4k
Roderick A. Jacobs 806 1.0× 250 0.6× 321 0.9× 323 1.2× 148 0.9× 19 1.1k
Jean-Pierre Koenig 870 1.0× 216 0.6× 430 1.2× 445 1.7× 164 1.0× 51 1.2k
Fred W. Householder 494 0.6× 278 0.7× 390 1.1× 241 0.9× 91 0.5× 51 1.0k
Robert D. Levine 808 1.0× 261 0.7× 285 0.8× 434 1.7× 164 1.0× 43 1.2k
Masayoshi Shibatani 1.0k 1.2× 407 1.0× 541 1.5× 454 1.8× 144 0.9× 43 1.3k
John Algeo 730 0.9× 456 1.2× 277 0.8× 168 0.6× 201 1.2× 84 1.3k
André Martinet 742 0.9× 521 1.3× 491 1.3× 223 0.9× 112 0.7× 100 1.3k
Nikolaus P. Himmelmann 829 1.0× 600 1.5× 312 0.8× 257 1.0× 75 0.4× 60 1.2k

Countries citing papers authored by Pamela Munro

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Munro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Munro

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

All Works

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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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