Monica Macaulay

982 total citations
24 papers, 244 citations indexed

About

Monica Macaulay is a scholar working on Language and Linguistics, Linguistics and Language and Artificial Intelligence. According to data from OpenAlex, Monica Macaulay has authored 24 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Language and Linguistics, 11 papers in Linguistics and Language and 7 papers in Artificial Intelligence. Recurrent topics in Monica Macaulay's work include Linguistic Variation and Morphology (10 papers), Syntax, Semantics, Linguistic Variation (9 papers) and Spanish Linguistics and Language Studies (5 papers). Monica Macaulay is often cited by papers focused on Linguistic Variation and Morphology (10 papers), Syntax, Semantics, Linguistic Variation (9 papers) and Spanish Linguistics and Language Studies (5 papers). Monica Macaulay collaborates with scholars based in United States. Monica Macaulay's co-authors include Joseph Salmons and Claudia Brugman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language and Journal of Pragmatics.

In The Last Decade

Monica Macaulay

20 papers receiving 181 citations

Peers

Monica Macaulay
Comparison fields: 5 of 32
  • Language and Linguistics 171
  • Linguistics and Language 117
  • Experimental and Cognitive Psychology 91
  • Gender Studies 49
  • Artificial Intelligence 47
Ludovic De Cuypere Belgium
Helena Raumolin‐Brunberg Finland
Friederike Lüpke United Kingdom
Günter Rohdenburg Germany
Gerrit J. Dimmendaal Germany
Elizabeth Cowper Canada
Jan Terje Faarlund Norway
Jason Grafmiller United Kingdom
Jan Tillery United States
Thomas E. Toon United Kingdom
Ludovic De Cuypere Belgium View profile →
Citations per field, relative to Monica Macaulay
Monica Macaulay · 1×
Citations per year, relative to Monica Macaulay
Monica Macaulay · 1×

Countries citing papers authored by Monica Macaulay

Since Specialization
Citations

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

Fields of papers citing papers by Monica Macaulay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Macaulay

This figure shows the co-authorship network connecting the top 25 collaborators of Monica Macaulay. A scholar is included among the top collaborators of Monica Macaulay 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 Monica Macaulay. Monica Macaulay 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 0
2 1
3 2
4 15
5 2
6 0
7 2
8 24
9 9
10 12
11 36
12 2
13 6
14 27
15 5
16 9
17 1
18 2
19
Morphology and Cliticization in Chalcatongo Mixtec
2
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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