Matthew Baerman

24 papers and 252 indexed citations i.

About

Matthew Baerman is a scholar working on Language and Linguistics, Artificial Intelligence and Linguistics and Language. According to data from OpenAlex, Matthew Baerman has authored 24 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Language and Linguistics, 7 papers in Artificial Intelligence and 7 papers in Linguistics and Language. Recurrent topics in Matthew Baerman’s work include Syntax, Semantics, Linguistic Variation (19 papers), Linguistic Variation and Morphology (7 papers) and Natural Language Processing Techniques (6 papers). Matthew Baerman is often cited by papers focused on Syntax, Semantics, Linguistic Variation (19 papers), Linguistic Variation and Morphology (7 papers) and Natural Language Processing Techniques (6 papers). Matthew Baerman collaborates with scholars based in United Kingdom, United States and Australia. Matthew Baerman's co-authors include Greville G. Corbett, Dunstan Brown, Catherine Rudin, Enrique L. Palancar, Erich R. Round, Oliver Bond and Andrew Hippisley and has published in prestigious journals such as Language, Lingua and Natural Language & Linguistic Theory.

In The Last Decade

Co-authorship network of co-authors of Matthew Baerman i

Fields of papers citing papers by Matthew Baerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew Baerman

Since Specialization
Citations

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

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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