Matthew M. Reeve

89 total papers · 481 total citations
26 papers, 93 citations indexed

About

Matthew M. Reeve is a scholar working on Language and Linguistics, History and Classics. According to data from OpenAlex, Matthew M. Reeve has authored 26 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Language and Linguistics, 8 papers in History and 6 papers in Classics. Recurrent topics in Matthew M. Reeve's work include Syntax, Semantics, Linguistic Variation (8 papers), Historical and Religious Studies of Rome (6 papers) and Medieval Literature and History (6 papers). Matthew M. Reeve is often cited by papers focused on Syntax, Semantics, Linguistic Variation (8 papers), Historical and Religious Studies of Rome (6 papers) and Medieval Literature and History (6 papers). Matthew M. Reeve collaborates with scholars based in China, United Kingdom and Australia. Matthew M. Reeve's co-authors include Timothy Osborne, Glyn Hicks, Tu Nguyen, Hien Anh Thi Nguyen, H. Rogier van Doorn, Duc Anh Dang and Sonia Lewycka and has published in prestigious journals such as Antibiotics, Lingua and Natural Language & Linguistic Theory.

In The Last Decade

Matthew M. Reeve

17 papers receiving 70 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew M. Reeve 50 19 17 15 15 26 93
Giacomo Devoto 67 1.3× 16 0.8× 57 3.4× 17 1.1× 7 0.5× 22 135
René Pellen 78 1.6× 42 2.2× 22 1.3× 20 1.3× 5 0.3× 22 114
Anna Laura Lepschy 70 1.4× 33 1.7× 46 2.7× 39 2.6× 9 0.6× 18 127
Lia Formigari 46 0.9× 15 0.8× 9 0.5× 9 0.6× 11 0.7× 26 94
W. Keith Percival 81 1.6× 19 1.0× 10 0.6× 11 0.7× 6 0.4× 18 113
Thomas Montgomery 42 0.8× 20 1.1× 7 0.4× 22 1.5× 5 0.3× 34 97
Andrés Enrique‐Arias 68 1.4× 42 2.2× 14 0.8× 25 1.7× 13 0.9× 29 103
William Lamb 19 0.4× 18 0.9× 11 0.6× 8 0.5× 6 0.4× 21 59
Henry Sweet 71 1.4× 57 3.0× 11 0.6× 33 2.2× 19 1.3× 20 133
Gordon M. Messing 47 0.9× 11 0.6× 9 0.5× 18 1.2× 5 0.3× 33 108

Countries citing papers authored by Matthew M. Reeve

Since Specialization
Citations

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

Fields of papers citing papers by Matthew M. Reeve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew M. Reeve

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew M. Reeve. A scholar is included among the top collaborators of Matthew M. Reeve 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 Matthew M. Reeve. Matthew M. Reeve 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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