Matthew J. Denny

84 total papers · 684 total citations
14 papers, 430 citations indexed

About

Matthew J. Denny is a scholar working on Artificial Intelligence, General Social Sciences and Political Science and International Relations. According to data from OpenAlex, Matthew J. Denny has authored 14 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in General Social Sciences and 3 papers in Political Science and International Relations. Recurrent topics in Matthew J. Denny's work include Computational and Text Analysis Methods (4 papers), Electoral Systems and Political Participation (3 papers) and Topic Modeling (2 papers). Matthew J. Denny is often cited by papers focused on Computational and Text Analysis Methods (4 papers), Electoral Systems and Political Participation (3 papers) and Topic Modeling (2 papers). Matthew J. Denny collaborates with scholars based in United States, Netherlands and United Kingdom. Matthew J. Denny's co-authors include Arthur Spirling, Hanna Wallach, Brendan O’Connor, John Wilkerson, Andreu Casas, Angela C. M. de Oliveira, John M. Spraggon, Brad Adelberg, James Wilson and Skyler Cranmer and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Matthew J. Denny

13 papers receiving 407 citations

Hit Papers

Text Preprocessing For Un... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Matthew J. Denny 176 167 115 79 64 14 430
Kevin M. Quinn 110 0.6× 149 0.9× 130 1.1× 104 1.3× 82 1.3× 11 433
Marcelo Jenny 67 0.4× 167 1.0× 120 1.0× 198 2.5× 102 1.6× 30 491
Martijn Schoonvelde 101 0.6× 106 0.6× 185 1.6× 167 2.1× 123 1.9× 20 491
Carina Jacobi 170 1.0× 99 0.6× 180 1.6× 27 0.3× 136 2.1× 8 420
Derek O’Callaghan 55 0.3× 149 0.9× 145 1.3× 27 0.3× 83 1.3× 8 368
J. Zvi Namenwirth 21 0.1× 80 0.5× 138 1.2× 151 1.9× 20 0.3× 17 454
Andrew Iliadis 21 0.1× 62 0.4× 181 1.6× 44 0.6× 60 0.9× 33 464
Saif Shahin 23 0.1× 68 0.4× 222 1.9× 86 1.1× 240 3.8× 34 410
Romain Deveaud 61 0.3× 128 0.8× 136 1.2× 16 0.2× 54 0.8× 13 452
Merja Mahrt 27 0.2× 55 0.3× 168 1.5× 33 0.4× 177 2.8× 14 381

Countries citing papers authored by Matthew J. Denny

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Denny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Denny

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