Matthew B. Hoy

28 total papers · 2.0k total citations
23 papers, 1.2k citations indexed

About

Matthew B. Hoy is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthew B. Hoy has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 3 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthew B. Hoy's work include QR Code Applications and Technologies (3 papers), Web Data Mining and Analysis (2 papers) and Spam and Phishing Detection (2 papers). Matthew B. Hoy is often cited by papers focused on QR Code Applications and Technologies (3 papers), Web Data Mining and Analysis (2 papers) and Spam and Phishing Detection (2 papers). Matthew B. Hoy collaborates with scholars based in United States, South Korea and Italy. Matthew B. Hoy's co-authors include Allison Malcolm, S. Mark Scott, Guido Basilisco, Adil E. Bharucha, Tae Hee Lee and Satish S.C. Rao and has published in prestigious journals such as Neurogastroenterology & Motility, Journal of the Medical Library Association JMLA and Medical Reference Services Quarterly.

In The Last Decade

Matthew B. Hoy

23 papers receiving 1.1k citations

Hit Papers

Alexa, Siri, Cortana, and... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Matthew B. Hoy 403 314 173 157 130 23 1.2k
Umer Farooq 314 0.8× 349 1.1× 163 0.9× 83 0.5× 236 1.8× 64 1.4k
Richard Crowder 188 0.5× 160 0.5× 223 1.3× 99 0.6× 123 0.9× 129 1.4k
Darío Correal 262 0.7× 421 1.3× 92 0.5× 51 0.3× 154 1.2× 50 1.3k
Mohd Anwar 301 0.7× 628 2.0× 310 1.8× 74 0.5× 330 2.5× 85 1.3k
Hsiu‐Sen Chiang 256 0.6× 195 0.6× 570 3.3× 357 2.3× 159 1.2× 51 1.5k
Eija Kaasinen 93 0.2× 203 0.6× 244 1.4× 175 1.1× 161 1.2× 54 1.2k
Maarten Sierhuis 472 1.2× 246 0.8× 112 0.6× 77 0.5× 119 0.9× 64 1.3k
Gordon Baxter 169 0.4× 133 0.4× 167 1.0× 81 0.5× 43 0.3× 32 1.4k
Gilberto Pedraza-García 227 0.6× 269 0.9× 86 0.5× 44 0.3× 130 1.0× 8 1.1k
Alessio Malizia 307 0.8× 174 0.6× 108 0.6× 72 0.5× 78 0.6× 115 1.2k

Countries citing papers authored by Matthew B. Hoy

Since Specialization
Citations

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

Fields of papers citing papers by Matthew B. Hoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew B. Hoy

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