Brian Hoyt

43 total papers · 419 total citations
25 papers, 278 citations indexed

About

Brian Hoyt is a scholar working on Media Technology, Architecture and Epidemiology. According to data from OpenAlex, Brian Hoyt has authored 25 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Media Technology, 7 papers in Architecture and 5 papers in Epidemiology. Recurrent topics in Brian Hoyt's work include Engineering Education and Pedagogy (7 papers), Experimental Learning in Engineering (7 papers) and Engineering Education and Curriculum Development (5 papers). Brian Hoyt is often cited by papers focused on Engineering Education and Pedagogy (7 papers), Experimental Learning in Engineering (7 papers) and Engineering Education and Curriculum Development (5 papers). Brian Hoyt collaborates with scholars based in United States, Canada and Czechia. Brian Hoyt's co-authors include D J Evans, David G. Jackson, Jag Bhawan, Michael Fleming, Jean Gray, Michael Allen, Joan Sargeant, Jakub Hort, P Petrovický and M Vízek and has published in prestigious journals such as British Journal of Cancer, Marine Biology and Mathematical Biosciences.

In The Last Decade

Brian Hoyt

24 papers receiving 260 citations

Author Peers

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

Author Last Decade Papers Cites
Brian Hoyt 72 47 45 33 30 25 278
Ruifeng Liu 35 0.5× 51 1.1× 22 0.5× 25 0.8× 23 0.8× 24 286
Joo Hwan Lee 28 0.4× 66 1.4× 16 0.4× 15 0.5× 34 1.1× 38 314
Yu Iwabuchi 55 0.8× 31 0.7× 20 0.4× 20 0.6× 15 0.5× 31 251
Hiroaki Onishi 36 0.5× 47 1.0× 19 0.4× 18 0.5× 10 0.3× 21 320
Laura Portas 37 0.5× 36 0.8× 46 1.0× 26 0.8× 10 0.3× 24 242
Yevgeniya Gartshteyn 20 0.3× 61 1.3× 22 0.5× 56 1.7× 11 0.4× 28 314
Toshiro Hara 27 0.4× 60 1.3× 33 0.7× 46 1.4× 9 0.3× 21 316
Jinhee Kim 33 0.5× 26 0.6× 37 0.8× 8 0.2× 22 0.7× 24 305
Rodrigo Bayon 20 0.3× 57 1.2× 61 1.4× 47 1.4× 16 0.5× 27 271
Pornpattana Vichitvejpaisal 18 0.3× 40 0.9× 38 0.8× 49 1.5× 24 0.8× 12 303

Countries citing papers authored by Brian Hoyt

Since Specialization
Citations

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

Fields of papers citing papers by Brian Hoyt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Hoyt

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Hoyt. A scholar is included among the top collaborators of Brian Hoyt 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 Brian Hoyt. Brian Hoyt 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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