M Hoyle

2 papers and 4 indexed citations i.

About

M Hoyle is a scholar working on Clinical Psychology, Modeling and Simulation and Economics and Econometrics. According to data from OpenAlex, M Hoyle has authored 2 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Clinical Psychology, 1 paper in Modeling and Simulation and 1 paper in Economics and Econometrics. Recurrent topics in M Hoyle’s work include Viral Infections and Outbreaks Research (1 paper), Insurance and Financial Risk Management (1 paper) and COVID-19 and Mental Health (1 paper). M Hoyle is often cited by papers focused on Viral Infections and Outbreaks Research (1 paper), Insurance and Financial Risk Management (1 paper) and COVID-19 and Mental Health (1 paper). M Hoyle collaborates with scholars based in United Kingdom and Australia. M Hoyle's co-authors include Paul Hine, Francesca Liuzzi, James Cruise, Naomi F. Walker, Allison Thompson and Kathryn Haigh and has published in prestigious journals such as Long Range Planning and Clinical Infection in Practice.

In The Last Decade

Co-authorship network of co-authors of M Hoyle i

Fields of papers citing papers by M Hoyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M Hoyle

Since Specialization
Citations

This map shows the geographic impact of M Hoyle'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 M Hoyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Hoyle 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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2025