Michael Mayo

3 papers and 65 indexed citations i.

About

Michael Mayo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Michael Mayo has authored 3 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Michael Mayo’s work include Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers) and AI-based Problem Solving and Planning (1 paper). Michael Mayo is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers) and AI-based Problem Solving and Planning (1 paper). Michael Mayo collaborates with scholars based in New Zealand. Michael Mayo's co-authors include Brent Martin and Antonija Mitrović and has published in prestigious journals such as User Modeling and User-Adapted Interaction, Research Commons (The University of Waikato) and Research Commons (University of Waikato).

In The Last Decade

Co-authorship network of co-authors of Michael Mayo i

Fields of papers citing papers by Michael Mayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Mayo

Since Specialization
Citations

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