Michael Mayo

607 total citations
7 papers, 268 citations indexed

About

Michael Mayo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Michael Mayo has authored 7 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Michael Mayo's work include AI-based Problem Solving and Planning (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Michael Mayo is often cited by papers focused on AI-based Problem Solving and Planning (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Michael Mayo collaborates with scholars based in New Zealand and Australia. Michael Mayo's co-authors include Antonija Mitrović and Brent Martin and has published in prestigious journals such as User Modeling and User-Adapted Interaction, Research Commons (University of Waikato) and University of Canterbury Research Repository (University of Canterbury).

In The Last Decade

Michael Mayo

7 papers receiving 221 citations

Peers

Michael Mayo

AI

CSA

DEP

IS

CVPR

Elena Trichina France

Marko Rosić Croatia

Penghe Chen China

Slavomir Stankov Croatia

Ad Aerts Netherlands

Pramuditha Suraweera New Zealand

Masahito Hirakawa Japan

Vlado Glavinić Croatia

D. Sleeman United States

Michael S. Kirkpatrick United States

Elena Trichina France

Michael Mayo

144 ×0.7

AI

36 ×0.4

CSA

37 ×0.6

DEP

46 ×1.0

IS

48 ×1.3

CVPR

Citations per year, relative to Michael Mayo Michael Mayo (= 1×) peers Elena Trichina

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).

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.

Co-authorship network of co-authors of Michael Mayo

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Mayo. A scholar is included among the top collaborators of Michael Mayo 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 Michael Mayo. Michael Mayo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Mayo, Michael, et al.. (2008). Adaptive Feature Thresholding for off-line signature verification. Research Commons (University of Waikato). 1–6. 33 indexed citations

2.

Mayo, Michael, et al.. (2008). Pattern discovery for object categorization. Research Commons (University of Waikato). 1–6. 2 indexed citations

3.

Mayo, Michael. (2003). Symbol grounding and its implications for artificial intelligence. Research Commons (University of Waikato). 55–60. 14 indexed citations

4.

Mitrović, Antonija, Brent Martin, & Michael Mayo. (2002). Using Evaluation to Shape ITS Design: Results and Experiences with SQL-Tutor. User Modeling and User-Adapted Interaction. 12(2-3). 243–279. 74 indexed citations

5.

Mayo, Michael, et al.. (2002). CAPIT: an intelligent tutoring system for capitalisation and punctuation. 151–154. 19 indexed citations

6.

Mayo, Michael & Antonija Mitrović. (2001). Optimising ITS Behaviour with Bayesian Networks and Decision Theory. Research Commons (University of Waikato). 12. 124–153. 115 indexed citations

7.

Mayo, Michael. (2001). Bayesian Student Modelling and Decision-Theoretic Selection of Tutorial Actions in Intelligent Tutoring Systems. University of Canterbury Research Repository (University of Canterbury). 11 indexed citations

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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