Brian Mac Namee

68 papers and 745 indexed citations i.

About

Brian Mac Namee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Brian Mac Namee has authored 68 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Brian Mac Namee’s work include Adaptation to Concept Drift in Data Streams (10 papers), Anomaly Detection Techniques and Applications (9 papers) and Machine Learning and Data Classification (8 papers). Brian Mac Namee is often cited by papers focused on Adaptation to Concept Drift in Data Streams (10 papers), Anomaly Detection Techniques and Applications (9 papers) and Machine Learning and Data Classification (8 papers). Brian Mac Namee collaborates with scholars based in Ireland, United Kingdom and China. Brian Mac Namee's co-authors include John D. Kelleher, Sarah Jane Delany, Elizabeth Hunter, Derek Greene, Quan Le, Oisín Boydell, Mark Scanlon, Pádraig Cunningham, Arjun Pakrashi and Owen I. Corrigan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Dairy Science.

In The Last Decade

Co-authorship network of co-authors of Brian Mac Namee i

Fields of papers citing papers by Brian Mac Namee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Brian Mac Namee

Since Specialization
Citations

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