Michael Burke

85 papers and 1.1k indexed citations i.

About

Michael Burke is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Michael Burke has authored 85 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Hardware and Architecture. Recurrent topics in Michael Burke’s work include Parallel Computing and Optimization Techniques (15 papers), Logic, programming, and type systems (11 papers) and Robot Manipulation and Learning (8 papers). Michael Burke is often cited by papers focused on Parallel Computing and Optimization Techniques (15 papers), Logic, programming, and type systems (11 papers) and Robot Manipulation and Learning (8 papers). Michael Burke collaborates with scholars based in United States, United Kingdom and Australia. Michael Burke's co-authors include Ron K. Cytron, Jong-Deok Choi, Paul Carini, Jeanne Ferrante, Michael Hind, Joan Lasenby, Linda Torczon, Aoife Cahill, Eric Balighian and Josef van Genabith and has published in prestigious journals such as PEDIATRICS, Cancer Research and Gut.

In The Last Decade

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

Fields of papers citing papers by Michael Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Burke

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025