Michael Cashmore

16 papers and 153 indexed citations i.

About

Michael Cashmore is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Michael Cashmore has authored 16 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Michael Cashmore’s work include AI-based Problem Solving and Planning (16 papers), Logic, Reasoning, and Knowledge (6 papers) and Robotic Path Planning Algorithms (4 papers). Michael Cashmore is often cited by papers focused on AI-based Problem Solving and Planning (16 papers), Logic, Reasoning, and Knowledge (6 papers) and Robotic Path Planning Algorithms (4 papers). Michael Cashmore collaborates with scholars based in United Kingdom, United States and Italy. Michael Cashmore's co-authors include Daniele Magazzeni, Maria Fox, Derek Long, Bram Ridder, Luca Iocchi, Erez Karpas, Marcel Steinmetz, Andrew Coles, Wheeler Ruml and Jörg Hoffmann and has published in prestigious journals such as Journal of Artificial Intelligence Research, IEEE Transactions on Automation Science and Engineering and IFAC-PapersOnLine.

In The Last Decade

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

Fields of papers citing papers by Michael Cashmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Cashmore

Since Specialization
Citations

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