Mia Minnes

12 papers and 32 indexed citations
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About

Mia Minnes is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Education. According to data from OpenAlex, Mia Minnes has authored 12 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Education. Recurrent topics in Mia Minnes’s work include semigroups and automata theory (3 papers), Computability, Logic, AI Algorithms (2 papers) and Academic integrity and plagiarism (2 papers). Mia Minnes is often cited by papers focused on semigroups and automata theory (3 papers), Computability, Logic, AI Algorithms (2 papers) and Academic integrity and plagiarism (2 papers). Mia Minnes collaborates with scholars based in United States, New Zealand and United Kingdom. Mia Minnes's co-authors include Bakhadyr Khoussainov, Jace Hargıs, Jiamou Liu, Christine Alvarado, Sam Buss, Martin Rinard, Curt Schurgers, Nathan Delson, Vijay Ganesh and Maziar Ghazinejad and has published in prestigious journals such as Theoretical Computer Science, Journal of Symbolic Logic and Annals of Pure and Applied Logic.

In The Last Decade

Co-authorship network of co-authors of Mia Minnes

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

Fields of papers citing papers by Mia Minnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mia Minnes

Since Specialization
Citations

This map shows the geographic impact of Mia Minnes'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 Mia Minnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mia Minnes 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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2026