Matthew Might

199 total papers · 4.3k total citations
57 papers, 569 citations indexed

About

Matthew Might is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Matthew Might has authored 57 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 17 papers in Genetics. Recurrent topics in Matthew Might’s work include Logic, programming, and type systems (24 papers), Formal Methods in Verification (17 papers) and Genetics and Neurodevelopmental Disorders (10 papers). Matthew Might is often cited by papers focused on Logic, programming, and type systems (24 papers), Formal Methods in Verification (17 papers) and Genetics and Neurodevelopmental Disorders (10 papers). Matthew Might collaborates with scholars based in United States, Belgium and Denmark. Matthew Might's co-authors include Andrew B. Crouse, Peng Li, Fernando Ovalle, Tiffany Grimes, Anath Shalev, Olin Shivers, Steven Rodems, David Van Horn, Clement Y. Chow and Wei Zheng and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

Co-authorship network of co-authors of Matthew Might

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

Matthew Might

49 papers receiving 558 citations

Fields of papers citing papers by Matthew Might

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew Might

Since Specialization
Citations

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