Matthew Hirn

30 papers and 734 indexed citations i.

About

Matthew Hirn is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Matthew Hirn has authored 30 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Matthew Hirn’s work include Topological and Geometric Data Analysis (8 papers), Advanced Graph Neural Networks (5 papers) and Machine Learning in Materials Science (5 papers). Matthew Hirn is often cited by papers focused on Topological and Geometric Data Analysis (8 papers), Advanced Graph Neural Networks (5 papers) and Machine Learning in Materials Science (5 papers). Matthew Hirn collaborates with scholars based in United States, Canada and France. Matthew Hirn's co-authors include Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy, Daniel B. Burkhardt, Kevin R. Moon, Kristina Yim, Natalia Ivanova, Antonia van den Elzen, David van Dijk and William S. Chen and has published in prestigious journals such as The Journal of Chemical Physics, Nature Biotechnology and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Matthew Hirn i

Fields of papers citing papers by Matthew Hirn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew Hirn

Since Specialization
Citations

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