Matthew J. Beal

17 papers and 2.7k indexed citations i.

About

Matthew J. Beal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Matthew J. Beal has authored 17 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Matthew J. Beal’s work include Bayesian Methods and Mixture Models (6 papers), Machine Learning and Algorithms (3 papers) and Handwritten Text Recognition Techniques (3 papers). Matthew J. Beal is often cited by papers focused on Bayesian Methods and Mixture Models (6 papers), Machine Learning and Algorithms (3 papers) and Handwritten Text Recognition Techniques (3 papers). Matthew J. Beal collaborates with scholars based in United States, United Kingdom and Canada. Matthew J. Beal's co-authors include Yee Whye Teh, Michael I. Jordan, David M. Blei, Zoubin Ghahramani, David L. Wild, Francesco Falciani, Claudia Rangel‐Escareño, Zoubin Ghahramani, Nebojša Jojić and Hagai Attias and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Matthew J. Beal i

Fields of papers citing papers by Matthew J. Beal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew J. Beal

Since Specialization
Citations

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