Matthew Shreve

About

Matthew Shreve is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Matthew Shreve has authored 13 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Matthew Shreve’s work include Face recognition and analysis (4 papers), Video Surveillance and Tracking Methods (3 papers) and Face and Expression Recognition (3 papers). Matthew Shreve is often cited by papers focused on Face recognition and analysis (4 papers), Video Surveillance and Tracking Methods (3 papers) and Face and Expression Recognition (3 papers). Matthew Shreve collaborates with scholars based in United States and France. Matthew Shreve's co-authors include Dmitry B. Goldgof, Rangachar Kasturi, Joshua Candamo, Sergiy Fefilatyev, Orhan Bulan, Palghat Ramesh, Chad Lembke, Sudeep Sarkar, Kurt Kramer and Lawrence Hall and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Intelligent Transportation Systems and Ocean Engineering.

In The Last Decade

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

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Fields of papers citing papers by Matthew Shreve

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew Shreve

Since Specialization

Citations

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