Matthew Snover

12 papers and 1.2k indexed citations i.

About

Matthew Snover is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Matthew Snover has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Signal Processing. Recurrent topics in Matthew Snover’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Semantic Web and Ontologies (3 papers). Matthew Snover is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Semantic Web and Ontologies (3 papers). Matthew Snover collaborates with scholars based in United States. Matthew Snover's co-authors include Bonnie J. Dorr, Richard Schwartz, John Makhoul, Linnea Micciulla, Nitin Madnani, Heng Ji, Zheng Chen, Robin S. Stewart, Xiang Li and Javier Artiles and has published in prestigious journals such as Machine Translation, Theory and applications of categories and CiteSeer X (The Pennsylvania State University).

In The Last Decade

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

Fields of papers citing papers by Matthew Snover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew Snover

Since Specialization
Citations

This map shows the geographic impact of Matthew Snover'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 Snover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Snover 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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2025