Brian Roark

97 papers and 1.9k indexed citations i.

About

Brian Roark is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Brian Roark has authored 97 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 15 papers in Cognitive Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Brian Roark’s work include Natural Language Processing Techniques (71 papers), Topic Modeling (57 papers) and Speech Recognition and Synthesis (25 papers). Brian Roark is often cited by papers focused on Natural Language Processing Techniques (71 papers), Topic Modeling (57 papers) and Speech Recognition and Synthesis (25 papers). Brian Roark collaborates with scholars based in United States, United Kingdom and Türkiye. Brian Roark's co-authors include Murat Saraçlar, Michiel Bacchiani, Kristy Hollingshead, Margaret Mitchell, Eugene Charniak, Michael Collins, Jeffrey Kaye, John-Paul Hosom, Melanie Fried‐Oken and Izhak Shafran and has published in prestigious journals such as Neurorehabilitation and neural repair, Journal of Neural Engineering and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Brian Roark i

Fields of papers citing papers by Brian Roark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Brian Roark

Since Specialization
Citations

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