Brian M. Slator

About

Brian M. Slator is a scholar working on Artificial Intelligence, Computer Science Applications and Language and Linguistics. According to data from OpenAlex, Brian M. Slator has authored 24 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Computer Science Applications and 5 papers in Language and Linguistics. Recurrent topics in Brian M. Slator’s work include Natural Language Processing Techniques (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Open Education and E-Learning (5 papers). Brian M. Slator is often cited by papers focused on Natural Language Processing Techniques (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Open Education and E-Learning (5 papers). Brian M. Slator collaborates with scholars based in United States, Canada and United Kingdom. Brian M. Slator's co-authors include Phillip E. McClean, Christina Johnson, Jeff Terpstra, Alan White, Lisa Daniels, Yorick Wilks, Dan Fass, James E. McDonald, Tony Plate and Bernhardt Saini‐Eidukat and has published in prestigious journals such as PLoS Biology, Communications of the ACM and Computer.

In The Last Decade

Co-authorship network of co-authors of Brian M. Slator i

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Fields of papers citing papers by Brian M. Slator

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Brian M. Slator

Since Specialization

Citations

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