Brian Langner

13 papers and 225 indexed citations i.

About

Brian Langner is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Brian Langner has authored 13 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Brian Langner’s work include Speech and dialogue systems (9 papers), Natural Language Processing Techniques (4 papers) and Speech Recognition and Synthesis (4 papers). Brian Langner is often cited by papers focused on Speech and dialogue systems (9 papers), Natural Language Processing Techniques (4 papers) and Speech Recognition and Synthesis (4 papers). Brian Langner collaborates with scholars based in United States. Brian Langner's co-authors include Alan W. Black, Maxine Eskénazi, Antoine Raux, Dan Bohus, Victor P. Seidel, Stephan Vogel, Alexander I. Rudnicky, John Kominek, Arthur R. Toth and Gopala K. Anumanchipalli and has published in prestigious journals such as Industrial and Corporate Change, CiteSeer X (The Pennsylvania State University) and INDIGO (University of Illinois at Chicago).

In The Last Decade

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

Fields of papers citing papers by Brian Langner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Brian Langner

Since Specialization
Citations

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