James Bergstra

About

James Bergstra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, James Bergstra has authored 19 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in James Bergstra’s work include Music and Audio Processing (6 papers), Machine Learning and Data Classification (5 papers) and Neural dynamics and brain function (4 papers). James Bergstra is often cited by papers focused on Music and Audio Processing (6 papers), Machine Learning and Data Classification (5 papers) and Neural dynamics and brain function (4 papers). James Bergstra collaborates with scholars based in Canada and United States. James Bergstra's co-authors include David Cox, Daniel Yamins, Dan Yamins, Yoshua Bengio, Chris Eliasmith, Guillaume Desjardins, David Warde-Farley, Joseph Turian, Olivier Breuleux and Frédéric Bastien and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Computation and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of James Bergstra i

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Fields of papers citing papers by James Bergstra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Bergstra

Since Specialization

Citations

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