Dale Schuurmans

147 papers and 2.9k indexed citations i.

About

Dale Schuurmans is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Dale Schuurmans has authored 147 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 19 papers in Management Science and Operations Research. Recurrent topics in Dale Schuurmans’s work include Topic Modeling (25 papers), Machine Learning and Algorithms (21 papers) and Reinforcement Learning in Robotics (18 papers). Dale Schuurmans is often cited by papers focused on Topic Modeling (25 papers), Machine Learning and Algorithms (21 papers) and Reinforcement Learning in Robotics (18 papers). Dale Schuurmans collaborates with scholars based in Canada, United States and Australia. Dale Schuurmans's co-authors include Linli Xu, Adam J. Grove, Yuhong Guo, Fuchun Peng, Yaoliang Yu, Xinhua Zhang, James Neufeld, Finnegan Southey, Shaojun Wang and Relu Patrascu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Dale Schuurmans i

Fields of papers citing papers by Dale Schuurmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dale Schuurmans

Since Specialization
Citations

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