Tegan Maharaj

About

Tegan Maharaj is a scholar working on Artificial Intelligence, Safety Research and Epidemiology. According to data from OpenAlex, Tegan Maharaj has authored 10 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Safety Research and 1 paper in Epidemiology. Recurrent topics in Tegan Maharaj’s work include Domain Adaptation and Few-Shot Learning (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Ethics and Social Impacts of AI (2 papers). Tegan Maharaj is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Ethics and Social Impacts of AI (2 papers). Tegan Maharaj collaborates with scholars based in Canada, United States and Germany. Tegan Maharaj's co-authors include Nicolas Ballas, Aaron Courville, David Krueger, Yoshua Bengio, Asja Fischer, Devansh Arpit, Emmanuel Bengio, Maxinder S Kanwal, Stanisław Jastrzȩbski and Simon Lacoste-Julien and has published in prestigious journals such as Science, arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Tegan Maharaj i

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Fields of papers citing papers by Tegan Maharaj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tegan Maharaj

Since Specialization

Citations

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