Tegan Maharaj

45 total papers · 3.3k total citations
10 papers, 455 citations indexed

About

Tegan Maharaj is a scholar working on Artificial Intelligence, Safety Research and Information Systems. According to data from OpenAlex, Tegan Maharaj has authored 10 papers receiving a total of 455 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 Information Systems. Recurrent topics in Tegan Maharaj's work include Domain Adaptation and Few-Shot Learning (2 papers), Ethics and Social Impacts of AI (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Tegan Maharaj is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Ethics and Social Impacts of AI (2 papers) and Stochastic Gradient Optimization Techniques (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, Maxinder S Kanwal, Emmanuel Bengio, Stanisław Jastrzȩbski, Asja Fischer, Devansh Arpit, Yoshua Bengio and Simon Lacoste-Julien and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and arXiv (Cornell University).

In The Last Decade

Tegan Maharaj

8 papers receiving 442 citations

Hit Papers

A closer look at memoriza... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tegan Maharaj 337 203 26 20 19 10 455
Devansh Arpit 335 1.0× 219 1.1× 27 1.0× 22 1.1× 23 1.2× 12 487
Francisco Erivaldo Fernandes 268 0.8× 187 0.9× 15 0.6× 16 0.8× 40 2.1× 14 480
Haiyang Huang 252 0.7× 46 0.2× 33 1.3× 10 0.5× 15 0.8× 13 521
Anand Madhavan 216 0.6× 174 0.9× 5 0.2× 15 0.8× 15 0.8× 8 440
Zheyan Shen 350 1.0× 187 0.9× 9 0.3× 4 0.2× 19 1.0× 17 490
Michał Koziarski 295 0.9× 100 0.5× 59 2.3× 15 0.8× 23 1.2× 20 535
Saeed Masoudnia 213 0.6× 125 0.6× 8 0.3× 8 0.4× 28 1.5× 18 432
Yashesh Dhebar 397 1.2× 210 1.0× 9 0.3× 33 1.6× 17 0.9× 9 531
Harshvardhan GM 161 0.5× 96 0.5× 10 0.4× 10 0.5× 45 2.4× 20 476
Junrong Zou 321 1.0× 85 0.4× 16 0.6× 12 0.6× 3 0.2× 10 472

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).

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.

Co-authorship network of co-authors of Tegan Maharaj

This figure shows the co-authorship network connecting the top 25 collaborators of Tegan Maharaj. A scholar is included among the top collaborators of Tegan Maharaj based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tegan Maharaj. Tegan Maharaj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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