Tegan Maharaj

3.4k total citations · 1 hit paper
10 papers, 459 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 459 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 Stochastic Gradient Optimization Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Ethics and Social Impacts of AI (2 papers). Tegan Maharaj is often cited by papers focused on Stochastic Gradient Optimization Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Ethics and Social Impacts of AI (2 papers). Tegan Maharaj collaborates with scholars based in Canada, Germany and United States. Tegan Maharaj's co-authors include Aaron Courville, Nicolas Ballas, David Krueger, Emmanuel Bengio, Stanisław Jastrzȩbski, Devansh Arpit, Asja Fischer, Maxinder S Kanwal, 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 446 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A closer look at memorization in deep networks

2017 344 citations Devansh Arpit, Stanisław Jastrzȩbski et al. Jagiellonian University Repository (Jagiellonian University) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tegan Maharaj Canada	6	339	205	26	20	19	10	459
Emmanuel Bengio Canada	3	303 0.9×	157 0.8×	25 1.0×	20 1.0×	18 0.9×	4	379
Maxinder S Kanwal Poland	2	292 0.9×	157 0.8×	25 1.0×	20 1.0×	18 0.9×	2	367
Langming Liu China	3	154 0.5×	142 0.7×	4 0.2×	12 0.6×	18 0.9×	6	370
Renzhe Xu China	7	181 0.5×	105 0.5×	8 0.3×	4 0.2×	12 0.6×	17	276
Chi-Min Chan China	4	254 0.7×	81 0.4×	4 0.2×	11 0.6×	19 1.0×	5	469
Jie Fu China	12	354 1.0×	113 0.6×	5 0.2×	6 0.3×	9 0.5×	36	527
Shuo Zhou Australia	8	133 0.4×	86 0.4×	24 0.9×	7 0.3×	25 1.3×	20	286
Biao Wang China	10	181 0.5×	189 0.9×	8 0.3×	11 0.6×	7 0.4×	42	327
Weize Chen China	3	226 0.7×	67 0.3×	4 0.2×	11 0.6×	18 0.9×	5	440

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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10 of 10 papers shown

1.

Lee, Justin, et al.. (2024). Methods, Applications, and Directions of Learning-to-Rank in NLP Research. 1900–1917.

2.

Maharaj, Tegan, et al.. (2024). Beyond Predictive Algorithms in Child Welfare. Graphics Interface. 1–13.

3.

Maharaj, Tegan, Nasim Rahaman, Hannah Alsdurf, et al.. (2023). Proactive Contact Tracing. SHILAP Revista de lepidopterología. 2(3). e0000199–e0000199. 7 indexed citations

4.

Avin, Shahar, Haydn Belfield, Miles Brundage, et al.. (2021). Filling gaps in trustworthy development of AI. Science. 374(6573). 1327–1329. 26 indexed citations

5.

Kashinath, Karthik, Samira Ebrahimi Kahou, Tegan Maharaj, et al.. (2017). ClimateNet: A Machine Learning dataset for Climate Science Research. AGU Fall Meeting Abstracts. 2017. 1 indexed citations

6.

Mudigonda, Mayur, Karthik Kashinath, Christopher Beckham, et al.. (2017). Deep Learning for Extreme Weather Detection. AGU Fall Meeting Abstracts. 2017. 3 indexed citations

7.

Krueger, David, Nicolas Ballas, Stanisław Jastrzȩbski, et al.. (2017). Deep Nets Don't Learn via Memorization. PolyPublie (École Polytechnique de Montréal). 23 indexed citations

8.

Racah, Evan, Christopher Beckham, Tegan Maharaj, Prabhat, & Christopher Pal. (2017). Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets. arXiv (Cornell University). 7 indexed citations

9.

Arpit, Devansh, Stanisław Jastrzȩbski, Nicolas Ballas, et al.. (2017). A closer look at memorization in deep networks. Jagiellonian University Repository (Jagiellonian University). 70. 233–242. 344 indexed citations breakdown →

10.

Maharaj, Tegan, Nicolas Ballas, Anna Rohrbach, Aaron Courville, & Christopher Pal. (2017). A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering. PolyPublie (École Polytechnique de Montréal). 7359–7368. 48 indexed citations

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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