Harris Chan

652 total citations
6 papers, 51 citations indexed

About

Harris Chan is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Harris Chan has authored 6 papers receiving a total of 51 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in Harris Chan's work include Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Data Classification (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Harris Chan is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Data Classification (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Harris Chan collaborates with scholars based in Canada. Harris Chan's co-authors include Jimmy Ba, Bradly C. Stadie, Ted Xiao, Pierre Sermanet, Ayzaan Wahid, Anthony Brohan, Karol Hausman, Sergey Levine, Jonathan Tompson and Eman Hammad and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Artificial Intelligence and Statistics.

In The Last Decade

Harris Chan

6 papers receiving 50 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Harris Chan Canada	3	34	22	18	7	6	6	51
Coline Devin United States	4	56 1.6×	27 1.2×	33 1.8×	4 0.6×	5 0.8×	7	75
I. Babuschkin United States	3	45 1.3×	16 0.7×	5 0.3×	4 0.6×	2 0.3×	6	66
Sumith Kulal United States	4	21 0.6×	18 0.8×	8 0.4×	9 1.3×	2 0.3×	7	43
Mozhdeh Gheini United States	2	31 0.9×	22 1.0×	6 0.3×	4 0.6×	2 0.3×	5	74
Anthony Brohan United States	2	28 0.8×	37 1.7×	31 1.7×	2 0.3×	12 2.0×	2	60
A. Steven Younger United States	2	42 1.2×	11 0.5×	13 0.7×	6 0.9×	2 0.3×	6	59
Stefan Depeweg Germany	4	60 1.8×	10 0.5×	14 0.8×	5 0.7×	1 0.2×	7	84
Robin Strudel France	3	22 0.6×	24 1.1×	15 0.8×	1 0.1×	3 0.5×	5	48
Aravind Srinivas United States	3	32 0.9×	25 1.1×	16 0.9×	2 0.3×	2 0.3×	5	42
Nur Muhammad Mahi Shafiullah United States	3	34 1.0×	46 2.1×	22 1.2×		15 2.5×	6	84

Countries citing papers authored by Harris Chan

Since Specialization

Citations

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

Fields of papers citing papers by Harris Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harris Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Harris Chan. A scholar is included among the top collaborators of Harris Chan 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 Harris Chan. Harris Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Xiao, Ted, Harris Chan, Pierre Sermanet, et al.. (2023). Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models. 22 indexed citations

2.

Wen, Yeming, et al.. (2020). An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise. International Conference on Artificial Intelligence and Statistics. 3621–3631. 1 indexed citations

3.

Chan, Harris, et al.. (2020). An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. arXiv (Cornell University). 1 indexed citations

4.

Chan, Harris, et al.. (2020). Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. arXiv (Cornell University). 1. 7750–7761. 18 indexed citations

5.

Wen, Yeming, et al.. (2019). Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise.. arXiv (Cornell University). 7 indexed citations

6.

Chan, Harris, Eman Hammad, & Deepa Kundur. (2016). Investigating the impact of intrusion detection system performance on communication latency and power system stability. 1–6. 2 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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