Eric Jang

5.8k total citations · 1 hit paper
13 papers, 598 citations indexed

About

Eric Jang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eric Jang has authored 13 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 6 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eric Jang's work include Robot Manipulation and Learning (6 papers), Advanced Vision and Imaging (3 papers) and Reinforcement Learning in Robotics (3 papers). Eric Jang is often cited by papers focused on Robot Manipulation and Learning (6 papers), Advanced Vision and Imaging (3 papers) and Reinforcement Learning in Robotics (3 papers). Eric Jang collaborates with scholars based in United States, Austria and Germany. Eric Jang's co-authors include Sergey Levine, Stefan Schaal, Corey Lynch, Jasmine Hsu, Yevgen Chebotar, Pierre Sermanet, Ben Poole, Shixiang Gu, Alexander Toshev and Fereshteh Sadeghi and has published in prestigious journals such as Frontiers in Neural Circuits, arXiv (Cornell University) and MPG.PuRe (Max Planck Society).

In The Last Decade

Eric Jang

13 papers receiving 567 citations

Hit Papers

align trajectories

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.

Time-Contrastive Networks: Self-Supervised Learning from Video

2018 305 citations Pierre Sermanet, Corey Lynch et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Jang United States	8	331	305	236	74	43	13	598
Corey Lynch United States	8	315 1.0×	303 1.0×	180 0.8×	35 0.5×	29 0.7×	12	552
Ahmed Hussein United Kingdom	3	301 0.9×	166 0.5×	219 0.9×	64 0.9×	48 1.1×	4	618
Julian Ibarz United States	6	318 1.0×	142 0.5×	337 1.4×	139 1.9×	40 0.9×	11	635
Beomjoon Kim South Korea	14	191 0.6×	218 0.7×	141 0.6×	35 0.5×	47 1.1×	32	435
Valts Blukis United States	10	290 0.9×	326 1.1×	181 0.8×	24 0.3×	68 1.6×	16	633
Matteo Leonetti United Kingdom	15	262 0.8×	127 0.4×	145 0.6×	52 0.7×	29 0.7×	40	535
Michele Colledanchise Sweden	11	465 1.4×	221 0.7×	190 0.8×	35 0.5×	90 2.1×	24	784
Arnau Ramisa Spain	14	171 0.5×	492 1.6×	127 0.5×	51 0.7×	158 3.7×	34	680
Danijar Hafner United States	8	298 0.9×	136 0.4×	188 0.8×	202 2.7×	64 1.5×	15	607

Countries citing papers authored by Eric Jang

Since Specialization

Citations

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

Fields of papers citing papers by Eric Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Jang. A scholar is included among the top collaborators of Eric Jang 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 Eric Jang. Eric Jang 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:

13 of 13 papers shown

1.

Khansari, Mohi, Daniel E. Ho, Yuqing Du, et al.. (2023). Practical Visual Deep Imitation Learning via Task-Level Domain Consistency. 1837–1844. 2 indexed citations

2.

Ho, Daniel E., et al.. (2021). RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer. 10920–10926. 50 indexed citations

3.

Jang, Eric, et al.. (2020). Meta-Learning Requires Meta-Augmentation. arXiv (Cornell University). 33. 5705–5715. 4 indexed citations

4.

Jang, Eric, Daniel Kappler, Mohi Khansari, et al.. (2020). Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards. arXiv (Cornell University). 3 indexed citations

5.

Xiao, Ted, Eric Jang, Dmitry Kalashnikov, et al.. (2020). Thinking While Moving: Deep Reinforcement Learning with Concurrent Control. arXiv (Cornell University). 1 indexed citations

6.

Jang, Eric, Coline Devin, Vincent Vanhoucke, & Sergey Levine. (2018). Grasp2Vec: Learning Object Representations from Self-Supervised Grasping.. 99–112. 12 indexed citations

7.

Kalashnikov, Dmitry, Alex Irpan, Peter Pástor, et al.. (2018). QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation. 651–673. 71 indexed citations

8.

Jang, Eric, et al.. (2018). Generative Ensembles for Robust Anomaly Detection. 25 indexed citations

9.

Sermanet, Pierre, Corey Lynch, Yevgen Chebotar, et al.. (2018). Time-Contrastive Networks: Self-Supervised Learning from Video. 1134–1141. 305 indexed citations breakdown →

10.

Sadeghi, Fereshteh, Alexander Toshev, Eric Jang, & Sergey Levine. (2018). Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control. 4691–4699. 60 indexed citations

11.

Jang, Eric, et al.. (2017). End-to-End Learning of Semantic Grasping. 119–132. 13 indexed citations

12.

Jang, Eric, Shixiang Gu, & Ben Poole. (2017). Categorical Reparametrization with Gumble-Softmax. MPG.PuRe (Max Planck Society). 47 indexed citations

13.

Jang, Eric, et al.. (2016). Emergence of Selectivity to Looming Stimuli in a Spiking Network Model of the Optic Tectum. Frontiers in Neural Circuits. 10. 95–95. 5 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.

Explore authors with similar magnitude of impact