Alex Irpan

2.8k total citations
5 papers, 170 citations indexed

About

Alex Irpan is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alex Irpan has authored 5 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alex Irpan's work include Robot Manipulation and Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Alex Irpan is often cited by papers focused on Robot Manipulation and Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Alex Irpan collaborates with scholars based in United States and United Kingdom. Alex Irpan's co-authors include Sergey Levine, Julian Ibarz, Mohi Khansari, C.J. Harris, Kanishka Rao, Eric Jang, Alexander Herzog, Dmitry Kalashnikov, Vincent Vanhoucke and Deirdre Quillen and has published in prestigious journals such as arXiv (Cornell University) and Uncertainty in Artificial Intelligence.

In The Last Decade

Alex Irpan

4 papers receiving 158 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alex Irpan United States	4	101	95	61	42	8	5	170
Deirdre Quillen United States	3	118 1.2×	72 0.8×	46 0.8×	35 0.8×	5 0.6×	3	173
Mohi Khansari United States	4	84 0.8×	77 0.8×	80 1.3×	23 0.5×	5 0.6×	9	154
Zhanpeng He United States	7	78 0.8×	70 0.7×	52 0.9×	22 0.5×	3 0.4×	18	181
Arthur Bucker United Kingdom	3	133 1.3×	76 0.8×	96 1.6×	15 0.4×	8 1.0×	3	252
Bradly C. Stadie United States	5	124 1.2×	65 0.7×	57 0.9×	13 0.3×	4 0.5×	9	177
Simon Stepputtis United States	8	78 0.8×	112 1.2×	60 1.0×	30 0.7×	4 0.5×	20	213
János Kramár United Kingdom	4	90 0.9×	80 0.8×	43 0.7×	32 0.8×	12 1.5×	8	152
Jacob Arkin United States	8	156 1.5×	66 0.7×	109 1.8×	9 0.2×	5 0.6×	17	262
Ashvin Nair United States	4	109 1.1×	89 0.9×	81 1.3×	24 0.6×	6 0.8×	4	181
Toki Migimatsu United States	7	115 1.1×	125 1.3×	98 1.6×	17 0.4×	4 0.5×	12	253

Countries citing papers authored by Alex Irpan

Since Specialization

Citations

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

Fields of papers citing papers by Alex Irpan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Irpan

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

All Works

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5 of 5 papers shown

1.

Irpan, Alex, et al.. (2025). STEER: Flexible Robotic Manipulation via Dense Language Grounding. 16517–16524.

2.

Rao, Kanishka, C.J. Harris, Alex Irpan, et al.. (2020). RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real. 11154–11163. 83 indexed citations

3.

Hafner, Danijar, Dustin Tran, Alex Irpan, Timothy Lillicrap, & James Davidson. (2018). Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors. arXiv (Cornell University). 12 indexed citations

4.

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

5.

Hafner, Danijar, Dustin Tran, Timothy Lillicrap, Alex Irpan, & James Davidson. (2018). Noise Contrastive Priors for Functional Uncertainty. Uncertainty in Artificial Intelligence. 905–914. 4 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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