Karl Pertsch

1.6k total citations
10 papers, 80 citations indexed

About

Karl Pertsch is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Karl Pertsch has authored 10 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Karl Pertsch's work include Robot Manipulation and Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Distributed and Parallel Computing Systems (2 papers). Karl Pertsch is often cited by papers focused on Robot Manipulation and Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Distributed and Parallel Computing Systems (2 papers). Karl Pertsch collaborates with scholars based in United States, South Korea and Canada. Karl Pertsch's co-authors include Sergey Levine, Chelsea Finn, Zheyuan Hu, Joseph J. Lim, Tony Z. Zhao, Archit Sharma, Quan Vuong, Ted Xiao, Stefanos Nikolaidis and Dorsa Sadigh and has published in prestigious journals such as arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Karl Pertsch

9 papers receiving 75 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karl Pertsch United States	5	35	32	31	8	6	10	80
Russell Mendonca United States	4	41 1.2×	41 1.3×	39 1.3×	3 0.4×	3 0.5×	7	86
Ayzaan Wahid United States	4	40 1.1×	31 1.0×	43 1.4×	6 0.8×	4 0.7×	5	83
Soroush Nasiriany United States	5	52 1.5×	55 1.7×	30 1.0×	10 1.3×	4 0.7×	9	107
Nur Muhammad Mahi Shafiullah United States	3	34 1.0×	22 0.7×	46 1.5×	6 0.8×	4 0.7×	6	84
Siddharth Karamcheti United States	7	73 2.1×	29 0.9×	42 1.4×	2 0.3×	6 1.0×	11	114
Yuping Luo United States	5	36 1.0×	16 0.5×	19 0.6×	4 0.5×	2 0.3×	16	73
Keerthana Gopalakrishnan United States	2	39 1.1×	20 0.6×	56 1.8×	5 0.6×	4 0.7×	3	87
Robin Strudel France	3	22 0.6×	15 0.5×	24 0.8×	3 0.4×		5	48
Hitoshi Miyata Japan	6	17 0.5×	27 0.8×	27 0.9×	4 0.5×	2 0.3×	22	82
Zhuo Xu United States	4	26 0.7×	10 0.3×	34 1.1×	2 0.3×	3 0.5×	7	74

Countries citing papers authored by Karl Pertsch

Since Specialization

Citations

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

Fields of papers citing papers by Karl Pertsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Pertsch

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Pertsch. A scholar is included among the top collaborators of Karl Pertsch 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 Karl Pertsch. Karl Pertsch 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.

Pertsch, Karl, Brian Ichter, Danny Driess, et al.. (2025). FAST: Efficient Action Tokenization for Vision-Language-Action Models. 6 indexed citations

2.

Zhang, Jesse, Karl Pertsch, Jiahui Zhang, & Joseph J. Lim. (2024). SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling. 9168–9175. 3 indexed citations

3.

Walke, Homer, Karl Pertsch, Kevin Black, et al.. (2024). Octo: An Open-Source Generalist Robot Policy. 29 indexed citations

4.

Hu, Zheyuan, Tony Z. Zhao, Archit Sharma, et al.. (2024). Yell At Your Robot: Improving On-the-Fly from Language Corrections. 20 indexed citations

5.

Pertsch, Karl, et al.. (2023). PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. 11 indexed citations

6.

Pertsch, Karl, et al.. (2020). Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors. Neural Information Processing Systems. 33. 17321–17333. 7 indexed citations

7.

Yamada, Jun, Youngwoon Lee, Gautam Salhotra, et al.. (2020). Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments. 589–603. 1 indexed citations

8.

Yamada, Jun, Gautam Salhotra, Youngwoon Lee, et al.. (2020). Motion Planner Augmented Action Spaces for Reinforcement Learning. 1 indexed citations

9.

Pertsch, Karl, et al.. (2018). Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction.. arXiv (Cornell University). 1 indexed citations

10.

Jafari, Omid Hosseini, Siva Karthik Mustikovela, Karl Pertsch, Eric Brachmann, & Carsten Rother. (2017). The Best of Both Worlds: Learning Geometry-based 6D Object Pose Estimation.. arXiv (Cornell University). 1 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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