Marvin Zhang

865 total citations
4 papers, 131 citations indexed

About

Marvin Zhang is a scholar working on Artificial Intelligence, Automotive Engineering and Civil and Structural Engineering. According to data from OpenAlex, Marvin Zhang has authored 4 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Automotive Engineering and 1 paper in Civil and Structural Engineering. Recurrent topics in Marvin Zhang's work include Reinforcement Learning in Robotics (2 papers), Advanced Control Systems Optimization (1 paper) and Modular Robots and Swarm Intelligence (1 paper). Marvin Zhang is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Advanced Control Systems Optimization (1 paper) and Modular Robots and Swarm Intelligence (1 paper). Marvin Zhang collaborates with scholars based in United States and Germany. Marvin Zhang's co-authors include Sergey Levine, Stefan Schaal, Gaurav S. Sukhatme, Yevgen Chebotar, Karol Hausman, Pieter Abbeel, Ken Caluwaerts, Xinyang Geng, Vytas SunSpiral and Jonathan Bruce and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Marvin Zhang

4 papers receiving 124 citations

Peers

Marvin Zhang
Zeren Luo Hong Kong
Suyoung Choi South Korea
Kier Storey United Kingdom
Marvin Zhang
Citations per year, relative to Marvin Zhang Marvin Zhang (= 1×) peers Wojciech Rafajłowicz

Countries citing papers authored by Marvin Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Marvin Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marvin Zhang

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

All Works

4 of 4 papers shown
1.
Chebotar, Yevgen, Karol Hausman, Marvin Zhang, et al.. (2017). Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning. arXiv (Cornell University). 703–711. 58 indexed citations
2.
Zhang, Marvin, Xinyang Geng, Jonathan Bruce, et al.. (2017). Deep reinforcement learning for tensegrity robot locomotion. 634–641. 67 indexed citations
3.
Zhang, Marvin, et al.. (2016). Nifty Assignments. 588–589. 2 indexed citations
4.
Zhang, Marvin, Sergey Levine, Zoe McCarthy, Chelsea Finn, & Pieter Abbeel. (2015). Policy Learning with Continuous Memory States for Partially Observed Robotic Control.. 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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2026