Mohi Khansari

516 total citations
9 papers, 154 citations indexed

About

Mohi Khansari is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Mohi Khansari has authored 9 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Mohi Khansari's work include Robot Manipulation and Learning (7 papers), Reinforcement Learning in Robotics (4 papers) and Multimodal Machine Learning Applications (3 papers). Mohi Khansari is often cited by papers focused on Robot Manipulation and Learning (7 papers), Reinforcement Learning in Robotics (4 papers) and Multimodal Machine Learning Applications (3 papers). Mohi Khansari collaborates with scholars based in United States, Austria and China. Mohi Khansari's co-authors include Kanishka Rao, Alex Irpan, Julian Ibarz, C.J. Harris, Sergey Levine, Yunfei Bai, Eric Jang, Daniel E. Ho, Abhinav Gupta and Corey Lynch and has published in prestigious journals such as IEEE Transactions on Haptics and arXiv (Cornell University).

In The Last Decade

Mohi Khansari

9 papers receiving 151 citations

Peers

Mohi Khansari
Alex Irpan United States
Ashvin Nair United States
Toki Migimatsu United States
Tim Niemueller Germany
Arthur Bucker United Kingdom
Zhanpeng He United States
Simon Stepputtis United States
János Kramár United Kingdom
Deirdre Quillen United States
Bradly C. Stadie United States
Alex Irpan United States
Mohi Khansari
Citations per year, relative to Mohi Khansari Mohi Khansari (= 1×) peers Alex Irpan

Countries citing papers authored by Mohi Khansari

Since Specialization
Citations

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

Fields of papers citing papers by Mohi Khansari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohi Khansari

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

All Works

9 of 9 papers shown
1.
Okamura, Allison M., et al.. (2024). Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models. IEEE Transactions on Haptics. 17(4). 984–991. 1 indexed citations
2.
Ho, Daniel W. C., et al.. (2023). Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation. 5821–5828. 3 indexed citations
3.
Fu, Chuyuan, Jie Tan, C. Karen Liu, et al.. (2023). On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning. 33. 487–494. 1 indexed citations
4.
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
5.
Ho, Daniel E., et al.. (2021). RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer. 10920–10926. 50 indexed citations
6.
Jang, Eric, Daniel Kappler, Mohi Khansari, et al.. (2020). Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards. arXiv (Cornell University). 3 indexed citations
7.
Rao, Kanishka, C.J. Harris, Alex Irpan, et al.. (2020). RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real. 11154–11163. 83 indexed citations
8.
Pirk, Sören, Mohi Khansari, Yunfei Bai, Corey Lynch, & Pierre Sermanet. (2020). Online Learning of Object Representations by Appearance Space Feature Alignment. 10473–10479. 7 indexed citations
9.
Yan, Xinchen, Mohi Khansari, Yunfei Bai, et al.. (2017). Learning Grasping Interaction with Geometry-aware 3D Representations.. 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