Dorsa Sadigh

7.4k total citations · 1 hit paper
85 papers, 1.9k citations indexed

About

Dorsa Sadigh is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dorsa Sadigh has authored 85 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 29 papers in Control and Systems Engineering and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dorsa Sadigh's work include Reinforcement Learning in Robotics (22 papers), Robot Manipulation and Learning (17 papers) and Formal Methods in Verification (14 papers). Dorsa Sadigh is often cited by papers focused on Reinforcement Learning in Robotics (22 papers), Robot Manipulation and Learning (17 papers) and Formal Methods in Verification (14 papers). Dorsa Sadigh collaborates with scholars based in United States, United Kingdom and France. Dorsa Sadigh's co-authors include Sanjit A. Seshia, S. Shankar Sastry, Anca D. Dragan, Vasumathi Raman, Alexandre Donzé, Ashish Kapoor, Richard M. Murray, Erdem Bıyık, Shankar Sastry and Ramtin Pedarsani and has published in prestigious journals such as Communications of the ACM, The International Journal of Robotics Research and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Dorsa Sadigh

79 papers receiving 1.9k 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.

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities

2024 56 citations Brian Ichter, Dorsa Sadigh et al. profile →

Peers

Dorsa Sadigh

AI

CSE

AE

CVPR

CTM

Fernando Fernández Spain

Markus Maurer Germany

Philip Koopman United States

Jonathan Sprinkle United States

Wilko Schwarting United States

Karl Koscher United States

Tsz-Chiu Au United States

Mohammad Abdullah Al Faruque United States

Hadas Kress‐Gazit United States

Matthijs T. J. Spaan Netherlands

Fernando Fernández Spain

Dorsa Sadigh

1.0k ×1.2

AI

503 ×0.7

CSE

166 ×0.4

AE

191 ×0.5

CVPR

182 ×0.5

CTM

Citations per year, relative to Dorsa Sadigh Dorsa Sadigh (= 1×) peers Fernando Fernández

Countries citing papers authored by Dorsa Sadigh

Since Specialization

Citations

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

Fields of papers citing papers by Dorsa Sadigh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dorsa Sadigh

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

20 of 20 papers shown

1.

Mirchandani, Suvir, Ashwin Balakrishna, Annie Xie, et al.. (2025). Robot Data Curation with Mutual Information Estimators.

2.

Karamcheti, Siddharth, et al.. (2025). ProVox: Personalization and Proactive Planning for Situated Human-Robot Collaboration. IEEE Robotics and Automation Letters. 10(8). 8451–8458. 1 indexed citations

3.

Xia, Fei, Ted Xiao, Jia-Jun Wu, et al.. (2024). Physically Grounded Vision-Language Models for Robotic Manipulation. 12462–12469. 38 indexed citations

4.

Kwon, Minae, et al.. (2024). Toward Grounded Commonsense Reasoning. 5463–5470. 7 indexed citations

5.

Dixit, Anushri, et al.. (2024). Explore until Confident: Efficient Exploration for Embodied Question Answering. 9 indexed citations

6.

Hu, Hengyuan, Suvir Mirchandani, & Dorsa Sadigh. (2024). Imitation Bootstrapped Reinforcement Learning. 6 indexed citations

7.

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

8.

Cui, Yuchen, et al.. (2024). Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections. 15172–15179. 10 indexed citations

9.

Karamcheti, Siddharth, Suraj Nair, Annie Chen, et al.. (2023). Language-Driven Representation Learning for Robotics. 34 indexed citations

10.

Toghi, Behrad, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, & Yaser P. Fallah. (2022). Social Coordination and Altruism in Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 23(12). 24791–24804. 54 indexed citations

11.

Cao, Zhangjie, Erdem Bıyık, Guy Rosman, & Dorsa Sadigh. (2022). Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. 2022 International Conference on Robotics and Automation (ICRA). 10723–10730. 5 indexed citations

12.

Kress‐Gazit, Hadas, Kerstin Eder, Guy Hoffman, et al.. (2021). . Radboud Repository (Radboud University). 24 indexed citations

13.

Cao, Zhangjie, Minae Kwon, & Dorsa Sadigh. (2021). Transfer Reinforcement Learning Across Homotopy Classes. IEEE Robotics and Automation Letters. 6(2). 2706–2713. 12 indexed citations

14.

Karamcheti, Siddharth, et al.. (2021). Learning Visually Guided Latent Actions for Assistive Teleoperation. 1230–1241. 2 indexed citations

15.

Losey, Dylan P., Mengxi Li, Jeannette Bohg, & Dorsa Sadigh. (2019). Learning from My Partner’s Actions: Roles in Decentralized Robot Teams. arXiv (Cornell University). 752–765. 4 indexed citations

16.

Sadigh, Dorsa. (2019). Influencing Interactions between Human Drivers and Autonomous Vehicles. 49(4). 3 indexed citations

17.

Song, Jiaming, Hongyu Ren, Dorsa Sadigh, & Stefano Ermon. (2018). Multi-Agent Generative Adversarial Imitation Learning. arXiv (Cornell University). 31. 7461–7472. 25 indexed citations

18.

Dey, Debadeepta, Dorsa Sadigh, & Ashish Kapoor. (2016). Fast Safe Mission Plans for Autonomous Vehicles. 5 indexed citations

19.

Sadigh, Dorsa, Katherine Driggs-Campbell, Alberto Puggelli, et al.. (2014). Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior. eScholarship (California Digital Library). 56–61. 38 indexed citations

20.

Sadigh, Dorsa, et al.. (2011). Timing analysis of interrupt-driven programs under context bounds. 81–90. 13 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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