Anca D. Dragan

8.2k total citations · 3 hit papers
96 papers, 4.0k citations indexed

About

Anca D. Dragan is a scholar working on Artificial Intelligence, Social Psychology and Control and Systems Engineering. According to data from OpenAlex, Anca D. Dragan has authored 96 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 34 papers in Social Psychology and 34 papers in Control and Systems Engineering. Recurrent topics in Anca D. Dragan's work include Reinforcement Learning in Robotics (32 papers), Robot Manipulation and Learning (30 papers) and Social Robot Interaction and HRI (25 papers). Anca D. Dragan is often cited by papers focused on Reinforcement Learning in Robotics (32 papers), Robot Manipulation and Learning (30 papers) and Social Robot Interaction and HRI (25 papers). Anca D. Dragan collaborates with scholars based in United States, Algeria and Italy. Anca D. Dragan's co-authors include Siddhartha S Srinivasa, Sanjit A. Seshia, S. Shankar Sastry, Dorsa Sadigh, Nathan Ratliff, Jodi Forlizzi, J. Andrew Bagnell, Matt Zucker, Matthew Klingensmith and Christopher M. Dellin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Proceedings of the IEEE.

In The Last Decade

Anca D. Dragan

91 papers receiving 3.8k citations

Hit Papers

CHOMP: Covariant Hamiltonian optimization for motion plan... 2013 2026 2017 2021 2013 2013 2025 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anca D. Dragan United States 32 1.9k 1.4k 1.3k 1.1k 487 96 4.0k
Yiannis Demiris United Kingdom 34 1.4k 0.7× 1.2k 0.8× 1.2k 0.9× 1.3k 1.2× 154 0.3× 235 4.3k
Rachid Alami France 26 1.3k 0.7× 1.1k 0.8× 1.2k 0.9× 1.4k 1.2× 151 0.3× 114 3.4k
Dirk Wollherr Germany 33 1.2k 0.6× 682 0.5× 691 0.5× 1.2k 1.1× 860 1.8× 183 3.4k
Alan C. Schultz United States 22 1.1k 0.6× 1.2k 0.9× 1.4k 1.1× 780 0.7× 101 0.2× 48 3.5k
Sonia Chernova United States 25 2.7k 1.4× 2.4k 1.7× 559 0.4× 1.1k 0.9× 103 0.2× 130 4.5k
Nicholas Roy United States 36 1.2k 0.6× 2.1k 1.5× 1.0k 0.8× 2.4k 2.1× 159 0.3× 85 4.9k
Aaron Steinfeld United States 31 505 0.3× 1.0k 0.7× 1.6k 1.2× 604 0.5× 370 0.8× 146 3.7k
Holly A. Yanco United States 31 896 0.5× 778 0.5× 1.7k 1.3× 680 0.6× 112 0.2× 134 3.6k
Brenna Argall United States 22 2.0k 1.0× 1.5k 1.0× 737 0.6× 719 0.6× 92 0.2× 72 4.7k
Maya Çakmak United States 34 1.7k 0.9× 1.9k 1.3× 1.3k 1.0× 959 0.9× 47 0.1× 132 4.3k

Countries citing papers authored by Anca D. Dragan

Since Specialization
Citations

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

Fields of papers citing papers by Anca D. Dragan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anca D. Dragan. 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 Anca D. Dragan. The network helps show where Anca D. Dragan may publish in the future.

Co-authorship network of co-authors of Anca D. Dragan

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

All Works

20 of 20 papers shown
1.
Smith, Lewis, et al.. (2024). Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2. 278–300. 4 indexed citations
2.
Kwon, Minae, et al.. (2024). Toward Grounded Commonsense Reasoning. 5463–5470. 7 indexed citations
3.
Knox, W. Bradley, et al.. (2024). Learning Optimal Advantage from Preferences and Mistaking It for Reward. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10066–10073. 3 indexed citations
4.
Russell, Stuart, et al.. (2024). A Generalized Acquisition Function for Preference-based Reward Learning. 2814–2821. 3 indexed citations
5.
Brown, Daniel S., et al.. (2023). The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 5983–5992. 9 indexed citations
6.
Lee, Kimin, Laura Smith, Anca D. Dragan, & Pieter Abbeel. (2021). B-Pref: Benchmarking Preference-Based Reinforcement Learning. arXiv (Cornell University). 3 indexed citations
7.
Milli, Smitha, et al.. (2020). Reward-rational (implicit) choice: A unifying formalism for reward learning. Neural Information Processing Systems. 33. 4415–4426. 4 indexed citations
8.
Abbeel, Pieter, et al.. (2019). On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference.. International Conference on Machine Learning. 5670–5679. 1 indexed citations
9.
Dragan, Anca D., et al.. (2019). SQIL: Imitation Learning via Regularized Behavioral Cloning.. arXiv (Cornell University). 13 indexed citations
10.
Xu, Kelvin, et al.. (2018). Few-Shot Intent Inference via Meta-Inverse Reinforcement Learning. 2 indexed citations
11.
Pandya, Ravi, et al.. (2018). Learning Human Ergonomic Preferences for Handovers. 3257–3264. 19 indexed citations
12.
Bajcsy, Andrea, Dylan P. Losey, Marcia K. O’Malley, & Anca D. Dragan. (2017). Learning Robot Objectives from Physical Human Interaction. Rice University's digital scholarship archive (Rice University). 78. 217–226. 38 indexed citations
13.
Hadfield-Menell, Dylan, Stuart Russell, Pieter Abbeel, & Anca D. Dragan. (2016). Cooperative Inverse Reinforcement Learning. arXiv (Cornell University). 29. 3909–3917. 56 indexed citations
14.
Liu, Chang, Jessica B. Hamrick, Jaime F. Fisac, et al.. (2016). Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. Adaptive Agents and Multi-Agents Systems. 940–948. 15 indexed citations
15.
Dragan, Anca D., Rachel Holladay, & Siddhartha S Srinivasa. (2015). Deceptive robot motion: synthesis, analysis and experiments. Autonomous Robots. 39(3). 331–345. 18 indexed citations
16.
Dragan, Anca D., Andrea L. Thomaz, & Siddhartha S Srinivasa. (2013). Collaborative manipulation: new challenges for robotics and HRI. Human-Robot Interaction. 435–436. 3 indexed citations
17.
Cha, Elizabeth, Anca D. Dragan, & Siddhartha S Srinivasa. (2013). Effects of robot capability on user acceptance. Human-Robot Interaction. 97–98. 4 indexed citations
18.
Dragan, Anca D., et al.. (2013). Legibility and predictability of robot motion. Human-Robot Interaction. 301–308. 217 indexed citations
19.
Klusek, Z., Paweł Majewski, & Anca D. Dragan. (2010). CW and CHIRP signals bottom backscattering in the PEZ of the Baltic sea. Hydroacoustics. 13(1). 135–142. 2 indexed citations
20.
Klusek, Z., et al.. (2010). Preliminary investigations on implementation of technology of broadband signals for marine biology and sediments recognition. Hydroacoustics. 13. 143–152. 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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