Anurag Ajay

485 total citations
5 papers, 124 citations indexed

About

Anurag Ajay is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anurag Ajay has authored 5 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anurag Ajay's work include Reinforcement Learning in Robotics (3 papers), Robot Manipulation and Learning (2 papers) and Human Pose and Action Recognition (1 paper). Anurag Ajay is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Robot Manipulation and Learning (2 papers) and Human Pose and Action Recognition (1 paper). Anurag Ajay collaborates with scholars based in United States, Türkiye and Germany. Anurag Ajay's co-authors include Sergey Levine, Pieter Abbeel, Tuomas Haarnoja, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodríguez, Leslie Pack Kaelbling, Maria Bauzá, Jiajun Wu and Faisal Mahmood and has published in prestigious journals such as IEEE Robotics and Automation Letters and Neural Information Processing Systems.

In The Last Decade

Anurag Ajay

4 papers receiving 118 citations

Peers

Anurag Ajay
Suyoung Choi South Korea
Florian Golemo Canada
Tobia Marcucci United States
Sung-Kyun Kim United States
Ashvin Nair United States
Haozhi Cao Singapore
Lebsework Negash Lemma Ethiopia
Samet Güler Türkiye
Songsong Wu China
Jiehong Lin China
Suyoung Choi South Korea
Anurag Ajay
Citations per year, relative to Anurag Ajay Anurag Ajay (= 1×) peers Suyoung Choi

Countries citing papers authored by Anurag Ajay

Since Specialization
Citations

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

Fields of papers citing papers by Anurag Ajay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anurag Ajay

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

All Works

5 of 5 papers shown
1.
Agrawal, Pulkit, et al.. (2024). Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient. 38456–38479.
2.
Turan, Mehmet, Yasin Almalıoğlu, Hunter B. Gilbert, et al.. (2019). Learning to Navigate Endoscopic Capsule Robots. IEEE Robotics and Automation Letters. 4(3). 3075–3082. 23 indexed citations
3.
Ajay, Anurag, Jiajun Wu, Nima Fazeli, et al.. (2018). Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. 52 indexed citations
4.
Montgomery, William, Anurag Ajay, Chelsea Finn, Pieter Abbeel, & Sergey Levine. (2017). Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states. 3373–3380. 16 indexed citations
5.
Haarnoja, Tuomas, Anurag Ajay, Sergey Levine, & Pieter Abbeel. (2016). Backprop KF: learning discriminative deterministic state estimators. Neural Information Processing Systems. 29. 4383–4391. 33 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