Frederik Ebert

1.2k total citations
5 papers, 115 citations indexed

About

Frederik Ebert is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Frederik Ebert has authored 5 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Frederik Ebert's work include Reinforcement Learning in Robotics (3 papers), Multimodal Machine Learning Applications (2 papers) and Robot Manipulation and Learning (2 papers). Frederik Ebert is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Multimodal Machine Learning Applications (2 papers) and Robot Manipulation and Learning (2 papers). Frederik Ebert collaborates with scholars based in United States. Frederik Ebert's co-authors include Sergey Levine, Chelsea Finn, Dinesh Jayaraman, Mayur Mudigonda, Roberto Calandra, Stephen Tian, Alex X. Lee, Aviral Kumar, Sudeep Dasari and Anikait Singh and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Learning Representations.

In The Last Decade

Frederik Ebert

5 papers receiving 108 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frederik Ebert United States	4	67	46	45	37	23	5	115
Stephen Tian United States	4	78 1.2×	47 1.0×	47 1.0×	44 1.2×	36 1.6×	8	156
Nutan Chen Germany	6	86 1.3×	29 0.6×	51 1.1×	72 1.9×	50 2.2×	15	175
Sanket Kamthe United Kingdom	3	122 1.8×	22 0.5×	52 1.2×	62 1.7×	41 1.8×	4	177
Arthur Allshire Switzerland	4	80 1.2×	16 0.3×	32 0.7×	35 0.9×	23 1.0×	5	108
Maximilian Karl Germany	4	69 1.0×	20 0.4×	35 0.8×	54 1.5×	33 1.4×	9	125
Cewu Lu China	5	41 0.6×	12 0.3×	19 0.4×	31 0.8×	36 1.6×	12	122
Erdem Erdemir United States	7	73 1.1×	24 0.5×	197 4.4×	71 1.9×	31 1.3×	17	305
Sudeep Dasari United States	6	41 0.6×	12 0.3×	15 0.3×	28 0.8×	50 2.2×	12	114
Suraj Nair United States	6	85 1.3×	8 0.2×	59 1.3×	65 1.8×	56 2.4×	7	181
Alexander Bannat Germany	8	83 1.2×	24 0.5×	18 0.4×	24 0.6×	58 2.5×	16	199

Countries citing papers authored by Frederik Ebert

Since Specialization

Citations

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

Fields of papers citing papers by Frederik Ebert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederik Ebert

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

All Works

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5 of 5 papers shown

1.

Kumar, Aviral, et al.. (2023). Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials. 18 indexed citations

2.

Tian, Stephen, Suraj Nair, Frederik Ebert, et al.. (2021). Model-Based Visual Planning with Self-Supervised Functional Distances. International Conference on Learning Representations. 1 indexed citations

3.

Pertsch, Karl, et al.. (2020). Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors. Neural Information Processing Systems. 33. 17321–17333. 7 indexed citations

4.

Tian, Stephen, Frederik Ebert, Dinesh Jayaraman, et al.. (2019). Manipulation by Feel: Touch-Based Control with Deep Predictive Models. 818–824. 74 indexed citations

5.

Ebert, Frederik, Sudeep Dasari, Alex X. Lee, Sergey Levine, & Chelsea Finn. (2018). Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning. arXiv (Cornell University). 983–993. 15 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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