Noah Siegel

814 total citations
6 papers, 28 citations indexed

About

Noah Siegel is a scholar working on Artificial Intelligence, Pharmacology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Noah Siegel has authored 6 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Pharmacology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Noah Siegel's work include Reinforcement Learning in Robotics (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Adaptive Dynamic Programming Control (1 paper). Noah Siegel is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Adaptive Dynamic Programming Control (1 paper). Noah Siegel collaborates with scholars based in United States, United Kingdom and Germany. Noah Siegel's co-authors include Christian Schwarz, Jost Tobias Springenberg, Martin Riedmiller, Thomas Lampe, Felix Berkenkamp, Nicolas Heess, Abbas Abdolmaleki, Roland Hafner, Michael Neunert and Bobak Shahriari and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Noah Siegel

5 papers receiving 28 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Noah Siegel United States	3	21	7	6	4	3	6	28
Anton Raichuk United States	2	29 1.4×	7 1.0×	4 0.7×		1 0.3×	3	36
Seyed Kamyar Seyed Ghasemipour Canada	4	23 1.1×	6 0.9×	3 0.5×			4	29
Piotr Stańczyk Poland	3	31 1.5×	6 0.9×	3 0.5×		1 0.3×	7	43
Pierre‐Luc Bacon Canada	5	31 1.5×	6 0.9×	10 1.7×		2 0.7×	11	45
W. A. T. Wan Abdullah Malaysia	2	22 1.0×	3 0.4×	3 0.5×		3 1.0×	3	35
Arne Haber Germany	4	26 1.2×	5 0.7×	4 0.7×		4 1.3×	5	34
Andy E Williams Kenya	4	10 0.5×	5 0.7×	2 0.3×		5 1.7×	12	29
Karan Goel United States	4	21 1.0×	3 0.4×	3 0.5×		2 0.7×	10	34
Clare Lyle United Kingdom	4	24 1.1×	5 0.7×	2 0.3×			9	32
Junzhe Wang China	6	33 1.6×	2 0.3×	3 0.5×		4 1.3×	12	56

Countries citing papers authored by Noah Siegel

Since Specialization

Citations

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

Fields of papers citing papers by Noah Siegel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noah Siegel

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

6 of 6 papers shown

1.

Goodman, Noah D., et al.. (2024). On scalable oversight with weak LLMs judging strong LLMs. 75229–75276.

2.

Wulfmeier, Markus, Dushyant Rao, Roland Hafner, et al.. (2021). Data-efficient Hindsight Off-policy Option Learning. arXiv (Cornell University). 11340–11350. 3 indexed citations

3.

Bloesch, Michael, Jan Humplik, Viorica Pătrăucean, et al.. (2021). Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion. 2 indexed citations

4.

Wang, Ziyu, Alexander Novikov, Konrad Żołna, et al.. (2020). Critic Regularized Regression. arXiv (Cornell University). 33. 7768–7778. 1 indexed citations

5.

Siegel, Noah, Jost Tobias Springenberg, Felix Berkenkamp, et al.. (2020). Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning. arXiv (Cornell University). 17 indexed citations

6.

Siegel, Noah & Christian Schwarz. (2016). Mushrooms of the Redwood Coast: A Comprehensive Guide to the Fungi of Coastal Northern California. 5 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.

Explore authors with similar magnitude of impact