Thomas Lampe

2.0k total citations
17 papers, 707 citations indexed

About

Thomas Lampe is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Thomas Lampe has authored 17 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 5 papers in Materials Chemistry. Recurrent topics in Thomas Lampe's work include Reinforcement Learning in Robotics (7 papers), Organic Electronics and Photovoltaics (5 papers) and Luminescence and Fluorescent Materials (4 papers). Thomas Lampe is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Organic Electronics and Photovoltaics (5 papers) and Luminescence and Fluorescent Materials (4 papers). Thomas Lampe collaborates with scholars based in Germany, United States and United Kingdom. Thomas Lampe's co-authors include Wolfgang Brütting, Tobias D. Schmidt, Mark E. Thompson, Peter I. Djurovich, Matthew J. Jurow, Martin Riedmiller, Christian Mayr, Daniel Sylvinson Muthiah Ravinson, Jost Tobias Springenberg and Michael Neunert and has published in prestigious journals such as Nature Materials, Nano Letters and Applied Physics Letters.

In The Last Decade

Thomas Lampe

17 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Lampe Germany 10 485 335 104 81 79 17 707
Yulin Chen China 16 799 1.6× 237 0.7× 41 0.4× 26 0.3× 82 1.0× 55 970
Martin Kotyrba Czechia 12 442 0.9× 360 1.1× 74 0.7× 18 0.2× 97 1.2× 52 709
Wenping Hu China 14 273 0.6× 232 0.7× 33 0.3× 20 0.2× 78 1.0× 67 552
Jieqiong Chen China 11 858 1.8× 396 1.2× 61 0.6× 26 0.3× 72 0.9× 18 1.1k
Jiwon Lee South Korea 16 538 1.1× 306 0.9× 42 0.4× 18 0.2× 88 1.1× 88 912
Dongliang Yang China 17 514 1.1× 244 0.7× 74 0.7× 21 0.3× 145 1.8× 43 711
Yue Jin China 10 346 0.7× 234 0.7× 32 0.3× 12 0.1× 90 1.1× 37 588
Lingzhi Luo China 16 370 0.8× 263 0.8× 106 1.0× 26 0.3× 23 0.3× 41 787

Countries citing papers authored by Thomas Lampe

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Lampe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Lampe

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

All Works

17 of 17 papers shown
1.
Lampe, Thomas, Abbas Abdolmaleki, Sandy H. Huang, et al.. (2024). Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. 5. 7772–7779. 1 indexed citations
2.
Lee, Alex X., Coline Devin, Jost Tobias Springenberg, et al.. (2022). How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4 indexed citations
3.
Wulfmeier, Markus, Dushyant Rao, Roland Hafner, et al.. (2021). Data-efficient Hindsight Off-policy Option Learning. arXiv (Cornell University). 11340–11350. 3 indexed citations
4.
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
5.
Aytar, Yusuf, et al.. (2020). Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation. 2718–2724. 31 indexed citations
6.
Schwab, Devin, Jost Tobias Springenberg, Thomas Lampe, et al.. (2019). Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup. arXiv (Cornell University). 15. 2 indexed citations
7.
Riedmiller, Martin, Roland Hafner, Thomas Lampe, et al.. (2018). Learning by Playing - Solving Sparse Reward Tasks from Scratch. International Conference on Machine Learning. 4344–4353. 48 indexed citations
8.
Jurow, Matthew J., Thomas Lampe, Erika Penzo, et al.. (2017). Tunable Anisotropic Photon Emission from Self-Organized CsPbBr3 Perovskite Nanocrystals. Nano Letters. 17(7). 4534–4540. 74 indexed citations
9.
Schmidt, Tobias D., Thomas Lampe, Daniel Sylvinson Muthiah Ravinson, et al.. (2017). Emitter Orientation as a Key Parameter in Organic Light-Emitting Diodes. Physical Review Applied. 8(3). 167 indexed citations
10.
Lampe, Thomas, Tobias D. Schmidt, Matthew J. Jurow, et al.. (2016). Dependence of Phosphorescent Emitter Orientation on Deposition Technique in Doped Organic Films. Chemistry of Materials. 28(3). 712–715. 51 indexed citations
11.
Schackmar, Fabian, Thomas Lampe, Amos Egel, et al.. (2016). Tuning the Microcavity of Organic Light Emitting Diodes by Solution Processable Polymer–Nanoparticle Composite Layers. ACS Applied Materials & Interfaces. 8(4). 2666–2672. 9 indexed citations
12.
Jurow, Matthew J., Christian Mayr, Tobias D. Schmidt, et al.. (2015). Understanding and predicting the orientation of heteroleptic phosphors in organic light-emitting materials. Nature Materials. 15(1). 85–91. 217 indexed citations
13.
14.
Lampe, Thomas & Martin Riedmiller. (2014). Approximate model-assisted Neural Fitted Q-Iteration. 2698–2704. 12 indexed citations
15.
16.
Boedecker, Joschka, Thomas Lampe, & Martin Riedmiller. (2013). Modeling effects of intrinsic and extrinsic rewards on the competition between striatal learning systems. Frontiers in Psychology. 4. 739–739. 8 indexed citations
17.
Lampe, Thomas & Martin Riedmiller. (2013). Acquiring visual servoing reaching and grasping skills using neural reinforcement learning. 1–8. 37 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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