Thomas Lampe
Impact in
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- Organic Light-Emitting Diodes Research
- Organic Electronics and Photovoltaics
- Perovskite Materials and Applications
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- Luminescence and Fluorescent Materials
- Quantum Dots Synthesis And Properties
Papers in
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- Reinforcement Learning in Robotics 8
- Adversarial Robustness in Machine Learning 2
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- Luminescence and Fluorescent Materials 4
- Co-authors
- Wolfgang Brütting (7 shared papers)Tobias D. Schmidt (5 shared papers)Mark E. Thompson (4 shared papers)Peter I. Djurovich (4 shared papers)Matthew J. Jurow (4 shared papers)Martin Riedmiller (10 shared papers)Christian Mayr (2 shared papers)Daniel Sylvinson Muthiah Ravinson (1 shared paper)
- Journals
- Nano Letters (1 paper)Frontiers in Psychology (1 paper)Chemistry of Materials (1 paper)ACS Applied Materials & Interfaces (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Thomas Lampe
21 papers receiving 755 citations
Peers
Comparison fields: 5 of 66
- Electrical and Electronic Engineering 507
- Materials Chemistry 345
- Polymers and Plastics 79
- Control and Systems Engineering 95
- Artificial Intelligence 122
Countries citing papers authored by Thomas Lampe
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
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-authors
The 25 scholars most cited alongside Thomas Lampe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 222 | |
| 2 | 2017 | 172 | |
| 3 | 2017 | 80 | |
| 4 | Learning by Playing - Solving Sparse Reward Tasks from Scratch | 2018 | 52 |
| 5 | 2016 | 52 | |
| 6 | 2013 | 40 | |
| 7 | 2020 | 35 | |
| 8 | 2014 | 24 | |
| 9 | Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning | 2020 | 18 |
| 10 | 2014 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2002 | 10 | |
| 13 | 2016 | 9 | |
| 14 | 2013 | 9 | |
| 15 | 2015 | 7 | |
| 16 | 2022 | 4 | |
| 17 | Data-efficient Hindsight Off-policy Option Learning | 2021 | 3 |
| 18 | 2004 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2024 | 1 |
About Thomas Lampe
Thomas Lampe is a scholar working on Artificial Intelligence, Materials Chemistry, Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 770 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (8 papers), Organic Electronics and Photovoltaics (5 papers), Organic Light-Emitting Diodes Research (4 papers), Luminescence and Fluorescent Materials (4 papers), Robot Manipulation and Learning (4 papers), Adversarial Robustness in Machine Learning (2 papers), Muon and positron interactions and applications (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (507 citations), Materials Chemistry (345 citations), Polymers and Plastics (79 citations), Control and Systems Engineering (95 citations) and Artificial Intelligence (122 citations). Thomas Lampe has collaborated with scholars based in Germany, United States and United Kingdom. Frequent 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. Their work appears in journals such as Nano Letters, Frontiers in Psychology, Chemistry of Materials, ACS Applied Materials & Interfaces and Applied Physics Letters.
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.