Nathan Lambert
Impact in
-
- Ethics and Social Impacts of AI
Papers in
-
- Reinforcement Learning in Robotics 3
-
- Ethics and Social Impacts of AI 2
- Co-authors
- Kristofer S. J. Pister (2 shared papers)Daniel Drew (1 shared paper)Roberto Calandra (3 shared papers)Akshara Rai (1 shared paper)Franziska Meier (1 shared paper)Tianyu Li (1 shared paper)Thomas Krendl Gilbert (2 shared papers)Sarah Dean (2 shared papers)
- Journals
- British Journal of Educational Psychology (1 paper)IEEE Robotics and Automation Letters (1 paper)Acta Astronautica (1 paper)Educational Psychology in Practice (1 paper)Educational and Child Psychology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Nathan Lambert
13 papers receiving 136 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 6
- Safety Research 16
- Artificial Intelligence 36
- Aerospace Engineering 24
- Computer Science Applications 4
Countries citing papers authored by Nathan Lambert
This map shows the geographic impact of Nathan Lambert'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 Nathan Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Lambert more than expected).
Fields of papers citing papers by Nathan Lambert
This network shows the impact of papers produced by Nathan Lambert. 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 Nathan Lambert. The network helps show where Nathan Lambert may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Lambert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 53 | |
| 2 | 2020 | 28 | |
| 3 | 2010 | 21 | |
| 4 | 2023 | 11 | |
| 5 | 2021 | 10 | |
| 6 | Debt Begets Debt: Examining Negative Credit Card Behaviors and Other Forms of Consumer Debt | 2013 | 7 |
| 7 | 2010 | 5 | |
| 8 | 2023 | 3 | |
| 9 | On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning | 2021 | 3 |
| 10 | Objective Mismatch in Model-based Reinforcement Learning | 2020 | 3 |
| 11 | 2023 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 0 |
About Nathan Lambert
Nathan Lambert is a scholar working on Artificial Intelligence, Safety Research, Aerospace Engineering, Molecular Biology and Condensed Matter Physics, having authored 14 papers that have together received 147 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (3 papers), Ethics and Social Impacts of AI (2 papers), Banking stability, regulation, efficiency (1 paper), Q Methodology Applications (1 paper), Educational and Psychological Assessments (1 paper), Housing Market and Economics (1 paper), Housing, Finance, and Neoliberalism (1 paper) and Electrohydrodynamics and Fluid Dynamics (1 paper). The work is most often cited by research in Health Informatics (6 citations), Safety Research (16 citations), Artificial Intelligence (36 citations), Aerospace Engineering (24 citations) and Computer Science Applications (4 citations). Nathan Lambert has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kristofer S. J. Pister, Daniel Drew, Roberto Calandra, Akshara Rai, Franziska Meier, Tianyu Li, Thomas Krendl Gilbert, Sarah Dean, Tom Zick and Andy Miller. Their work appears in journals such as British Journal of Educational Psychology, IEEE Robotics and Automation Letters, Acta Astronautica, Educational Psychology in Practice and Educational and Child Psychology.
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.