Eric Schulz
Impact in
- General Decision Sciences top 1%
- Decision-Making and Behavioral Economics
- Applied Psychology top 2%
- Behavioral Health and Interventions
Papers in
-
- Reinforcement Learning in Robotics 9
- Gaussian Processes and Bayesian Inference 7
- Cognitive Science and Mapping 7
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- Decision-Making and Behavioral Economics 20
- Co-authors
- Maarten Speekenbrink (19 shared papers)Andreas Krause (3 shared papers)Marcel Binz (7 shared papers)Samuel J. Gershman (16 shared papers)Edward T. Cokely (3 shared papers)Saima Ghazal (2 shared papers)Rocío García‐Retamero (2 shared papers)Mirta Galešić (2 shared papers)
- Journals
- Nature Human Behaviour (5 papers)Scientific Reports (5 papers)Cognitive Science (5 papers)Cognitive Psychology (4 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Eric Schulz
76 papers receiving 3.5k citations
Eric Schulz's Hit Papers
Peers
Comparison fields: 5 of 193
- General Decision Sciences 406
- Applied Psychology 187
- Cognitive Neuroscience 613
- Health Informatics 39
- Experimental and Cognitive Psychology 324
Countries citing papers authored by Eric Schulz
This map shows the geographic impact of Eric Schulz'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 Eric Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Schulz more than expected).
Fields of papers citing papers by Eric Schulz
This network shows the impact of papers produced by Eric Schulz. 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 Eric Schulz. The network helps show where Eric Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Schulz, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions Hit paper breakdown → | 2018 | 1189 |
| 2 | Measuring Risk Literacy: The Berlin Numeracy Test Hit paper breakdown → | 2012 | 539 |
| 3 | Using cognitive psychology to understand GPT-3 Hit paper breakdown → | 2023 | 288 |
| 4 | 2018 | 130 | |
| 5 | 2011 | 109 | |
| 6 | 2018 | 105 | |
| 7 | 2019 | 96 | |
| 8 | Exploring a taxonomy of global leadership competencies and meta-competencies | 2006 | 80 |
| 9 | 2014 | 64 | |
| 10 | 2019 | 63 | |
| 11 | 2021 | 63 | |
| 12 | 2017 | 63 | |
| 13 | 1990 | 54 | |
| 14 | 2017 | 47 | |
| 15 | 2017 | 44 | |
| 16 | 2020 | 41 | |
| 17 | 2022 | 41 | |
| 18 | 2021 | 40 | |
| 19 | 2023 | 34 | |
| 20 | 2023 | 34 |
About Eric Schulz
Eric Schulz is a scholar working on Artificial Intelligence, General Decision Sciences, Cognitive Neuroscience, Management Science and Operations Research and Developmental and Educational Psychology, having authored 86 papers that have together received 3.6k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (20 papers), Child and Animal Learning Development (11 papers), Advanced Bandit Algorithms Research (11 papers), Reinforcement Learning in Robotics (9 papers), Gaussian Processes and Bayesian Inference (7 papers), Cognitive Science and Mapping (7 papers), Experimental Behavioral Economics Studies (5 papers) and Behavioral Health and Interventions (4 papers). The work is most often cited by research in General Decision Sciences (406 citations), Applied Psychology (187 citations), Cognitive Neuroscience (613 citations), Health Informatics (39 citations) and Experimental and Cognitive Psychology (324 citations). Eric Schulz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Maarten Speekenbrink, Andreas Krause, Marcel Binz, Samuel J. Gershman, Edward T. Cokely, Saima Ghazal, Rocío García‐Retamero, Mirta Galešić, Charley M. Wu and Björn Meder. Their work appears in journals such as Nature Human Behaviour, Scientific Reports, Cognitive Science, Cognitive Psychology and Proceedings of the National Academy of Sciences.
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.