Falk Lieder
- General Decision Sciences top 0.5%
- Decision-Making and Behavioral Economics 28
- Cognitive Neuroscience top 2%
- Neural and Behavioral Psychology Studies 14
- Neural dynamics and brain function 7
- Applied Psychology top 2%
- Behavioral Health and Interventions 10
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- Complex Systems and Decision Making 8
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- Cognitive Science and Mapping 7
- Explainable Artificial Intelligence (XAI) 6
- Bayesian Modeling and Causal Inference 5
- Co-authors
- Thomas L. GriffithsNoah D. GoodmanAmitai ShenhavSebastian MusslickJonathan D. CohenWouter KoolMatthew BotvinickJean Daunizeau
- Journals
- Cognitive Science (9 papers)PLoS Computational Biology (4 papers)Psychological Review (3 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Falk Lieder
59 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- General Decision Sciences 626
- Cognitive Neuroscience 1.1k
- Applied Psychology 225
- Experimental and Cognitive Psychology 415
- Developmental and Educational Psychology 278
Countries citing papers authored by Falk Lieder
This map shows the geographic impact of Falk Lieder'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 Falk Lieder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Falk Lieder more than expected).
Fields of papers citing papers by Falk Lieder
This network shows the impact of papers produced by Falk Lieder. 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 Falk Lieder. The network helps show where Falk Lieder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Falk Lieder, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 5 | |
| 9 | Encouraging far-sightedness with automatically generated descriptions of optimal planning strategies: Potentials and Limitations | 2021 | 1 |
| 10 | 2021 | 20 | |
| 11 | 2021 | 8 | |
| 12 | 2019 | 58 | |
| 13 | 2019 | 21 | |
| 14 | 2018 | 69 | |
| 15 | 2017 | 112 | |
| 16 | 2017 | 90 | |
| 17 | 2013 | 89 | |
| 18 | 2013 | 31 | |
| 19 | 2013 | 117 | |
| 20 | Burn-in, bias, and the rationality of anchoring | 2012 | 50 |
About Falk Lieder
Falk Lieder is a scholar working on General Decision Sciences, Applied Psychology and Cognitive Neuroscience, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (28 papers), Neural and Behavioral Psychology Studies (14 papers), Behavioral Health and Interventions (10 papers), Complex Systems and Decision Making (8 papers), Neural dynamics and brain function (7 papers), Cognitive Science and Mapping (7 papers), Explainable Artificial Intelligence (XAI) (6 papers) and Bayesian Modeling and Causal Inference (5 papers). The work is most often cited by research in General Decision Sciences (626 citations), Cognitive Neuroscience (1.1k citations) and Applied Psychology (225 citations). Falk Lieder has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Thomas L. Griffiths, Noah D. Goodman, Amitai Shenhav, Sebastian Musslick, Jonathan D. Cohen, Wouter Kool, Matthew Botvinick, Jean Daunizeau, Karl Friston and Marta I. Garrido. Their work appears in journals such as Cognitive Science, PLoS Computational Biology, Psychological Review, Computational Brain & Behavior and Nature Human Behaviour.
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.