Ari Weinstein
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
Papers in
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- Reinforcement Learning in Robotics 8
- Artificial Intelligence in Games 3
- Data Stream Mining Techniques 2
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- Advanced Bandit Algorithms Research 3
- Co-authors
- Matthew Botvinick (4 shared papers)Michael L. Littman (6 shared papers)Peter Battaglia (1 shared paper)Andrew G. Barto (1 shared paper)Alec Solway (1 shared paper)Jan Balaguer (1 shared paper)Andrea Tacchetti (1 shared paper)Raphaël Koster (1 shared paper)
- Journals
- Nature Human Behaviour (2 papers)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)Current Opinion in Behavioral Sciences (1 paper)Decision (1 paper)Cognitive Science (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Ari Weinstein
14 papers receiving 336 citations
Peers
Comparison fields: 5 of 72
- General Decision Sciences 15
- Cognitive Neuroscience 113
- Artificial Intelligence 158
- Management Science and Operations Research 38
- Developmental and Educational Psychology 36
Countries citing papers authored by Ari Weinstein
This map shows the geographic impact of Ari Weinstein'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 Ari Weinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ari Weinstein more than expected).
Fields of papers citing papers by Ari Weinstein
This network shows the impact of papers produced by Ari Weinstein. 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 Ari Weinstein. The network helps show where Ari Weinstein may publish in the future.
Co-authors
The 18 scholars most cited alongside Ari Weinstein, 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 | 2014 | 97 | |
| 2 | 2022 | 51 | |
| 3 | 2011 | 45 | |
| 4 | 2022 | 44 | |
| 5 | 2012 | 33 | |
| 6 | 2015 | 25 | |
| 7 | 2014 | 23 | |
| 8 | 2013 | 13 | |
| 9 | The Cross-Entropy Method Optimizes for Quantiles | 2013 | 9 |
| 10 | 2002 | 6 | |
| 11 | 2015 | 6 | |
| 12 | Planning in Reward-Rich Domains via PAC Bandits | 2012 | 4 |
| 13 | Perception of intentions and mental states in autonomous virtual agents | 2011 | 2 |
| 14 | Rollout-based Game-tree Search Outprunes Traditional Alpha-beta | 2012 | 1 |
About Ari Weinstein
Ari Weinstein is a scholar working on Artificial Intelligence, Management Science and Operations Research, Cognitive Neuroscience, Developmental and Educational Psychology and Molecular Biology, having authored 14 papers that have together received 359 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (8 papers), Artificial Intelligence in Games (3 papers), Advanced Bandit Algorithms Research (3 papers), Data Stream Mining Techniques (2 papers), Child and Animal Learning Development (2 papers), Neural and Behavioral Psychology Studies (2 papers), Global Energy Security and Policy (1 paper) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in General Decision Sciences (15 citations), Cognitive Neuroscience (113 citations), Artificial Intelligence (158 citations), Management Science and Operations Research (38 citations) and Developmental and Educational Psychology (36 citations). Ari Weinstein has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Matthew Botvinick, Michael L. Littman, Peter Battaglia, Andrew G. Barto, Alec Solway, Jan Balaguer, Andrea Tacchetti, Raphaël Koster, Lucy Campbell-Gillingham and Christopher Summerfield. Their work appears in journals such as Nature Human Behaviour, Philosophical Transactions of the Royal Society B Biological Sciences, Current Opinion in Behavioral Sciences, Decision and Cognitive Science.
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.