Ari Weinstein
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
Papers in
-
- Reinforcement Learning in Robotics 8
- Artificial Intelligence in Games 3
- Data Stream Mining Techniques 2
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- Advanced Bandit Algorithms Research 3
- Complex Systems and Decision Making 1
- Co-authors
- Matthew Botvinick (4 shared papers)Michael L. Littman (6 shared papers)Peter Battaglia (1 shared paper)Alec Solway (1 shared paper)Andrew G. Barto (1 shared paper)Jan Balaguer (1 shared paper)Andrea Tacchetti (1 shared paper)Lucy Campbell-Gillingham (1 shared paper)
- Journals
- Nature Human Behaviour (2 papers)Cognition (1 paper)Decision (1 paper)Current Opinion in Behavioral Sciences (1 paper)JOM (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Ari Weinstein
14 papers receiving 378 citations
Peers
Comparison fields: 5 of 76
- General Decision Sciences 16
- Cognitive Neuroscience 117
- Artificial Intelligence 181
- Management Science and Operations Research 44
- Safety Research 26
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 19 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 | 104 | |
| 2 | 2022 | 56 | |
| 3 | 2022 | 52 | |
| 4 | 2011 | 52 | |
| 5 | 2012 | 35 | |
| 6 | 2015 | 28 | |
| 7 | 2014 | 25 | |
| 8 | 2013 | 19 | |
| 9 | The Cross-Entropy Method Optimizes for Quantiles | 2013 | 12 |
| 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 | 2 |
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 403 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), Neural and Behavioral Psychology Studies (2 papers), Child and Animal Learning Development (2 papers), Metallurgy and Cultural Artifacts (1 paper) and Complex Systems and Decision Making (1 paper). The work is most often cited by research in General Decision Sciences (16 citations), Cognitive Neuroscience (117 citations), Artificial Intelligence (181 citations), Management Science and Operations Research (44 citations) and Safety Research (26 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, Alec Solway, Andrew G. Barto, Jan Balaguer, Andrea Tacchetti, Lucy Campbell-Gillingham, Oliver Hauser and Raphaël Koster. Their work appears in journals such as Nature Human Behaviour, Cognition, Decision, Current Opinion in Behavioral Sciences and JOM.
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.