Jonathan Malmaud
Impact in
- General Decision Sciences top 2%
- Decision-Making and Behavioral Economics
- Applied Psychology top 5%
- Behavioral Health and Interventions
Papers in
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- Decision-Making and Behavioral Economics 2
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- Multimodal Machine Learning Applications 2
- Advanced Image and Video Retrieval Techniques 1
- Co-authors
- António O.S.S. Rangel (1 shared paper)Todd Anthony Hare (1 shared paper)Christof Koch (2 shared papers)Milica Milosavljevic (2 shared papers)Alex R Huth (2 shared papers)Antonio Rangel (1 shared paper)Kevin P. Murphy (2 shared papers)Nancy Chang (1 shared paper)
- Journals
- Journal of Neuroscience (1 paper)Decision (1 paper)Judgment and Decision Making (1 paper)CaltechAUTHORS (California Institute of Technology) (1 paper)arXiv (Cornell University) (3 papers)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Jonathan Malmaud
9 papers receiving 702 citations
Peers
Comparison fields: 5 of 81
- General Decision Sciences 184
- Applied Psychology 127
- Cognitive Neuroscience 372
- Sensory Systems 56
- Experimental and Cognitive Psychology 118
Countries citing papers authored by Jonathan Malmaud
This map shows the geographic impact of Jonathan Malmaud'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 Jonathan Malmaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Malmaud more than expected).
Fields of papers citing papers by Jonathan Malmaud
This network shows the impact of papers produced by Jonathan Malmaud. 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 Jonathan Malmaud. The network helps show where Jonathan Malmaud may publish in the future.
Co-authors
The 19 scholars most cited alongside Jonathan Malmaud, 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 | 2011 | 412 | |
| 2 | 2010 | 241 | |
| 3 | 2014 | 40 | |
| 4 | 2016 | 8 | |
| 5 | 2018 | 7 | |
| 6 | 2015 | 6 | |
| 7 | The drift diffusion model can account for value-based choice response times under high and low time pressure | 2010 | 4 |
| 8 | 2020 | 2 | |
| 9 | 2021 | 2 |
About Jonathan Malmaud
Jonathan Malmaud is a scholar working on General Decision Sciences, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and Applied Psychology, having authored 9 papers that have together received 722 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (2 papers), Decision-Making and Behavioral Economics (2 papers), Topic Modeling (2 papers), Multimodal Machine Learning Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Behavioral Health and Interventions (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in General Decision Sciences (184 citations), Applied Psychology (127 citations), Cognitive Neuroscience (372 citations), Sensory Systems (56 citations) and Experimental and Cognitive Psychology (118 citations). Jonathan Malmaud has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include António O.S.S. Rangel, Todd Anthony Hare, Christof Koch, Milica Milosavljevic, Alex R Huth, Antonio Rangel, Kevin P. Murphy, Nancy Chang, Samuel J. Gershman and Josh Tenenbaum. Their work appears in journals such as Journal of Neuroscience, Decision, Judgment and Decision Making, CaltechAUTHORS (California Institute of Technology) and arXiv (Cornell University).
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.