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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- Neural and Behavioral Psychology Studies 3
- Neural dynamics and brain function 2
- Functional Brain Connectivity Studies 2
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- Natural Language Processing Techniques 1
- Topic Modeling 1
- Computational Physics and Python Applications 1
- Co-authors
- António O.S.S. Rangel (2 shared papers)Todd A. Hare (1 shared paper)Christof Koch (3 shared papers)Alexander G. Huth (3 shared papers)Milica Milosavljevic (2 shared papers)Antonio Rangel (1 shared paper)Nancy Chang (1 shared paper)Kevin Murphy (1 shared paper)
- Journals
- Judgment and Decision Making (1 paper)Journal of Neuroscience (1 paper)Scientific Data (1 paper)Decision (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesIsraelAustralia
In The Last Decade
Jonathan Malmaud
7 papers receiving 747 citations
Peers
Comparison fields: 5 of 79
- General Decision Sciences 220
- Applied Psychology 130
- Cognitive Neuroscience 419
- Sensory Systems 57
- Experimental and Cognitive Psychology 127
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 11 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 | 393 | |
| 2 | 2010 | 235 | |
| 3 | 2010 | 87 | |
| 4 | 2014 | 29 | |
| 5 | 2016 | 10 | |
| 6 | 2018 | 5 | |
| 7 | The drift diffusion model can account for value-based choice response times under high and low time pressure | 2010 | 4 |
| 8 | 2025 | 0 |
About Jonathan Malmaud
Jonathan Malmaud is a scholar working on Cognitive Neuroscience, Artificial Intelligence, General Decision Sciences, Applied Psychology and Infectious Diseases, having authored 8 papers that have together received 763 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (3 papers), Decision-Making and Behavioral Economics (2 papers), Neural dynamics and brain function (2 papers), Functional Brain Connectivity Studies (2 papers), Behavioral Health and Interventions (1 paper), Natural Language Processing Techniques (1 paper), Topic Modeling (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in General Decision Sciences (220 citations), Applied Psychology (130 citations), Cognitive Neuroscience (419 citations), Sensory Systems (57 citations) and Experimental and Cognitive Psychology (127 citations). Jonathan Malmaud has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include António O.S.S. Rangel, Todd A. Hare, Christof Koch, Alexander G. Huth, Milica Milosavljevic, Antonio Rangel, Nancy Chang, Kevin Murphy, Samuel J. Gershman and Joshua B. Tenenbaum. Their work appears in journals such as Judgment and Decision Making, Journal of Neuroscience, Scientific Data, Decision and SSRN Electronic Journal.
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.