Mehdi Keramati
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics 7
- Cognitive Neuroscience top 5%
- Neural and Behavioral Psychology Studies 10
- Neural dynamics and brain function 5
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- Cognitive Abilities and Testing 2
- Applied Psychology top 10%
- Behavioral Health and Interventions 2
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- Neurotransmitter Receptor Influence on Behavior 7
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- Receptor Mechanisms and Signaling 5
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- Child and Animal Learning Development 2
- Co-authors
- Boris GutkinAmir DezfouliPayam PirayRaymond J. DolanPeter DayanPeter SmittenaarRani MoranKensaku Nomoto
- Partner nations
- United KingdomFranceGermany
In The Last Decade
Mehdi Keramati
19 papers receiving 861 citations
Peers
Comparison fields: 5 of 90
- General Decision Sciences 116
- Cognitive Neuroscience 598
- Experimental and Cognitive Psychology 189
- Applied Psychology 57
- Cellular and Molecular Neuroscience 162
Countries citing papers authored by Mehdi Keramati
This map shows the geographic impact of Mehdi Keramati'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 Mehdi Keramati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehdi Keramati more than expected).
Fields of papers citing papers by Mehdi Keramati
This network shows the impact of papers produced by Mehdi Keramati. 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 Mehdi Keramati. The network helps show where Mehdi Keramati may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Mehdi Keramati, 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 | 2021 | 1 | |
| 2 | 2021 | 6 | |
| 3 | 2019 | 26 | |
| 4 | 2019 | 89 | |
| 5 | 2019 | 12 | |
| 6 | 2018 | 9 | |
| 7 | 2018 | 5 | |
| 8 | 2017 | 35 | |
| 9 | 2017 | 63 | |
| 10 | 2017 | 6 | |
| 11 | 2017 | 100 | |
| 12 | 2017 | 13 | |
| 13 | 2016 | 112 | |
| 14 | 2014 | 114 | |
| 15 | Drug dominated dopamine circuits spiral addicts into a cognitive behavioral conflict. | 2013 | 1 |
| 16 | 2013 | 34 | |
| 17 | 2012 | 1 | |
| 18 | A Reinforcement Learning Theory for Homeostatic Regulation | 2011 | 18 |
| 19 | 2011 | 229 |
About Mehdi Keramati
Mehdi Keramati is a scholar working on General Decision Sciences, Cognitive Neuroscience, Applied Psychology, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology, having authored 19 papers that have together received 874 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (10 papers), Decision-Making and Behavioral Economics (7 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Neural dynamics and brain function (5 papers), Receptor Mechanisms and Signaling (5 papers), Cognitive Abilities and Testing (2 papers), Behavioral Health and Interventions (2 papers) and Child and Animal Learning Development (2 papers). The work is most often cited by research in General Decision Sciences (116 citations), Cognitive Neuroscience (598 citations), Experimental and Cognitive Psychology (189 citations), Applied Psychology (57 citations) and Cellular and Molecular Neuroscience (162 citations). Mehdi Keramati has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include Boris Gutkin, Amir Dezfouli, Payam Piray, Raymond J. Dolan, Peter Dayan, Peter Smittenaar, Rani Moran, Kensaku Nomoto, Masamichi Sakagami and Ádám Kepecs. Their work appears in journals such as PLoS Computational Biology, PLoS ONE, BMC Neuroscience, Current Biology and Nature Communications.
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.