P. Read Montague

26.0k citations
123 papers · 17.3k indexed · 8 hit papers · h-index 48
Topics
Neural and Behavioral Psychology Studies (42 papers)Neural dynamics and brain function (37 papers)Functional Brain Connectivity Studies (25 papers)

In The Last Decade

P. Read Montague

119 papers receiving 16.8k citations

Hit Papers

A Neural Substrate of Prediction and Reward1997202620062016199720082005200320022.0k4.0k6.0k

Peers

P. Read Montague
Comparison fields: 5 of 181
  • Cognitive Neuroscience 11.0k
  • Cellular and Molecular Neuroscience 4.0k
  • Experimental and Cognitive Psychology 3.0k
  • Social Psychology 2.9k
  • Clinical Psychology 2.1k
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Countries citing papers authored by P. Read Montague

Since Specialization
Citations

This map shows the geographic impact of P. Read Montague'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 P. Read Montague with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Read Montague more than expected).

Fields of papers citing papers by P. Read Montague

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Read Montague. 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 P. Read Montague. The network helps show where P. Read Montague may publish in the future.

Co-authorship network of co-authors of P. Read Montague

This figure shows the co-authorship network connecting the top 25 collaborators of P. Read Montague. A scholar is included among the top collaborators of P. Read Montague based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Read Montague. P. Read Montague is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 23
3 6
4 10
5 143
6 40
7 25
8 32
9 98
10
Generosity is its Own Reward: The Neural Basis of Representation
1
11
Bayesian Model of Behaviour in Economic Games
25
12 47
13
What's in a smile? Maternal brain responses to infant facial cues (vol 122, pg 40, 2008)
1
14 32
15 117
16 145
17 246
18
Neural Economics and the Biological Substrates of Valuationbreakdown →
692
19
Foraging in an Uncertain Environment Using Predictive Hebbian Learning
15
20
Using Aperiodic Reinforcement for Directed Self-Organization During Development
17

About P. Read Montague

P. Read Montague is a scholar working on General Decision Sciences, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 123 papers that have together received 17.3k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (42 papers), Neural dynamics and brain function (37 papers) and Functional Brain Connectivity Studies (25 papers). The work is most often cited by research in General Decision Sciences (1.6k citations), Cognitive Neuroscience (11.0k citations) and Experimental and Cognitive Psychology (3.0k citations). P. Read Montague has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Peter Dayan, Wolfram Schultz, Colin F. Camerer, Gregory S. Berns, Terry Lohrenz, Antonio Rangel, Brooks King‐Casas, Peter Fonagy, Samuel M. McClure and Lane Strathearn. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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.

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