Samuel M. McClure
- Cognitive Neuroscience top 0.2%
- General Decision Sciences top 0.05%
- Experimental and Cognitive Psychology top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Social Psychology top 1%
- Co-authors
- Jonathan D. CohenGeorge LoewensteinDavid LaibsonP. Read MontagueGregory S. BernsAngela J. YuWouter van den BosKimberlee D’Ardenne
- Topics
- Neural and Behavioral Psychology Studies (52 papers)Decision-Making and Behavioral Economics (22 papers)Neural dynamics and brain function (20 papers)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Samuel M. McClure
74 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Cognitive Neuroscience 6.4k
- General Decision Sciences 2.4k
- Experimental and Cognitive Psychology 2.4k
- Cellular and Molecular Neuroscience 1.6k
- Social Psychology 1.2k
Countries citing papers authored by Samuel M. McClure
This map shows the geographic impact of Samuel M. McClure'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 Samuel M. McClure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel M. McClure more than expected).
Fields of papers citing papers by Samuel M. McClure
This network shows the impact of papers produced by Samuel M. McClure. 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 Samuel M. McClure. The network helps show where Samuel M. McClure may publish in the future.
Co-authorship network of co-authors of Samuel M. McClure
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel M. McClure. A scholar is included among the top collaborators of Samuel M. McClure 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 Samuel M. McClure. Samuel M. McClure is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 16 | |
| 5 | 16 | |
| 6 | 29 | |
| 7 | 28 | |
| 8 | 19 | |
| 9 | 12 | |
| 10 | 24 | |
| 11 | 42 | |
| 12 | 4 | |
| 13 | 32 | |
| 14 | 96 | |
| 15 | Age Differences in Striatal Delay Sensitivity During Intertemporal Choice in Healthy Adults | 0 |
| 16 | 111 | |
| 17 | 71 | |
| 18 | 47 | |
| 19 | 356 | |
| 20 | An exploration-exploitation model based on norepinepherine and dopamine activity | 42 |
About Samuel M. McClure
Samuel M. McClure is a scholar working on General Decision Sciences, Cognitive Neuroscience and Applied Psychology, having authored 75 papers that have together received 10.9k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (52 papers), Decision-Making and Behavioral Economics (22 papers) and Neural dynamics and brain function (20 papers). The work is most often cited by research in General Decision Sciences (2.4k citations), Cognitive Neuroscience (6.4k citations) and Applied Psychology (1.1k citations). Samuel M. McClure has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Jonathan D. Cohen, George Loewenstein, David Laibson, P. Read Montague, Gregory S. Berns, P. Read Montague, Angela J. Yu, Wouter van den Bos, Kimberlee D’Ardenne and Keith M. Marzilli Ericson. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.