Earl K. Miller
- Cognitive Neuroscience top 0.01%
- Cellular and Molecular Neuroscience top 0.1%
- Experimental and Cognitive Psychology top 0.1%
- Social Psychology top 0.2%
- Developmental and Educational Psychology top 0.5%
- Co-authors
- Jonathan D. CohenRobert DesimoneTimothy J. BuschmanGregor RainerJoni D. WallisDavid J. FreedmanWael F. AsaadMikael Lundqvist
- Topics
- Neural dynamics and brain function (125 papers)Neural and Behavioral Psychology Studies (53 papers)Memory and Neural Mechanisms (52 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceExperimental and Cognitive Psychology
- Partner nations
- United StatesGermanySweden
In The Last Decade
Earl K. Miller
167 papers receiving 34.8k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Cognitive Neuroscience 30.1k
- Cellular and Molecular Neuroscience 6.5k
- Experimental and Cognitive Psychology 3.8k
- Social Psychology 2.6k
- Developmental and Educational Psychology 2.0k
Countries citing papers authored by Earl K. Miller
This map shows the geographic impact of Earl K. Miller'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 Earl K. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Earl K. Miller more than expected).
Fields of papers citing papers by Earl K. Miller
This network shows the impact of papers produced by Earl K. Miller. 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 Earl K. Miller. The network helps show where Earl K. Miller may publish in the future.
Co-authorship network of co-authors of Earl K. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Earl K. Miller. A scholar is included among the top collaborators of Earl K. Miller 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 Earl K. Miller. Earl K. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 36 | |
| 4 | 30 | |
| 5 | 34 | |
| 6 | 10 | |
| 7 | 24 | |
| 8 | 5 | |
| 9 | 33 | |
| 10 | 143 | |
| 11 | 64 | |
| 12 | 22 | |
| 13 | 34 | |
| 14 | 22 | |
| 15 | 50 | |
| 16 | 8 | |
| 17 | 30 | |
| 18 | Frequency-specific hippocampal-prefrontal interactions during associative learning | 2 |
| 19 | Prefrontal dopamine in associative learning and memory | 1 |
| 20 | 46 |
About Earl K. Miller
Earl K. Miller is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Pharmacy, having authored 172 papers that have together received 35.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (125 papers), Neural and Behavioral Psychology Studies (53 papers) and Memory and Neural Mechanisms (52 papers). The work is most often cited by research in Cognitive Neuroscience (30.1k citations), Cellular and Molecular Neuroscience (6.5k citations) and Experimental and Cognitive Psychology (3.8k citations). Earl K. Miller has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Jonathan D. Cohen, Robert Desimone, Timothy J. Buschman, Gregor Rainer, Joni D. Wallis, David J. Freedman, Wael F. Asaad, Mikael Lundqvist, Andreas Nieder and Leonardo Chelazzi. 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.