Kenneth D. Miller
- Cognitive Neuroscience top 0.2%
- Cellular and Molecular Neuroscience top 0.2%
- Electrical and Electronic Engineering top 2%
- Artificial Intelligence top 2%
- Molecular Biology top 10%
- Co-authors
- L. F. AbbottSen SongDavid FersterMichael P. StrykerTodd W. TroyerDavid MackayJoseph B. KellerAnton E. Krukowski
- Topics
- Neural dynamics and brain function (63 papers)Visual perception and processing mechanisms (36 papers)Neuroscience and Neuropharmacology Research (31 papers)
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
Kenneth D. Miller
75 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Cognitive Neuroscience 6.2k
- Cellular and Molecular Neuroscience 4.2k
- Electrical and Electronic Engineering 2.3k
- Artificial Intelligence 812
- Molecular Biology 803
Countries citing papers authored by Kenneth D. Miller
This map shows the geographic impact of Kenneth D. 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 Kenneth D. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth D. Miller more than expected).
Fields of papers citing papers by Kenneth D. Miller
This network shows the impact of papers produced by Kenneth D. 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 Kenneth D. Miller. The network helps show where Kenneth D. Miller may publish in the future.
Co-authorship network of co-authors of Kenneth D. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth D. Miller. A scholar is included among the top collaborators of Kenneth D. 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 Kenneth D. Miller. Kenneth D. 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 | 6 | |
| 2 | 9 | |
| 3 | 11 | |
| 4 | 22 | |
| 5 | 0 | |
| 6 | 214 | |
| 7 | 191 | |
| 8 | 51 | |
| 9 | 82 | |
| 10 | 229 | |
| 11 | 98 | |
| 12 | 1 | |
| 13 | 64 | |
| 14 | Hidden Markov Model of Cortical Synaptic Plasticity: Derivation of the Learning Rule | 3 |
| 15 | 53 | |
| 16 | 37 | |
| 17 | 224 | |
| 18 | 59 | |
| 19 | 6 | |
| 20 | 450 |
About Kenneth D. Miller
Kenneth D. Miller is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics, having authored 78 papers that have together received 7.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (63 papers), Visual perception and processing mechanisms (36 papers) and Neuroscience and Neuropharmacology Research (31 papers). The work is most often cited by research in Cognitive Neuroscience (6.2k citations), Cellular and Molecular Neuroscience (4.2k citations) and Sensory Systems (236 citations). Kenneth D. Miller has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include L. F. Abbott, Sen Song, David Ferster, Michael P. Stryker, Todd W. Troyer, David Mackay, Joseph B. Keller, Anton E. Krukowski, Daniel B. Rubin and Nicholas J. Priebe. 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.