Stephanie E. Palmer
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- William BialekOlivier MarreMichael J. BerryLeslie C. OsborneStephen G. LisbergerThierry MoraGašper TkačikDario Amodei
- Topics
- Neural dynamics and brain function (18 papers)Visual perception and processing mechanisms (10 papers)Neurobiology and Insect Physiology Research (6 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Stephanie E. Palmer
33 papers receiving 754 citations
Peers
Comparison fields: 5 of 98
- Cognitive Neuroscience 471
- Cellular and Molecular Neuroscience 197
- Molecular Biology 140
- Artificial Intelligence 117
- Statistical and Nonlinear Physics 107
Countries citing papers authored by Stephanie E. Palmer
This map shows the geographic impact of Stephanie E. Palmer'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 Stephanie E. Palmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie E. Palmer more than expected).
Fields of papers citing papers by Stephanie E. Palmer
This network shows the impact of papers produced by Stephanie E. Palmer. 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 Stephanie E. Palmer. The network helps show where Stephanie E. Palmer may publish in the future.
Co-authorship network of co-authors of Stephanie E. Palmer
This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie E. Palmer. A scholar is included among the top collaborators of Stephanie E. Palmer 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 Stephanie E. Palmer. Stephanie E. Palmer 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 | 3 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 13 | |
| 9 | 7 | |
| 10 | 48 | |
| 11 | 38 | |
| 12 | 60 | |
| 13 | 6 | |
| 14 | 36 | |
| 15 | 22 | |
| 16 | 134 | |
| 17 | Transformation of stimulus correlations by the retina | 1 |
| 18 | 116 | |
| 19 | 14 | |
| 20 | E-COMP: a few words about teaching writing with computers | 1 |
About Stephanie E. Palmer
Stephanie E. Palmer is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Biology, having authored 36 papers that have together received 773 indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), Visual perception and processing mechanisms (10 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Cognitive Neuroscience (471 citations), Cellular and Molecular Neuroscience (197 citations) and Statistical and Nonlinear Physics (107 citations). Stephanie E. Palmer has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include William Bialek, Olivier Marre, Michael J. Berry, Leslie C. Osborne, Stephen G. Lisberger, Thierry Mora, Gašper Tkačik, Dario Amodei, David J. Freedman and Marcus R. Kronforst. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.