Daryl R. Kipke
- Cellular and Molecular Neuroscience top 0.1%
- Cognitive Neuroscience top 0.2%
- Biomedical Engineering top 0.5%
- Electrical and Electronic Engineering top 1%
- Polymers and Plastics top 0.5%
- Co-authors
- Justin C. WilliamsDavid C. MartinJ.F. HetkeWilliam ShainR.J. VetterKip A. LudwigJohn P. SeymourNicholas B. Langhals
- Topics
- Neuroscience and Neural Engineering (111 papers)EEG and Brain-Computer Interfaces (65 papers)Neural dynamics and brain function (48 papers)
- Journals
- Advanced MaterialsCirculationNeuron
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Daryl R. Kipke
139 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Cellular and Molecular Neuroscience 7.3k
- Cognitive Neuroscience 4.3k
- Biomedical Engineering 2.9k
- Electrical and Electronic Engineering 2.8k
- Polymers and Plastics 2.1k
Countries citing papers authored by Daryl R. Kipke
This map shows the geographic impact of Daryl R. Kipke'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 Daryl R. Kipke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daryl R. Kipke more than expected).
Fields of papers citing papers by Daryl R. Kipke
This network shows the impact of papers produced by Daryl R. Kipke. 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 Daryl R. Kipke. The network helps show where Daryl R. Kipke may publish in the future.
Co-authorship network of co-authors of Daryl R. Kipke
This figure shows the co-authorship network connecting the top 25 collaborators of Daryl R. Kipke. A scholar is included among the top collaborators of Daryl R. Kipke 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 Daryl R. Kipke. Daryl R. Kipke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Abstract 16717: Customizable High-density Microelectrode Arrays for Murine Cardiac Electrophysiology | 1 |
| 2 | 16 | |
| 3 | 21 | |
| 4 | 128 | |
| 5 | 1 | |
| 6 | 114 | |
| 7 | 406 | |
| 8 | 82 | |
| 9 | 48 | |
| 10 | 20 | |
| 11 | 68 | |
| 12 | 225 | |
| 13 | 8 | |
| 14 | 20 | |
| 15 | Chronic neural recordings using silicon microelectrode arrays electrochemically deposited with a poly(3,4-ethylenedioxythiophene) (PEDOT) filmbreakdown → | 522 |
| 16 | 22 | |
| 17 | 12 | |
| 18 | 25 | |
| 19 | 21 | |
| 20 | 37 |
About Daryl R. Kipke
Daryl R. Kipke is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 141 papers that have together received 9.6k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (111 papers), EEG and Brain-Computer Interfaces (65 papers) and Neural dynamics and brain function (48 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (7.3k citations), Cognitive Neuroscience (4.3k citations) and Polymers and Plastics (2.1k citations). Daryl R. Kipke has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Justin C. Williams, David C. Martin, J.F. Hetke, William Shain, R.J. Vetter, Kip A. Ludwig, John P. Seymour, Nicholas B. Langhals, Gregory J. Gage and David J. Anderson. Their work appears in journals such as Advanced Materials, Circulation and Neuron.
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.