D.S. Pellinen
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in ⓘ
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- Neuroscience and Neural Engineering 9
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- Advanced Memory and Neural Computing 5
- Co-authors
- Daryl R. Kipke (8 shared papers)R.J. Vetter (6 shared papers)Justin C. Williams (3 shared papers)P.J. Rousche (2 shared papers)D.P. Pivin (2 shared papers)J.F. Hetke (3 shared papers)Ken Yoshida (1 shared paper)Taeho Moon (1 shared paper)
- Journals
- IEEE Transactions on Biomedical Engineering (2 papers)Deep Blue (University of Michigan) (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
D.S. Pellinen
9 papers receiving 638 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Cellular and Molecular Neuroscience 604
- Cognitive Neuroscience 322
- Polymers and Plastics 141
- Biomedical Engineering 229
- Electrical and Electronic Engineering 230
Countries citing papers authored by D.S. Pellinen
This map shows the geographic impact of D.S. Pellinen'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 D.S. Pellinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.S. Pellinen more than expected).
Fields of papers citing papers by D.S. Pellinen
This network shows the impact of papers produced by D.S. Pellinen. 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 D.S. Pellinen. The network helps show where D.S. Pellinen may publish in the future.
Co-authors
The 19 scholars most cited alongside D.S. Pellinen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Flexible polyimide-based intracortical electrode arrays with bioactive capability Hit paper breakdown → | 2001 | 510 |
| 2 | Development of the thin-film longitudinal intra-fascicular electrode | 2000 | 32 |
| 3 | 2015 | 30 | |
| 4 | 2003 | 28 | |
| 5 | 2005 | 25 | |
| 6 | 2003 | 20 | |
| 7 | 2004 | 9 | |
| 8 | Multifunctional flexible polymer-based intracortical neural recording microelectrodes. | 2005 | 1 |
| 9 | 2004 | 1 |
About D.S. Pellinen
D.S. Pellinen is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience, Bioengineering and Biomedical Engineering, having authored 9 papers that have together received 656 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (9 papers), Advanced Memory and Neural Computing (5 papers), EEG and Brain-Computer Interfaces (4 papers), Analytical Chemistry and Sensors (2 papers), Muscle activation and electromyography studies (2 papers), Transcranial Magnetic Stimulation Studies (1 paper), Conducting polymers and applications (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (604 citations), Cognitive Neuroscience (322 citations), Polymers and Plastics (141 citations), Biomedical Engineering (229 citations) and Electrical and Electronic Engineering (230 citations). D.S. Pellinen has collaborated with scholars based in United States. Frequent co-authors include Daryl R. Kipke, R.J. Vetter, Justin C. Williams, P.J. Rousche, D.P. Pivin, J.F. Hetke, Ken Yoshida, Taeho Moon, Rachel M. Miriani and Matthew D. Johnson. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Deep Blue (University of Michigan) and PubMed.
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.