D.S. Pellinen

837 total citations · 1 hit paper
9 papers, 656 citations indexed

About

D.S. Pellinen is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, D.S. Pellinen has authored 9 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 5 papers in Electrical and Electronic Engineering and 4 papers in Cognitive Neuroscience. Recurrent topics in D.S. Pellinen's work include Neuroscience and Neural Engineering (9 papers), Advanced Memory and Neural Computing (5 papers) and EEG and Brain-Computer Interfaces (4 papers). D.S. Pellinen is often cited by papers focused on Neuroscience and Neural Engineering (9 papers), Advanced Memory and Neural Computing (5 papers) and EEG and Brain-Computer Interfaces (4 papers). D.S. Pellinen collaborates with scholars based in United States. D.S. Pellinen's co-authors include Daryl R. Kipke, R.J. Vetter, P.J. Rousche, D.P. Pivin, Justin C. Williams, J.F. Hetke, Ken Yoshida, Rachel M. Miriani, Taeho Moon and David J. Anderson and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Deep Blue (University of Michigan) and PubMed.

In The Last Decade

D.S. Pellinen

9 papers receiving 638 citations

Hit Papers

Flexible polyimide-based intracortical electrode arrays w... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D.S. Pellinen United States 7 604 322 230 229 141 9 656
S. Lin United States 9 517 0.9× 279 0.9× 342 1.5× 193 0.8× 104 0.7× 11 709
Amelia A. Schendel United States 7 528 0.9× 285 0.9× 279 1.2× 257 1.1× 108 0.8× 8 711
Juan S. Ordonez Germany 17 529 0.9× 175 0.5× 267 1.2× 295 1.3× 138 1.0× 55 687
Sanitta Thongpang United States 11 709 1.2× 385 1.2× 354 1.5× 337 1.5× 158 1.1× 24 971
Emma Maggiolini Italy 14 569 0.9× 309 1.0× 258 1.1× 212 0.9× 271 1.9× 29 725
Maria Vomero United States 15 477 0.8× 164 0.5× 268 1.2× 233 1.0× 224 1.6× 29 639
Gian Nicola Angotzi Italy 15 540 0.9× 329 1.0× 317 1.4× 229 1.0× 119 0.8× 43 674
Sarita Martins Brazil 3 442 0.7× 207 0.6× 125 0.5× 171 0.7× 124 0.9× 3 502
Latimer Clark United States 4 348 0.6× 169 0.5× 131 0.6× 157 0.7× 88 0.6× 7 405

Countries citing papers authored by D.S. Pellinen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of D.S. Pellinen

This figure shows the co-authorship network connecting the top 25 collaborators of D.S. Pellinen. A scholar is included among the top collaborators of D.S. Pellinen 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 D.S. Pellinen. D.S. Pellinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Connolly, Allison T., R.J. Vetter, J.F. Hetke, et al.. (2015). A Novel Lead Design for Modulation and Sensing of Deep Brain Structures. IEEE Transactions on Biomedical Engineering. 63(1). 148–157. 30 indexed citations
2.
Pellinen, D.S., Taeho Moon, R.J. Vetter, Rachel M. Miriani, & Daryl R. Kipke. (2005). Multifunctional Flexible Parylene-Based Intracortical Microelectrodes. PubMed. 21. 5272–5275. 25 indexed citations
3.
Pellinen, D.S.. (2005). Multifunctional flexible polymer-based intracortical neural recording microelectrodes.. Deep Blue (University of Michigan). 1 indexed citations
4.
Pellinen, D.S., et al.. (2004). Long term in vitro monitoring of polyimide microprobe electrical properties. 3340–3343. 9 indexed citations
5.
Vetter, R.J., Roy H. Olsson, J.F. Hetke, et al.. (2004). Silicon-substrate intracortical microelectrode arrays with integrated electronics for chronic cortical recording. 2164–2167. 1 indexed citations
6.
Kipke, Daryl R., D.S. Pellinen, & R.J. Vetter. (2003). Advanced neural implants using thin-film polymers. 4. IV–173. 20 indexed citations
7.
Hetke, J.F., Justin C. Williams, D.S. Pellinen, R.J. Vetter, & Daryl R. Kipke. (2003). 3-D silicon probe array with hybrid polymer interconnect for chronic cortical recording. 181–184. 28 indexed citations
8.
Rousche, P.J., D.S. Pellinen, D.P. Pivin, et al.. (2001). Flexible polyimide-based intracortical electrode arrays with bioactive capability. IEEE Transactions on Biomedical Engineering. 48(3). 361–371. 510 indexed citations breakdown →
9.
Yoshida, Ken, D.S. Pellinen, D.P. Pivin, P.J. Rousche, & Daryl R. Kipke. (2000). Development of the thin-film longitudinal intra-fascicular electrode. 279–281. 32 indexed citations

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.

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